Kenneth Coker
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Physiology top 5%
- Adipose Tissue and Metabolism
- Erythrocyte Function and Pathophysiology
- Calcium signaling and nucleotide metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- Surgery 5
- Pancreatic function and diabetes 5
- Co-authors
- Jeffrey E. Pessin (6 shared papers)Jeffrey S. Elmendorf (3 shared papers)Shuichi Okada (3 shared papers)Debbie C. Thurmond (3 shared papers)Brian P. Ceresa (2 shared papers)Chunmei Yang (3 shared papers)James V. Staros (3 shared papers)Cheryl A. Guyer (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Computers in Biology and Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)European Journal of Biochemistry (1 paper)IEEE Journal of Quantum Electronics (1 paper)
- Partner nations
- United StatesChinaGhana
In The Last Decade
Kenneth Coker
17 papers receiving 976 citations
Peers
Comparison fields: 5 of 96
- Cell Biology 450
- Physiology 63
- Molecular Biology 718
- Surgery 359
- Physiology 209
Countries citing papers authored by Kenneth Coker
This map shows the geographic impact of Kenneth Coker'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 Kenneth Coker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Coker more than expected).
Fields of papers citing papers by Kenneth Coker
This network shows the impact of papers produced by Kenneth Coker. 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 Kenneth Coker. The network helps show where Kenneth Coker may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Coker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 342 | |
| 2 | 1998 | 206 | |
| 3 | 1999 | 161 | |
| 4 | 2001 | 95 | |
| 5 | 2001 | 75 | |
| 6 | 1994 | 49 | |
| 7 | 2003 | 17 | |
| 8 | 2001 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 1994 | 9 | |
| 11 | 1998 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2019 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 |
About Kenneth Coker
Kenneth Coker is a scholar working on Molecular Biology, Surgery, Cell Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 998 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Cellular transport and secretion (5 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Strong Light-Matter Interactions (2 papers), Perovskite Materials and Applications (2 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Cell Biology (450 citations), Physiology (63 citations), Molecular Biology (718 citations), Surgery (359 citations) and Physiology (209 citations). Kenneth Coker has collaborated with scholars based in United States, China and Ghana. Frequent co-authors include Jeffrey E. Pessin, Jeffrey S. Elmendorf, Shuichi Okada, Debbie C. Thurmond, Brian P. Ceresa, Chunmei Yang, James V. Staros, Cheryl A. Guyer, Sílvia Mora and Alan R. Saltiel. Their work appears in journals such as Journal of Biological Chemistry, Computers in Biology and Medicine, Proceedings of the National Academy of Sciences, European Journal of Biochemistry and IEEE Journal of Quantum Electronics.
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.