Victor Apeh | Digital Health | Innovative Research Award

Innovative Research Award

Victor Apeh
Federal University of Allied Health Sciences

                        Victor Apeh
Affiliation Federal University of Allied Health Sciences
Country Nigeria
Scopus ID 57207832202
Documents 22
Citations 160
h-index 8
Subject Area Digital Health
Event Global Diseases Research Awards
ORCID 0000-0003-2987-4046

The Innovative Research Award recognizes researchers who have demonstrated meaningful scientific contributions through original investigations, interdisciplinary collaboration, and measurable research impact. Victor Apeh, affiliated with the Federal University of Allied Health Sciences, has developed a research portfolio emphasizing digital health and evidence-based scientific inquiry. His publication record, citation performance, and sustained scholarly engagement illustrate continued contributions to healthcare research and innovation.[1]

Abstract

Victor Apeh has established a developing research profile in digital health through scholarly publications, interdisciplinary investigations, and evidence-based healthcare research. His work emphasizes the application of digital technologies to improve healthcare delivery, disease monitoring, and public health outcomes while supporting scientific collaboration and knowledge dissemination. With twenty-two indexed publications, one hundred sixty citations, and an h-index of eight, his research demonstrates measurable academic influence and sustained productivity. These achievements reflect continued engagement in impactful scientific inquiry and align with the objectives of the Global Diseases Research Awards, particularly the recognition of innovation that advances healthcare research and digital health practices.[1]

Keywords

Digital Health, Healthcare Innovation, Scientific Research, Medical Informatics, Disease Prevention, Public Health, Health Technology, Evidence-Based Medicine, Global Health, Research Excellence.

Introduction

Digital health has become an essential component of modern healthcare systems by integrating information technology, clinical research, and data-driven decision-making to improve patient outcomes and healthcare efficiency. Researchers working within this discipline contribute to the development of innovative approaches for disease surveillance, diagnosis, health management, and policy implementation. Victor Apeh’s scholarly activities are situated within this evolving field and demonstrate continued participation in research that supports evidence-informed healthcare practices and scientific advancement.[1]

Research Profile

Victor Apeh is affiliated with the Federal University of Allied Health Sciences in Nigeria and maintains an active research profile indexed in the Scopus database. His scholarly record includes twenty-two indexed documents, one hundred sixty citations, and an h-index of eight, reflecting consistent academic productivity and growing research visibility. His investigations primarily address digital health and related healthcare disciplines while promoting interdisciplinary collaboration and knowledge generation across public health and medical research.[1]

Research Contributions

The research contributions of Victor Apeh focus on advancing digital health applications, strengthening healthcare systems through scientific evidence, and supporting the integration of technology into clinical and public health practices. His publications contribute to improved understanding of healthcare innovation, disease management, and health information systems while encouraging interdisciplinary collaboration that addresses contemporary health challenges. These contributions demonstrate a commitment to practical research with relevance to both academic communities and healthcare professionals.[2]

Publications

Victor Apeh has authored and co-authored twenty-two scholarly publications indexed by Scopus across digital health and healthcare-related research topics. His published work reflects sustained engagement in peer-reviewed scientific communication and contributes to the expanding body of knowledge supporting healthcare innovation and evidence-based medical practice. Several publications are associated with internationally recognized journals and include persistent identifiers such as Digital Object Identifiers (DOIs), improving accessibility and long-term citation tracking.[2]

Research Impact

Citation indicators and publication metrics suggest that Victor Apeh’s research has achieved measurable academic recognition within the scientific community. An h-index of eight and one hundred sixty citations indicate that multiple publications have influenced subsequent investigations and contributed to ongoing discussions in digital health and healthcare research. These bibliometric indicators, together with continued publication activity, demonstrate sustained scholarly engagement and growing research visibility within international academic databases.[1]

Award Suitability

Based on publicly available scholarly metrics and research activities, Victor Apeh demonstrates characteristics commonly associated with candidates for the Innovative Research Award. His publication record, citation performance, interdisciplinary research interests, and contributions to digital health align with the objectives of recognizing scientific innovation, research quality, and measurable academic impact. The evaluation remains dependent upon the complete nomination materials and the formal assessment criteria established by the Global Diseases Research Awards.[3]

Conclusion

Victor Apeh has developed a scholarly profile characterized by consistent research productivity, measurable citation performance, and contributions to digital health research. His academic record demonstrates continued engagement in healthcare innovation and scientific collaboration while supporting evidence-based advancements relevant to global health. These achievements illustrate the qualities expected of researchers contributing to impactful scientific progress and provide a strong foundation for consideration within academic recognition programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Victor Apeh, Author ID 57207832202. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57207832202
  2. Global Diseases Research Awards. (2026). Innovative Research Award.
    https://globaldiseases.org/
  3. Apeh, V. O., Adegboyega, A. E., Chukwuma, I. F., Ugwah-Oguejiofor, C. J., Aja, P. M., Ofeimun, J. O., Ale, B. A., Johnson, G. I., Ebenyi, L. N., Iwaloye, O., Ejembi, S. A., Ezugworie, F. N., & Johnson, T. O. (2023). An in silico study of bioactive compounds of Annona muricata in the design of anti-prostate cancer agent: MM/GBSA, pharmacophore modeling and ADMET parameters. Informatics in Medicine Unlocked, 43, 101377.
    https://doi.org/10.1016/j.imu.2023.101377
  4. Apeh, V. O., Asogwa, E., Chukwuma, F. I., Okonkwo, O. F., Nwora, F., & Uke, R. (2022). Chemical analysis and in silico anticancer and anti-inflammatory potentials of bioactive compounds from Moringa oleifera seed oil. Advances in Traditional Medicine, 22(1), 59–74.
    https://doi.org/10.1007/s13596-020-00521-y
  5. Apeh, V. O., Agu, C. V., Ogugua, V. N., Uzoegwu, P. N., Anaduaka, E. G., Rex, T. E., & Agbalu, I. S. (2014). Effect of cooking on proximate, phytochemical constituents and hematological parameters of Tetracarpidium conophorum in male albino rats.European Journal of Medicinal Plants, 4(12), 1388–1399.
    https://doi.org/10.9734/EJMP/2014/11352

Mr. Youssef Poulis | AI in Medical Engineering | Research Excellence Award

Mr. Youssef Poulis | AI in Medical Engineering | Research Excellence Award

German University in Cairo | Egypt

Mr. Youssef Poulis is an emerging researcher affiliated with the German University in Cairo, specializing in AI Engineering, Biomedical Engineering, and Medical Engineering. His work focuses on the integration of machine learning and advanced sensing technologies for healthcare applications, particularly in cancer diagnostics. He has contributed to innovative research, including a hybrid multimodal diagnostic framework combining deep learning-based histopathology analysis with optical sensor technologies, reflecting his interdisciplinary expertise. With growing academic contributions and collaborations with fellow researchers, Mr. Poulis is actively advancing intelligent diagnostic systems aimed at improving accuracy and early detection of diseases. His research demonstrates strong potential for societal impact by supporting more efficient, accessible, and technology-driven healthcare solutions on a global scale.

View Google Scholar Profile
Featured Publication

Abayneh Tanga | Digital Health | Research Excellence Award

Dr. Abayneh Tanga | Digital Health | Research Excellence Award

Arba Minch University | Ethiopia

Dr. Abayneh Tanga is an academic researcher at Arba Minch University, Ethiopia, whose scholarly work contributes to the advancement of applied and interdisciplinary research addressing regionally and globally relevant challenges. According to Scopus records, he has authored two peer-reviewed publications that have collectively received 48 citations, reflecting strong visibility and impact relative to publication volume, with an h-index of 2. His research demonstrates effective collaboration, having worked with multiple national and international co-authors, and highlights a commitment to knowledge dissemination and academic partnership. Dr. Tanga’s work supports evidence-based practice and capacity building within higher education and research ecosystems, contributing to scientific understanding with potential societal relevance, particularly in developing and resource-constrained contexts

Citation Metrics (Scopus)

48
40
30
20
10
0

Citations

48

Documents

2

h-index

2

Citations

Documents

h-index

View Scopus Profile
             View ORCID Profile

Featured Publications

Kabir M. Uddin | Digital Health | Research Excellence Award

Dr. Kabir M. Uddin | Digital Health | Research Excellence Award 

Assistant Professor | North South University | Bangladesh

Dr. Kabir M. Uddin is a dedicated scholar from North South University, Dhaka, Bangladesh, recognized for his growing contributions to interdisciplinary research spanning environmental science, public health, and data-driven policy analysis. With a Scopus record of 38 publications and 381 citations across 269 citing documents, he has established himself as an emerging academic voice committed to generating evidence that informs sustainable development and public welfare. His work reflects strong engagement in collaborative research, as demonstrated by partnerships with over 100 co-authors, underscoring his active role in both national and international scientific networks. Dr. Uddin’s studies often integrate analytical techniques, field-based insights, and cross-sectoral perspectives, enabling him to address complex societal challenges with methodological rigor. His h-index of 12 highlights the sustained impact of his scholarship, while his contributions—spanning peer-reviewed articles, preprints, and interdisciplinary projects—illustrate his commitment to advancing knowledge in areas such as environmental resilience, climate-related risks, and community-centered health outcomes. Beyond academic metrics, his work carries broader societal relevance by supporting data-informed decision-making, strengthening institutional responses to emerging risks, and enhancing the scientific dialogue across diverse disciplines. Through sustained publication activity, extensive collaboration, and a clear focus on issues of global and local significance, Dr. Kabir M. Uddin continues to build a credible academic profile marked by integrity, innovation, and a commitment to research that contributes meaningfully to both scientific understanding and societal development.

Featured Publications

1. Uddin, K., & Hossain, S. (2010). A comparative study on silk dyeing with acid dye and reactive dye. International Journal of Engineering & Technology, 10(6), 1–6.
Cited by: 65

2. Uddin, K. M., Warburton, P. L., & Poirier, R. A. (2012). Comparisons of computational and experimental thermochemical properties of α-amino acids. The Journal of Physical Chemistry B, 116(10), 3220–3234.
Cited by: 46

3. Uddin, M. K., Sardar, M. H., Hossain, M. Z., Alam, M. M., Bhuya, M. F., Uddin, M. M., … (2010). Prevalence of anaemia in children of 6 months to 59 months in Narayanganj, Bangladesh. Journal of Dhaka Medical College, 19(2), 126–130.
Cited by: 46

4. Uddin, K. M., Almatarneh, M. H., Shaw, D. M., & Poirier, R. A. (2011). Mechanistic study of the deamination reaction of guanine: A computational study. The Journal of Physical Chemistry A, 115(10), 2065–2076.
Cited by: 37

5. Akter, N., Bourougaa, L., Ouassaf, M., Bhowmic, R. C., Uddin, K. M., Bhat, A. R., … (2024). Molecular docking, ADME-Tox, DFT and molecular dynamics simulation of butyroyl glucopyranoside derivatives against DNA gyrase inhibitors as antimicrobial agents. Journal of Molecular Structure, 1307, 137930.
Cited by: 35

Dr. Kabir M. Uddin advances scientific innovation through impactful research in computational chemistry, thermodynamics, and material sciences, generating insights that support technological development and sustainable industrial applications. His work strengthens global knowledge systems by bridging theoretical modelling with real-world challenges, enabling progress in energy, environment, and advanced chemical processes.

Lijian Han | Global Health Informatics | Best Researcher Award

Prof. Dr. Lijian Han | Global Health Informatics | Best Researcher Award

Research Professor | Chinese Academy of Sciences | China

Dr. Lijian Han is an internationally recognized research professor whose pioneering work has significantly advanced the understanding of urbanization and its environmental health consequences, particularly in the domain of air pollution as a global disease risk. With a Ph.D. from Tottori University and over a decade of professional experience at the Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, he has developed innovative approaches to quantify, model, and interpret the trade-offs between rapid urban development and environmental quality. His research integrates satellite and ground-based data, near-surface dynamics, and long-term national datasets to construct accurate, multi-scale PM2.5 exposure assessments, leading to novel composite air pollution indices that reveal the dominance of compound pollution risks, particularly from PM2.5 and O₃. Academically, he has published 85 journal papers, including more than 30 as first author, with multiple ESI top 1% highly cited articles in leading outlets such as Bulletin of the World Health Organization, IEEE Geoscience and Remote Sensing Magazine, and Earth’s Future. His scientific contributions include developing global-to-local PM2.5 assessment frameworks, quantifying anthropogenic versus meteorological drivers of pollution, identifying the mismatch between urban vegetation purification capacity and peak pollution periods, and establishing policy-relevant PM2.5 thresholds that have been directly adopted by Shenzhen’s Environmental Protection Bureau in its Sustainable Development Blueprint (2020–2035). His work is highly cited, with over 5,000 citations and an H-index of 33, reflecting both academic excellence and global relevance. Beyond academia, Dr. Han’s research has shaped national and international discourse, being highlighted in Science and Technology Daily, Xinhua Digest, and Yale Environment 360, and earning recognition from the U.S. Department of State through diplomatic exchange invitations. By bridging cutting-edge scientific discovery with actionable policy and global health frameworks, his research exemplifies the interdisciplinary, high-impact scholarship celebrated by the Global Diseases Research Awards, making him a strong candidate for the Best Researcher Award.

Profile: Google Scholar | Scopus

Featured Publications

1. Han, L., Zhou, W., Li, W., & Li, L. (2014). Impact of urbanization level on urban air quality: A case of fine particles (PM₂.₅) in Chinese cities. Environmental Pollution, 194, 163–170. https://doi.org/10.1016/j.envpol.2014.07.022

2. Qian, Y., Zhou, W., Yan, J., Li, W., & Han, L. (2014). Comparing machine learning classifiers for object-based land cover classification using very high resolution imagery. Remote Sensing, 7(1), 153–168. https://doi.org/10.3390/rs70100153

3. Zhou, W., Qian, Y., Li, X., Li, W., & Han, L. (2014). Relationships between land cover and the surface urban heat island: Seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperature. Landscape Ecology, 29(1), 153–167. https://doi.org/10.1007/s10980-013-9950-5

4. Zhang, X., Han, L., Wei, H., Tan, X., Zhou, W., Li, W., & Qian, Y. (2022). Linking urbanization and air quality together: A review and a perspective on the future sustainable urban development. Journal of Cleaner Production, 346, 130988. https://doi.org/10.1016/j.jclepro.2022.130988

5. Han, L., Zhou, W., & Li, W. (2015). City as a major source area of fine particulate (PM₂.₅) in China. Environmental Pollution, 206, 183–187. https://doi.org/10.1016/j.envpol.2015.06.002