Martin Eichmann
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 5%
- Diabetes and associated disorders
Papers in
- Genetics 13
- Diabetes and associated disorders 13
- Immunology 11
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 6
- Co-authors
- Mark Peakman (14 shared papers)Deborah Kronenberg‐Versteeg (7 shared papers)Ania Skowera (5 shared papers)Peter A. van Veelen (3 shared papers)Arnoud de Ru (3 shared papers)Andrew K. Sewell (5 shared papers)Sefina Arif (2 shared papers)Guo Huang (3 shared papers)
- Journals
- Diabetes (4 papers)The Journal of Immunology (2 papers)Journal of Autoimmunity (2 papers)Clinical & Experimental Immunology (2 papers)Current Opinion in Endocrinology Diabetes and Obesity (1 paper)
- Partner nations
- United KingdomNetherlandsAustralia
In The Last Decade
Martin Eichmann
17 papers receiving 613 citations
Peers
Comparison fields: 5 of 58
- Immunology 282
- Genetics 369
- Endocrinology, Diabetes and Metabolism 196
- Surgery 279
- Gastroenterology 23
Countries citing papers authored by Martin Eichmann
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | 2014 | 87 | |
| 3 | 2020 | 66 | |
| 4 | 2011 | 55 | |
| 5 | 2015 | 50 | |
| 6 | 2012 | 48 | |
| 7 | 2018 | 47 | |
| 8 | 2018 | 36 | |
| 9 | 2015 | 29 | |
| 10 | 2019 | 26 | |
| 11 | 2017 | 23 | |
| 12 | 2014 | 23 | |
| 13 | 2014 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 4 | |
| 17 | 2023 | 1 |
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 620 indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), Immune Cell Function and Interaction (10 papers), Pancreatic function and diabetes (7 papers), T-cell and B-cell Immunology (6 papers), Diabetes Management and Research (3 papers), Colorectal Cancer Treatments and Studies (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Immunology (282 citations), Genetics (369 citations), Endocrinology, Diabetes and Metabolism (196 citations), Surgery (279 citations) and Gastroenterology (23 citations). Martin Eichmann has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include Mark Peakman, Deborah Kronenberg‐Versteeg, Ania Skowera, Peter A. van Veelen, Arnoud de Ru, Andrew K. Sewell, Sefina Arif, Guo Huang, Iria Gómez-Touriño and Colin Dayan. Their work appears in journals such as Diabetes, The Journal of Immunology, Journal of Autoimmunity, Clinical & Experimental Immunology and Current Opinion in Endocrinology Diabetes and Obesity.
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.