Thomas Bickert

542 citations
13 papers · 433 indexed · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 3
    • IL-33, ST2, and ILC Pathways 2
    • Bone Metabolism and Diseases 2

Thomas Bickert

13 papers receiving 428 citations

Peers

Thomas Bickert
Comparison fields: 5 of 67
  • Immunology 243
  • Immunology and Allergy 38
  • Oncology 68
  • Dermatology 20
  • Hematology 25
Replace Elizabeth A. Rupp with:
Elizabeth A. Rupp United States
Grefachew Workalemahu Germany
Maria Pokrovskii United States
Courtney J. Fleenor United States
Martina Fuchsberger Australia
Greg A. Perry United States
Jon A. Green United States
Selvakumar Sukumar United States
An De Creus Belgium
Stéphane Vandenabeele Australia
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Citations per field
00.5×10×17×
Elizabeth A. Rupp · 1×
Citations per year

Countries citing papers authored by Thomas Bickert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010101
2 200977
3 200748
4 200948
5 200545
6 201138
7 200938
8 200610
9 200610
10 20128
11 20157
12 20142
13
CD83 is a regular of murine B cell function in vivo
20071

About Thomas Bickert

Thomas Bickert is a scholar working on Immunology, Molecular Biology, Oncology, Immunology and Allergy and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Allergic Rhinitis and Sensitization (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Research on Leishmaniasis Studies (2 papers), Asthma and respiratory diseases (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Immunology (243 citations), Immunology and Allergy (38 citations), Oncology (68 citations), Dermatology (20 citations) and Hematology (25 citations). Thomas Bickert has collaborated with scholars based in Germany, United Kingdom and Colombia. Frequent co-authors include Uwe Ritter, Bernhard Fleischer, Andrea Kristina Horst, Nancy Brewig, Michael Amling, Thorsten Schinke, Claudia M. Trujillo‐Vargas, Kristofer Wintges, Gisela Wohlleben and Johannes Keller. Their work appears in journals such as The Journal of Immunology, Blood, International Archives of Allergy and Immunology, Vaccine and Arteriosclerosis Thrombosis and Vascular Biology.

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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