Martin Eichmann

1.0k citations
17 papers · 634 · h-index 12

Impact in

  • Genetics top 5%
    • Diabetes and associated disorders
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Diabetes and associated disorders 13
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 5

Martin Eichmann

17 papers receiving 627 citations

Peers

Martin Eichmann
Comparison fields: 5 of 56
  • Genetics 366
  • Immunology 249
  • Endocrinology, Diabetes and Metabolism 170
  • Surgery 234
  • Gastroenterology 18
Replace Peter Eerligh with:
Peter Eerligh Netherlands
Marcelina Grabowska Poland
Megan Tatum United States
M E Fisfalen United States
Gillian Coleman United Kingdom
Whitney Besse United States
Negin Noorchashm United States
Peter J. Bianchine United States
Laura Espino‐Paisán Spain
Jeremy J. Racine United States
Martin Eichmann relative to Peter Eerligh Netherlands Peter Eerligh's profile →
Citations per field
00.5×8.1×
Peter Eerligh · 1×
Citations per year

Countries citing papers authored by Martin Eichmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Eichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201297
2 201488
3 202069
4 201155
5 201251
6 201550
7 201848
8 201836
9 201530
10 201927
11 201424
12 201723
13 201411
14 202010
15 202210
16 20204
17 20231

About Martin Eichmann

Martin Eichmann is a scholar working on Genetics, Immunology, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 634 indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), Immune Cell Function and Interaction (9 papers), Pancreatic function and diabetes (7 papers), T-cell and B-cell Immunology (5 papers), Diabetes Management and Research (3 papers), Tuberculosis Research and Epidemiology (1 paper), Receptor Mechanisms and Signaling (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Genetics (366 citations), Immunology (249 citations), Endocrinology, Diabetes and Metabolism (170 citations), Surgery (234 citations) and Gastroenterology (18 citations). Martin Eichmann has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include Mark Peakman, Deborah Kronenberg‐Versteeg, Ania Skowera, Arnoud de Ru, Peter A. van Veelen, Andrew K. Sewell, Sefina Arif, Iria Gómez-Touriño, Colin Dayan and Jake Powrie. Their work appears in journals such as Diabetes, Clinical & Experimental Immunology, Journal of Autoimmunity, The Journal of Immunology and Clinical Chemistry.

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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