Kersten M. Small
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Co-authors
- Stephen B. LiggettS. Steven PotterSharon L. R. KardiaKari M. BrownSusan L. ForbesLynne E. WagonerAlbert M. LevinDennis W. McGraw
- Topics
- Receptor Mechanisms and Signaling (22 papers)Adipose Tissue and Metabolism (8 papers)Neuropeptides and Animal Physiology (7 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Kersten M. Small
39 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.9k
- Cardiology and Cardiovascular Medicine 667
- Genetics 586
- Cellular and Molecular Neuroscience 415
- Physiology 378
Countries citing papers authored by Kersten M. Small
This map shows the geographic impact of Kersten M. Small'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 Kersten M. Small with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kersten M. Small more than expected).
Fields of papers citing papers by Kersten M. Small
This network shows the impact of papers produced by Kersten M. Small. 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 Kersten M. Small. The network helps show where Kersten M. Small may publish in the future.
Co-authorship network of co-authors of Kersten M. Small
This figure shows the co-authorship network connecting the top 25 collaborators of Kersten M. Small. A scholar is included among the top collaborators of Kersten M. Small 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 Kersten M. Small. Kersten M. Small is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 27 | |
| 3 | 36 | |
| 4 | 14 | |
| 5 | 72 | |
| 6 | 44 | |
| 7 | 20 | |
| 8 | 16 | |
| 9 | 36 | |
| 10 | 121 | |
| 11 | 40 | |
| 12 | 153 | |
| 13 | 56 | |
| 14 | 25 | |
| 15 | 86 | |
| 16 | 144 | |
| 17 | 22 | |
| 18 | 93 | |
| 19 | 16 | |
| 20 | 106 |
About Kersten M. Small
Kersten M. Small is a scholar working on Animal Science and Zoology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 3.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (22 papers), Adipose Tissue and Metabolism (8 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (667 citations), Molecular Biology (1.9k citations) and Behavioral Neuroscience (99 citations). Kersten M. Small has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Stephen B. Liggett, S. Steven Potter, Sharon L. R. Kardia, Kari M. Brown, Susan L. Forbes, Lynne E. Wagoner, Albert M. Levin, Dennis W. McGraw, Stephen T. Warren and Hung Li. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.