Joy Kahn
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Hepatology top 5%
- Liver physiology and pathology
Papers in
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- Lipid Membrane Structure and Behavior 3
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- Neuroscience and Neuropharmacology Research 5
- Nuclear Receptors and Signaling 4
- Co-authors
- Tsvee Lapidot (7 shared papers)Arnon Nagler (5 shared papers)Adrian Israelson (9 shared papers)Izhar Hardan (4 shared papers)Shoham Shivtiel (4 shared papers)Sarit Samira (4 shared papers)Órit Kollet (4 shared papers)Ayelet Dar (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Blood (2 papers)Journal of Neuroscience (2 papers)Journal of Clinical Investigation (2 papers)Experimental Neurology (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Joy Kahn
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Genetics 359
- Hepatology 213
- Hematology 269
- Immunology 368
- Cellular and Molecular Neuroscience 279
Countries citing papers authored by Joy Kahn
This map shows the geographic impact of Joy 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 Joy Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Kahn more than expected).
Fields of papers citing papers by Joy Kahn
This network shows the impact of papers produced by Joy 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 Joy Kahn. The network helps show where Joy Kahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 495 | |
| 2 | 2003 | 193 | |
| 3 | 2009 | 191 | |
| 4 | 2002 | 132 | |
| 5 | 2019 | 74 | |
| 6 | 2012 | 67 | |
| 7 | 2017 | 67 | |
| 8 | 2018 | 55 | |
| 9 | 2006 | 51 | |
| 10 | 2009 | 47 | |
| 11 | 2003 | 43 | |
| 12 | 2011 | 42 | |
| 13 | 2016 | 36 | |
| 14 | 2019 | 33 | |
| 15 | 2021 | 33 | |
| 16 | 2011 | 32 | |
| 17 | 2011 | 31 | |
| 18 | 2012 | 31 | |
| 19 | 2012 | 30 | |
| 20 | 2015 | 26 |
About Joy Kahn
Joy Kahn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Immunology and Oncology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Macrophage Migration Inhibitory Factor (5 papers), Nuclear Receptors and Signaling (4 papers), Trace Elements in Health (4 papers), Cellular transport and secretion (4 papers), Chemokine receptors and signaling (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Genetics (359 citations), Hepatology (213 citations), Hematology (269 citations), Immunology (368 citations) and Cellular and Molecular Neuroscience (279 citations). Joy Kahn has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Tsvee Lapidot, Arnon Nagler, Adrian Israelson, Izhar Hardan, Shoham Shivtiel, Sarit Samira, Órit Kollet, Ayelet Dar, Daniel Gitler and Polina Goichberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Journal of Neuroscience, Journal of Clinical Investigation and Experimental Neurology.
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.