Max Meyrath

895 citations
22 papers · 585 · h-index 14

Impact in

  • Oncology top 10%
    • Chemokine receptors and signaling
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Chemokine receptors and signaling 12
    • Pancreatic and Hepatic Oncology Research 1
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 6

Max Meyrath

22 papers receiving 584 citations

Peers

Max Meyrath
Comparison fields: 5 of 67
  • Oncology 306
  • Immunology 213
  • Toxicology 25
  • Hepatology 42
  • Cellular and Molecular Neuroscience 97
Replace Hany Abdel-Hafiz with:
Hany Abdel-Hafiz United States
Gregory Deno United States
Julie Sanchez Australia
Carol S. Ryan United States
Sylvie Prigent France
Edmond M. Linossi Australia
Ludovicus Staelens Belgium
Dominiek Catteeuw Belgium
M. Bruley-Rosset France
Etienne Antoine France
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Citations per field
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Citations per year

Countries citing papers authored by Max Meyrath

Since Specialization
Citations

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

Fields of papers citing papers by Max Meyrath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Max Meyrath, 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 Max Meyrath Line = papers co-authored together Max Meyrath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201987
2 202083
3 201950
4 201750
5 201646
6 201435
7 202133
8 201828
9 202127
10 202027
11 202125
12 202023
13 202023
14 202213
15 202213
16 20186
17 20226
18 20224
19 20193
20 20251

About Max Meyrath

Max Meyrath is a scholar working on Oncology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 22 papers that have together received 585 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (12 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (6 papers), Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Hepatitis C virus research (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (306 citations), Immunology (213 citations), Toxicology (25 citations), Hepatology (42 citations) and Cellular and Molecular Neuroscience (97 citations). Max Meyrath has collaborated with scholars based in Luxembourg, Belgium and Germany. Frequent co-authors include Andy Chevigné, Martyna Szpakowska, Markus Ollert, Elin Sjöberg, Tomasz Uchański, Martin Augsten, Arne Östman, Evi Kostenis, Julien Hanson and Oliver Frings. Their work appears in journals such as Frontiers in Immunology, Methods in enzymology on CD-ROM/Methods in enzymology, ACS Pharmacology & Translational Science, Nature Communications and Clinical Cancer Research.

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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