Terkuma Chia
- Biomedical Engineering
- Surgery
- Public Health, Environmental and Occupational Health
- General Dentistry top 5%
- Modeling and Simulation top 10%
- Co-authors
- Oluwatosin OyeniranAbayomi Oyeyemi Ajagbe͓Steven Kator IorfaTosin Yinka AkintundeGodson Emeka AnyanwuŞenol DaneShaojun Chen
- Topics
- COVID-19 epidemiological studies (8 papers)Anatomy and Medical Technology (7 papers)Viral Infections and Outbreaks Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnatomical Sciences EducationAsian Pacific Journal of Tropical Medicine
- Partner nations
- NigeriaChinaUnited Kingdom
In The Last Decade
Terkuma Chia
28 papers receiving 268 citations
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 123
- Surgery 92
- Public Health, Environmental and Occupational Health 82
- General Dentistry 37
- Modeling and Simulation 36
Countries citing papers authored by Terkuma Chia
This map shows the geographic impact of Terkuma Chia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Terkuma Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terkuma Chia more than expected).
Fields of papers citing papers by Terkuma Chia
This network shows the impact of papers produced by Terkuma Chia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Terkuma Chia. The network helps show where Terkuma Chia may publish in the future.
Co-authorship network of co-authors of Terkuma Chia
This figure shows the co-authorship network connecting the top 25 collaborators of Terkuma Chia. A scholar is included among the top collaborators of Terkuma Chia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Terkuma Chia. Terkuma Chia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | Study of Stressors in a Cohort of Undergraduate Medical Students: Implications for Student Support | 0 |
| 6 | Patients Experiences in Accessing National Health Insurance Services in Nigeria | 1 |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 22 | |
| 14 | 4 | |
| 15 | 31 | |
| 16 | 19 | |
| 17 | 54 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 17 |
About Terkuma Chia
Terkuma Chia is a scholar working on Modeling and Simulation, Health Informatics and Anatomy, having authored 30 papers that have together received 272 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Anatomy and Medical Technology (7 papers) and Viral Infections and Outbreaks Research (5 papers). The work is most often cited by research in General Dentistry (37 citations), Health Informatics (12 citations) and Modeling and Simulation (36 citations). Terkuma Chia has collaborated with scholars based in Nigeria, China and United Kingdom. Frequent co-authors include Oluwatosin Oyeniran, Abayomi Oyeyemi Ajagbe͓, Steven Kator Iorfa, Tosin Yinka Akintunde, Godson Emeka Anyanwu, Şenol Dane and Shaojun Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Anatomical Sciences Education and Asian Pacific Journal of Tropical Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.