Martin Beinborn
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Co-authors
- Alan S. KopinEdward W. McBrideLee F. KolakowskiMing LuLaurence J. MillerHerbert Y. LinYong RenJean‐Philippe Fortin
- Topics
- Neuropeptides and Animal Physiology (44 papers)Receptor Mechanisms and Signaling (34 papers)Diabetes Treatment and Management (18 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Martin Beinborn
68 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 1.3k
- Surgery 796
- Endocrinology, Diabetes and Metabolism 474
- Oncology 322
Countries citing papers authored by Martin Beinborn
This map shows the geographic impact of Martin Beinborn'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 Martin Beinborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Beinborn more than expected).
Fields of papers citing papers by Martin Beinborn
This network shows the impact of papers produced by Martin Beinborn. 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 Martin Beinborn. The network helps show where Martin Beinborn may publish in the future.
Co-authorship network of co-authors of Martin Beinborn
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Beinborn. A scholar is included among the top collaborators of Martin Beinborn 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 Martin Beinborn. Martin Beinborn 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 | 11 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 37 | |
| 6 | 19 | |
| 7 | 46 | |
| 8 | 2 | |
| 9 | 70 | |
| 10 | 29 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 79 | |
| 14 | 77 | |
| 15 | 4 | |
| 16 | 13 | |
| 17 | 184 | |
| 18 | 20 | |
| 19 | 11 | |
| 20 | 29 |
About Martin Beinborn
Martin Beinborn is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (34 papers) and Diabetes Treatment and Management (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Endocrine and Autonomic Systems (313 citations) and Endocrinology, Diabetes and Metabolism (474 citations). Martin Beinborn has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Alan S. Kopin, Edward W. McBride, Lee F. Kolakowski, Ming Lu, Laurence J. Miller, Herbert Y. Lin, Yong Ren, Jean‐Philippe Fortin, Chun‐I Chen and Youngmee Lee. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.