F Herrmann

709 citations
16 papers · 554 · h-index 11

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
  • Oncology top 10%
    • Neutropenia and Cancer Infections
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Response and Inflammation 5
    • Immunotherapy and Immune Responses 4
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 2

F Herrmann

16 papers receiving 537 citations

Peers

F Herrmann
Comparison fields: 5 of 78
  • Immunology 259
  • Oncology 246
  • Hematology 86
  • Immunology and Allergy 23
  • Emergency Medicine 36
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CN Abboud United States
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Beate Schwinzer Germany
Carmelo Puccio United States
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R. CALLAHAN United States
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S. Iacobelli Italy
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Citations per field
00.5×10×14×
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Citations per year

Countries citing papers authored by F Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by F Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1989164
2 2004107
3 200263
4 200450
5 201033
6 199629
7 199320
8
Control of transcriptional activation of the lipopolysaccharide binding protein (LBP) gene by proinflammatory cytokines.
199717
9 200317
10 196417
11 198710
12 19897
13 19897
14 19896
15
Lymphocyte phenotypes in patients with highly reduced T inducer to T cytotoxic/suppressor ratio.
19845
16
Contribution of transcription factors to oncogenesis.
19962

About F Herrmann

F Herrmann is a scholar working on Immunology, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 16 papers that have together received 554 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers), Immune cells in cancer (4 papers), Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), Hematological disorders and diagnostics (2 papers), T-cell and B-cell Immunology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (259 citations), Oncology (246 citations), Hematology (86 citations), Immunology and Allergy (23 citations) and Emergency Medicine (36 citations). F Herrmann has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Barbara Seliger, A. Lindemann, R Mertelsmann, LM Souza, W. Meyenburg, Hans‐Anton Lehr, Ingo Drexler, Jan G. Hengstler, Gerd Sutter and Marion A. Brach. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Biological Chemistry, Immunogenetics and International Journal of Cancer.

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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