Kai Herrmann
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
Papers in
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 1
- Immunodeficiency and Autoimmune Disorders 1
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- Ubiquitin and proteasome pathways 1
- Co-authors
- Hans‐Martin Jäck (6 shared papers)Martin Herrmann (2 shared papers)Reinhard Voll (2 shared papers)Silke Meister (2 shared papers)Martin Gramatzki (1 shared paper)Ulrich S. Schubert (1 shared paper)Sandra Schreiber (1 shared paper)Sabine Hahn (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)RNA (1 paper)Cancer Research (1 paper)Seminars in Immunology (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Kai Herrmann
8 papers receiving 528 citations
Peers
Comparison fields: 5 of 60
- Hematology 135
- Immunology 198
- Transplantation 23
- Cell Biology 92
- Molecular Biology 285
Countries citing papers authored by Kai Herrmann
This map shows the geographic impact of Kai Herrmann'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 Kai Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Herrmann more than expected).
Fields of papers citing papers by Kai Herrmann
This network shows the impact of papers produced by Kai Herrmann. 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 Kai Herrmann. The network helps show where Kai Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Herrmann, 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 | 2007 | 334 | |
| 2 | 2006 | 76 | |
| 3 | 2006 | 40 | |
| 4 | 2007 | 28 | |
| 5 | 2008 | 26 | |
| 6 | 2009 | 15 | |
| 7 | 1963 | 13 | |
| 8 | 2007 | 10 |
About Kai Herrmann
Kai Herrmann is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Dermatology, having authored 8 papers that have together received 542 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Ubiquitin and proteasome pathways (1 paper), Immunotherapy and Immune Responses (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Hair Growth and Disorders (1 paper). The work is most often cited by research in Hematology (135 citations), Immunology (198 citations), Transplantation (23 citations), Cell Biology (92 citations) and Molecular Biology (285 citations). Kai Herrmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hans‐Martin Jäck, Martin Herrmann, Reinhard Voll, Silke Meister, Martin Gramatzki, Ulrich S. Schubert, Sandra Schreiber, Sabine Hahn, Sabine Wilhelm and Renate Burger. Their work appears in journals such as The Journal of Immunology, RNA, Cancer Research, Seminars in Immunology and Cell Death and Differentiation.
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.