Daniel Seidel

790 citations
8 papers · 676 · h-index 8

Impact in

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

Papers in

    • Galectins and Cancer Biology 1
    • Immunotherapy and Immune Responses 1
    • T-cell and B-cell Immunology 1
    • Mast cells and histamine 1
    • Inflammatory Bowel Disease 2

Daniel Seidel

8 papers receiving 669 citations

Peers

Daniel Seidel
Comparison fields: 5 of 83
  • Immunology 288
  • Hepatology 43
  • Cancer Research 64
  • Genetics 106
  • Molecular Biology 218
Replace Gui-Wei He with:
Gui-Wei He Germany
Megan E. Himmel Canada
Craig R. Homer United States
Kengo Nozaki Japan
Caroline Hall United States
Luisa Camoglio Netherlands
Graham F. Brady United States
Jeremy Dupaul-Chicoine Canada
Anna T. Reinicke Germany
Daniel Seidel relative to Gui-Wei He Germany Gui-Wei He's profile →
Citations per field
00.5×5.2×
Gui-Wei He · 1×
Citations per year

Countries citing papers authored by Daniel Seidel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Seidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2007406
2 2006137
3 201339
4 201423
5 200623
6 201421
7 200917
8 201110

About Daniel Seidel

Daniel Seidel is a scholar working on Immunology, Genetics, Surgery, Molecular Biology and Epidemiology, having authored 8 papers that have together received 676 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (2 papers), Allergic Rhinitis and Sensitization (1 paper), Liver Diseases and Immunity (1 paper), NF-κB Signaling Pathways (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper), T-cell and B-cell Immunology (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology (288 citations), Hepatology (43 citations), Cancer Research (64 citations), Genetics (106 citations) and Molecular Biology (218 citations). Daniel Seidel has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Markus F. Neurath, Christoph Becker, Ingrid Tubbe, Benno Weigmann, Christoph Loddenkemper, Ulrich Steinhoff, Stefan H. E. Kaufmann, Alexander Visekruna, A J Kroesen and Martin Zeitz. Their work appears in journals such as Histochemistry and Cell Biology, Inflammatory Bowel Diseases, Nature Protocols, European Journal of Immunology and Journal of Hepatology.

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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