Kwame Osei
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Epidemiology top 5%
- Molecular Biology
- Genetics top 5%
- Co-authors
- Trudy GaillardDara P. SchusterDara SchusterRonald M. FergusonMitchell L. HenryJames M. FalkoFernando G. CosioTodd E. Pesavento
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (34 papers)Diabetes Management and Research (27 papers)Metabolism, Diabetes, and Cancer (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicinePLoS ONE
- Partner nations
- United StatesGreeceGhana
In The Last Decade
Kwame Osei
105 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 116
- Endocrinology, Diabetes and Metabolism 1.6k
- Surgery 750
- Epidemiology 632
- Molecular Biology 496
- Genetics 494
Countries citing papers authored by Kwame Osei
This map shows the geographic impact of Kwame Osei'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 Kwame Osei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwame Osei more than expected).
Fields of papers citing papers by Kwame Osei
This network shows the impact of papers produced by Kwame Osei. 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 Kwame Osei. The network helps show where Kwame Osei may publish in the future.
Co-authorship network of co-authors of Kwame Osei
This figure shows the co-authorship network connecting the top 25 collaborators of Kwame Osei. A scholar is included among the top collaborators of Kwame Osei 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 Kwame Osei. Kwame Osei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 13 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 13 | |
| 7 | 32 | |
| 8 | 125 | |
| 9 | 44 | |
| 10 | 18 | |
| 11 | 39 | |
| 12 | 40 | |
| 13 | 7 | |
| 14 | Pathogenic mechanism of type 2 diabetes in Ghanaians--the importance of beta cell secretion, insulin sensitivity and glucose effectiveness. | 22 |
| 15 | 327 | |
| 16 | 17 | |
| 17 | 75 | |
| 18 | 22 | |
| 19 | 0 | |
| 20 | 19 |
About Kwame Osei
Kwame Osei is a scholar working on Endocrinology, Diabetes and Metabolism, Transplantation and Genetics, having authored 108 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (34 papers), Diabetes Management and Research (27 papers) and Metabolism, Diabetes, and Cancer (20 papers). The work is most often cited by research in Transplantation (306 citations), Endocrinology, Diabetes and Metabolism (1.6k citations) and Epidemiology (632 citations). Kwame Osei has collaborated with scholars based in United States, Greece and Ghana. Frequent co-authors include Trudy Gaillard, Dara P. Schuster, Dara Schuster, Ronald M. Ferguson, Mitchell L. Henry, James M. Falko, Fernando G. Cosio, Todd E. Pesavento, Thomas M. O’Dorisio and Kathleen Dungan. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.
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.