Henry Hess

1.5k citations
19 papers · 1.2k indexed · h-index 15

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 12
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 6
    • Immunodeficiency and Autoimmune Disorders 3
    • Immune Response and Inflammation 2
    • Cell Adhesion Molecules Research 3

Henry Hess

19 papers receiving 1.2k citations

Peers

Henry Hess
Comparison fields: 5 of 81
  • Immunology 750
  • Immunology and Allergy 86
  • Rheumatology 185
  • Neurology 73
  • Cancer Research 112
Replace Noriko Arase with:
Noriko Arase Japan
Alyce M. Oliver United States
D H Kono United States
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Joseph R. Tumang United States
Iain Comerford Australia
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Katrina L. Randall Australia
Chandra Raykundalia United Kingdom
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Henry Hess relative to Noriko Arase Japan Noriko Arase's profile →
Citations per field
00.5×1.5×2.3×
Noriko Arase · 1×
Citations per year

Countries citing papers authored by Henry Hess

Since Specialization
Citations

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

Fields of papers citing papers by Henry Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 202211
2 201898
3 201754
4 201722
5 2017151
6 201615
7 20161
8 201537
9 20144
10 201449
11 201464
12 201314
13 200731
14 2006132
15 1999100
16 199618
17 199628
18 199651
19 1995299

About Henry Hess

Henry Hess is a scholar working on Immunology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Neurology and Genetics, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Cell Adhesion Molecules Research (3 papers), Immune Response and Inflammation (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Immunology (750 citations), Immunology and Allergy (86 citations), Rheumatology (185 citations), Neurology (73 citations) and Cancer Research (112 citations). Henry Hess has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Tieno Germann, Erwin Rüde, Pascal Schneider, Maurice K. Gately, Edgar Schmitt, Bertrand Huard, Eckehart Kölsch, Frank Podlaski, Ludger Kolbe and Eileen T. Samy. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Journal of Biological Chemistry, Cell Reports and PLoS ONE.

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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