Markus Kathmann

2.7k citations
42 papers · 2.4k · h-index 23

Impact in

Papers in

Markus Kathmann

42 papers receiving 2.2k citations

Peers

Markus Kathmann
Comparison fields: 5 of 73
  • Pharmacology 1.1k
  • Cellular and Molecular Neuroscience 564
  • Immunology 476
  • Endocrine and Autonomic Systems 45
  • Molecular Biology 434
Replace Agnès Rouleau with:
Agnès Rouleau France
Rivka Levy Israel
Joanne R. Mathiasen United States
I.J.M. Beresford United Kingdom
Alan Wheeldon United Kingdom
Yvonne Y. Lai United States
Jia Bao Pan United States
Arthur L. Nikkel United States
Barbara L. Roland United States
Florence Gbahou France
Markus Kathmann relative to Agnès Rouleau France Agnès Rouleau's profile →
Citations per field
00.5×5×10×14.7×
Agnès Rouleau · 1×
Citations per year

Countries citing papers authored by Markus Kathmann

Since Specialization
Citations

This map shows the geographic impact of Markus 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 Markus Kathmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kathmann more than expected).

Fields of papers citing papers by Markus Kathmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus 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 Markus Kathmann. The network helps show where Markus Kathmann may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Kathmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Kathmann Line = papers co-authored together Markus Kathmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001562
2 2006316
3 1994239
4 2000167
5 199681
6 199979
7 199875
8 199363
9 200459
10 199454
11 201653
12 199651
13 199449
14 199647
15 199445
16 200144
17 200140
18 199935
19 199929
20 199828

About Markus Kathmann

Markus Kathmann is a scholar working on Cellular and Molecular Neuroscience, Immunology, Pharmacology, Molecular Biology and Developmental Neuroscience, having authored 42 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mast cells and histamine (17 papers), Receptor Mechanisms and Signaling (16 papers), Cannabis and Cannabinoid Research (13 papers), Neuroscience and Neuropharmacology Research (13 papers), Neuropeptides and Animal Physiology (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Pharmacology (1.1k citations), Cellular and Molecular Neuroscience (564 citations), Immunology (476 citations), Endocrine and Autonomic Systems (45 citations) and Molecular Biology (434 citations). Markus Kathmann has collaborated with scholars based in Germany, Poland and Netherlands. Frequent co-authors include Eberhard Schlicker, Manfred Göthert, Ulrich Stefan Bauer, Karsten Flau, Christian Tränkle, Barbara Malinowska, Walter G. Schunack, Holger Stark, Michael Detzner and Bernd Weber. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, British Journal of Pharmacology, Handbook of experimental pharmacology, Inflammation Research and 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.

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