Jeffrey D. Carter
- Molecular Biology top 10%
- Surgery top 5%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Co-authors
- Craig S. NunemakerRunpei WuNebojša JanjićJerry L. NadlerKathryn L. CorbinJohn C. RohloffZandong YangChi Zhang
- Topics
- Diabetes and associated disorders (10 papers)Pancreatic function and diabetes (10 papers)Advanced biosensing and bioanalysis techniques (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesJapanGermany
In The Last Decade
Jeffrey D. Carter
36 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 975
- Surgery 581
- Genetics 395
- Endocrinology, Diabetes and Metabolism 320
- Epidemiology 187
Countries citing papers authored by Jeffrey D. Carter
This map shows the geographic impact of Jeffrey D. Carter'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 Jeffrey D. Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Carter more than expected).
Fields of papers citing papers by Jeffrey D. Carter
This network shows the impact of papers produced by Jeffrey D. Carter. 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 Jeffrey D. Carter. The network helps show where Jeffrey D. Carter may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Carter
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Carter. A scholar is included among the top collaborators of Jeffrey D. Carter 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 Jeffrey D. Carter. Jeffrey D. Carter 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 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 129 | |
| 6 | 165 | |
| 7 | 13 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 20 | |
| 11 | 125 | |
| 12 | 84 | |
| 13 | 17 | |
| 14 | 75 | |
| 15 | 115 | |
| 16 | 61 | |
| 17 | 45 | |
| 18 | 44 | |
| 19 | 29 | |
| 20 | 54 |
About Jeffrey D. Carter
Jeffrey D. Carter is a scholar working on Family Practice, Genetics and Transplantation, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), Pancreatic function and diabetes (10 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Structural Biology (33 citations), Endocrinology, Diabetes and Metabolism (320 citations) and Molecular Biology (975 citations). Jeffrey D. Carter has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Craig S. Nunemaker, Runpei Wu, Nebojša Janjić, Jerry L. Nadler, Kathryn L. Corbin, John C. Rohloff, Zandong Yang, Chi Zhang, Daniel J. Schneider and Bharat Gawande. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.