Prof. Dr. Dachel Martínez Asanza | Medicine | Best Researcher Award

Published on by Computer Scientists Awards

Prof. Dr. Dachel Martínez Asanza | Medicine | Best Researcher Award

Professor/ Senior Researcher | University of Medical Sciences of Havana | Cuba

Prof. Dr. Dachel Martínez Asanza is a distinguished Cuban scholar and senior researcher in the field of dental sciences and medical education, recognized for her interdisciplinary expertise in comprehensive dentistry, health promotion, epidemiology, and pedagogical innovation in medical education. Her academic pursuits bridge clinical dentistry with public health, emphasizing preventive oral care, biopsychosocial health management, and the integration of digital and natural medicine within community health frameworks. A full professor at the University of Medical Sciences of Havana, Dr. Asanza has made substantial contributions to advancing dental education through work-based learning methodologies and curriculum development in health sciences. Her research explores the intersection of technology, digital health, and education, reflecting a deep commitment to enhancing healthcare delivery and educational practices in dentistry. With a Scopus record of 26 indexed publications, over 143 citations from 107 documents, and an h-index of 7, alongside Google Scholar metrics of 371 total citations, an h-index of 11, and an i10-index of 12, Dr. Asanza’s scholarly impact is widely recognized. Her works are featured in reputed international journals, often addressing themes such as digital health adoption, green innovation, and AI applications in healthcare.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

  • Golmankhaneh, A. K., Tunç, S., Schlichtinger, A. M., & Martínez Asanza, D. (2024). Modeling tumor growth using fractal calculus: Insights into tumor dynamics. Biosystems, 235, 105071.

  • Kamel Mouloudj, A. B., Bouarar, A. C., Martínez Asanza, D., & Linda, M. (2023). Factors influencing the adoption of digital health apps: An extended technology acceptance model (TAM). Integrating Digital Health Strategies for Effective Administration, 116–132.

  • Martínez Asanza, D. (2018). Traditional teaching in the 21st century? Neuronum Magazine, 4(1), 99–106.

  • Martínez-Asanza, D. (2021). Regarding work-based learning, a guiding principle of Cuban medical education. FEM: Journal of the Medical Education Foundation, 24(6), 325–325.

  • Njoku, A., Mouloudj, K., Bouarar, A. C., Evans, M. A., & Martínez Asanza, D. (2024). Intentions to create green start-ups for collection of unwanted drugs: An empirical study. Sustainability, 16(7), 2797.

Prof. Wei Wu | Medicine | Best Researcher Award

Published on by Computer Scientists Awards

Prof. Wei Wu | Medicine | Best Researcher Award

Prof. Wei Wu | Director | Guangdong Provincial Institute of Public Health Guangdong Provincial Center for Disease Control and Prevention | China

Dr. Wei Wu is a distinguished public health scientist specializing in labor and environmental hygiene, microbial epidemiology, and health data analytics. His research primarily explores the intersection of gut microbiota, metabolic diseases, and public health, employing advanced population cohort and multi-omics data analysis to uncover novel biomarkers and disease risk genes. Dr. Wu’s studies contribute significantly to understanding nutrient–gut flora–host interactions, guiding innovative therapeutic targets for metabolic and infectious diseases. He has also made substantial contributions to vaccine health economics and hygiene assessment in rail transit systems. As a postgraduate supervisor and active member of multiple national scientific committees, Dr. Wu plays a vital role in shaping public health policy and research in China. His impactful scientific output has earned recognition in leading journals, including Nature Medicine and Microbiome. According to Scopus, he has published 35 documents with over 1,577 citations, an h-index of 13, and his work is widely cited across 1,498 documents. On Google Scholar, his publications have similarly received extensive academic engagement, underscoring his global research influence in environmental and preventive health sciences.

Publication Profile

Scopus | ORCID

Featured Publications

He, Y., Wu, W., Zheng, H. M., Li, P., McDonald, D., Sheng, H. F., et al. (2018). Regional variation limits applications of healthy gut microbiome reference ranges and disease models. Nature Medicine, 24(10), 1532–1535.

He, Y., Wu, W., Wu, S., Zheng, H. M., Li, P., Sheng, H. F., et al. (2018). Linking gut microbiota, metabolic syndrome and economic status based on a population-level analysis. Microbiome, 6(1), 172.

Guo, X., Yan, M., Huang, D., Chen, S., Zhang, D., Li, Z., Yang, X., & Wu, W. (2023). A large scale 16S ribosomal RNA gene amplicon dataset of hand, foot and mouth patients and healthy individuals. Scientific Data, 10(48), 1–6.

Yan, M., Guo, X., Ji, G., Huang, R., Huang, D., Li, Z., Zhang, D., Chen, S., Cao, R., Yang, X., & Wu, W. (2023). Mechanism-based role of the intestinal microbiota in gestational diabetes mellitus: A systematic review and meta-analysis. Frontiers in Immunology, 13(3), 1–13.

Wang, H., Luo, L., & Wu, W. (2023). SAS statistical analysis and applications from introduction to mastery (2nd ed.). Posts & Telecom Press.