Dan Lehmann
Impact in
-
- Multiple Sclerosis Research Studies
- Immunology top 10%
- T-cell and B-cell Immunology
Papers in
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- Multiple Sclerosis Research Studies 17
- Co-authors
- Avraham Ben‐Nun (10 shared papers)Oded Abramsky (13 shared papers)Dimitrios M. Karussis (10 shared papers)Rachel Mizrachi-Koll (11 shared papers)Shimon Slavin (7 shared papers)Haim Ovadia (9 shared papers)Urania Vourka-Karussis (6 shared papers)Terje Kalland (4 shared papers)
- Journals
- Journal of Neuroimmunology (8 papers)Journal of Autoimmunity (2 papers)The Journal of Immunology (2 papers)Veterinary Microbiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- IsraelSwitzerlandGermany
In The Last Decade
Dan Lehmann
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 57
- Pathology and Forensic Medicine 474
- Immunology 120
- Hematology 70
- Gastroenterology 28
- Pharmacology 53
Countries citing papers authored by Dan Lehmann
This map shows the geographic impact of Dan Lehmann'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 Dan Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lehmann more than expected).
Fields of papers citing papers by Dan Lehmann
This network shows the impact of papers produced by Dan Lehmann. 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 Dan Lehmann. The network helps show where Dan Lehmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lehmann, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 182 | |
| 2 | 1993 | 100 | |
| 3 | 1993 | 100 | |
| 4 | 1996 | 97 | |
| 5 | 1992 | 86 | |
| 6 | 1993 | 82 | |
| 7 | 2003 | 78 | |
| 8 | 2003 | 64 | |
| 9 | 2003 | 57 | |
| 10 | 1992 | 54 | |
| 11 | 1992 | 50 | |
| 12 | 1994 | 45 | |
| 13 | 1994 | 37 | |
| 14 | 1995 | 36 | |
| 15 | 1993 | 34 | |
| 16 | 1997 | 33 | |
| 17 | 1985 | 32 | |
| 18 | 2010 | 31 | |
| 19 | 1988 | 27 | |
| 20 | 1997 | 15 |
About Dan Lehmann
Dan Lehmann is a scholar working on Pathology and Forensic Medicine, Pharmacology, Behavioral Neuroscience, Gastroenterology and Animal Science and Zoology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (17 papers), Testicular diseases and treatments (2 papers), Immunotherapy and Immune Responses (1 paper), Schizophrenia research and treatment (1 paper), Animal Virus Infections Studies (1 paper), Systemic Lupus Erythematosus Research (1 paper), Genomics and Chromatin Dynamics (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (474 citations), Immunology (120 citations), Hematology (70 citations), Gastroenterology (28 citations) and Pharmacology (53 citations). Dan Lehmann has collaborated with scholars based in Israel, Switzerland and Germany. Frequent co-authors include Avraham Ben‐Nun, Oded Abramsky, Dimitrios M. Karussis, Rachel Mizrachi-Koll, Shimon Slavin, Haim Ovadia, Urania Vourka-Karussis, Terje Kalland, Jef C.M. Raus and Marie‐Anne Bach. Their work appears in journals such as Journal of Neuroimmunology, Journal of Autoimmunity, The Journal of Immunology, Veterinary Microbiology 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.