M. Kathmann
Impact in
- Pharmacology top 0.5%
- Cannabis and Cannabinoid Research
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies
Papers in
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- Receptor Mechanisms and Signaling 20
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- Neuroscience and Neuropharmacology Research 13
- Neurotransmitter Receptor Influence on Behavior 9
- Co-authors
- Eberhard Schlicker (39 shared papers)Manfred Göthert (8 shared papers)U. Bauer (7 shared papers)Barbara Malinowska (3 shared papers)Christian Tränkle (1 shared paper)Walter Schunack (7 shared papers)Holger Stark (6 shared papers)M. Detzner (4 shared papers)
In The Last Decade
M. Kathmann
43 papers receiving 2.3k citations
M. Kathmann's Hit Papers
Peers
Comparison fields: 5 of 77
- Pharmacology 1.1k
- Sensory Systems 293
- Cellular and Molecular Neuroscience 1.1k
- Endocrine and Autonomic Systems 226
- Immunology 655
Countries citing papers authored by M. Kathmann
This map shows the geographic impact of M. Kathmann'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 M. Kathmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kathmann more than expected).
Fields of papers citing papers by M. Kathmann
This network shows the impact of papers produced by M. Kathmann. 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 M. Kathmann. The network helps show where M. Kathmann may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Kathmann, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modulation of transmitter release via presynaptic cannabinoid receptors Hit paper breakdown → | 2001 | 557 |
| 2 | 2006 | 299 | |
| 3 | 1994 | 238 | |
| 4 | 2000 | 167 | |
| 5 | 1996 | 83 | |
| 6 | 1999 | 78 | |
| 7 | 1998 | 73 | |
| 8 | 1993 | 62 | |
| 9 | 2004 | 59 | |
| 10 | 1994 | 55 | |
| 11 | 1996 | 53 | |
| 12 | 1994 | 49 | |
| 13 | 1996 | 49 | |
| 14 | 1994 | 48 | |
| 15 | 2016 | 47 | |
| 16 | 2001 | 45 | |
| 17 | 2001 | 40 | |
| 18 | 1999 | 35 | |
| 19 | 1998 | 29 | |
| 20 | 1999 | 27 |
About M. Kathmann
M. Kathmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Pharmacology and Physiology, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Mast cells and histamine (17 papers), Neuroscience and Neuropharmacology Research (13 papers), Cannabis and Cannabinoid Research (12 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Olfactory and Sensory Function Studies (7 papers), Neuroendocrine regulation and behavior (5 papers) and Asthma and respiratory diseases (5 papers). The work is most often cited by research in Pharmacology (1.1k citations), Sensory Systems (293 citations), Cellular and Molecular Neuroscience (1.1k citations), Endocrine and Autonomic Systems (226 citations) and Immunology (655 citations). M. Kathmann has collaborated with scholars based in Germany, Poland and France. Frequent co-authors include Eberhard Schlicker, Manfred Göthert, U. Bauer, Barbara Malinowska, Christian Tränkle, Walter Schunack, Holger Stark, M. Detzner, Bernd Weber and Anne Héron. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, British Journal of Pharmacology, European Journal of Neuroscience, Inflammation Research and Handbook of experimental pharmacology.
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.