Richard Kahn
Impact in
- Cell Biology top 0.02%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 0.05%
- Calcium signaling and nucleotide metabolism
Papers in
- Physiology 33
- Calcium signaling and nucleotide metabolism 31
- Cell Biology 113
- Cellular transport and secretion 93
- Endoplasmic Reticulum Stress and Disease 29
- Co-authors
- John B. BuseAlfred G. GilmanEle FerranniniMichael SternPaul A. RandazzoRose Marie RobertsonR. FourmeScott M. Grundy
- Journals
- Journal of Biological Chemistry (49 papers)Diabetes Care (22 papers)Molecular Biology of the Cell (15 papers)Journal of Synchrotron Radiation (11 papers)Proceedings of the National Academy of Sciences (11 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Richard Kahn
386 papers receiving 26.7k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Cell Biology 7.7k
- Physiology 2.1k
- Endocrinology, Diabetes and Metabolism 4.4k
- Molecular Biology 13.6k
- Endocrinology 866
Countries citing papers authored by Richard Kahn
This map shows the geographic impact of Richard Kahn'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 Richard Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Kahn more than expected).
Fields of papers citing papers by Richard Kahn
This network shows the impact of papers produced by Richard Kahn. 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 Richard Kahn. The network helps show where Richard Kahn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard Kahn, 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 | 2024 | 7 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 22 | |
| 4 | 2018 | 27 | |
| 5 | 2014 | 28 | |
| 6 | 2013 | 52 | |
| 7 | 2012 | 7 | |
| 8 | 2012 | 49 | |
| 9 | 2007 | 47 | |
| 10 | 2005 | 12 | |
| 11 | 2004 | 232 | |
| 12 | 2003 | 71 | |
| 13 | 2002 | 450 | |
| 14 | 2002 | 34 | |
| 15 | 2000 | 1 | |
| 16 | 2000 | 10 | |
| 17 | 1999 | 7 | |
| 18 | 1999 | 28 | |
| 19 | 1998 | 45 | |
| 20 | 1995 | 13 |
About Richard Kahn
Richard Kahn is a scholar working on Physiology, Cell Biology, Molecular Biology, Radiation and Endocrinology, Diabetes and Metabolism, having authored 391 papers that have together received 27.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (93 papers), Enzyme Structure and Function (73 papers), Protein Structure and Dynamics (40 papers), Calcium signaling and nucleotide metabolism (31 papers), Endoplasmic Reticulum Stress and Disease (29 papers), Lipid Membrane Structure and Behavior (27 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers) and Diabetes Management and Research (18 papers). The work is most often cited by research in Cell Biology (7.7k citations), Physiology (2.1k citations), Endocrinology, Diabetes and Metabolism (4.4k citations), Molecular Biology (13.6k citations) and Endocrinology (866 citations). Richard Kahn has collaborated with scholars based in United States, France and Germany. Frequent co-authors include John B. Buse, Alfred G. Gilman, Ele Ferrannini, Michael Stern, Paul A. Randazzo, Rose Marie Robertson, R. Fourme, Scott M. Grundy, Xinjun Zhu and Julie G. Donaldson. Their work appears in journals such as Journal of Biological Chemistry, Diabetes Care, Molecular Biology of the Cell, Journal of Synchrotron Radiation and Proceedings of the National Academy of Sciences.
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.