Kai Herrmann

658 citations
8 papers · 538 · h-index 8

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Phagocytosis and Immune Regulation 1
    • Kruppel-like factors research 1

Kai Herrmann

8 papers receiving 524 citations

Peers

Kai Herrmann
Comparison fields: 5 of 61
  • Hematology 145
  • Immunology 213
  • Transplantation 25
  • Cell Biology 96
  • Molecular Biology 293
Replace Floortje L. Kessler with:
Floortje L. Kessler Netherlands
Massimiliano De Bortoli Italy
Nobukuni Sawai Japan
Inna Verbovetski Israel
Deborah Clarke United Kingdom
Takako Tsujimoto Japan
Franziska Leonhardt Germany
Parvathi Ranganathan United States
Stefanie Lindner Germany
Emmanuel J. Volanakis United States
Kai Herrmann relative to Floortje L. Kessler Netherlands Floortje L. Kessler's profile →
Citations per field
00.5×3.1×
Floortje L. Kessler · 1×
Citations per year

Countries citing papers authored by Kai Herrmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

8 of 8 papers shown
#Work
1 2007330
2 200676
3 200640
4 200728
5 200826
6 200915
7 196313
8 200710

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 538 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), Kruppel-like factors research (1 paper), Dermatologic Treatments and Research (1 paper), Phagocytosis and Immune Regulation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hematology (145 citations), Immunology (213 citations), Transplantation (25 citations), Cell Biology (96 citations) and Molecular Biology (293 citations). Kai Herrmann has collaborated with scholars based in Germany, Slovakia and Switzerland. Frequent co-authors include Hans‐Martin Jäck, Martin Herrmann, Reinhard Voll, Silke Meister, Sandra Schreiber, Renate Burger, Sabine Hahn, Martin Gramatzki, Ulrich S. Schubert and Kirsten Neubert. Their work appears in journals such as The Journal of Immunology, Cell Death and Differentiation, Molecular Immunology, Seminars in Immunology and 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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