Nathan Richoz

9.4k citations
14 papers · 444 indexed · h-index 9

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Systemic Lupus Erythematosus Research

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Phagocytosis and Immune Regulation 3
    • IL-33, ST2, and ILC Pathways 2
    • Immunotherapy and Immune Responses 2
    • Immune cells in cancer 2
    • Systemic Lupus Erythematosus Research 3

Nathan Richoz

13 papers receiving 439 citations

Peers

Nathan Richoz
Comparison fields: 5 of 74
  • Immunology 254
  • Rheumatology 71
  • Nephrology 23
  • Oncology 88
  • Cancer Research 47
Replace Xiang-Pei Li with:
Xiang-Pei Li China
Dorian LaTocha United States
Milena Vukelic United States
Truong‐Minh Dang Singapore
Juling Zhou United States
Natsumi Maehara Japan
Eric Dickerson United States
R. Furie United States
Veronika Lang Germany
F Osakada Japan
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Citations per field
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Xiang-Pei Li · 1×
Citations per year

Countries citing papers authored by Nathan Richoz

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Richoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020153
2 202168
3 201958
4 201647
5 202240
6 202430
7 202123
8 202210
9 20248
10 20244
11 20251
12 20171
13 20171
14 20250

About Nathan Richoz

Nathan Richoz is a scholar working on Immunology, Rheumatology, Molecular Biology, Physiology and Genetics, having authored 14 papers that have together received 444 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Phagocytosis and Immune Regulation (3 papers), Systemic Lupus Erythematosus Research (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Immunotherapy and Immune Responses (2 papers), Diabetes and associated disorders (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (254 citations), Rheumatology (71 citations), Nephrology (23 citations), Oncology (88 citations) and Cancer Research (47 citations). Nathan Richoz has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Richard M. Siegel, Menna R. Clatworthy, Zewen Kelvin Tuong, Kevin W. Loudon, John R. Ferdinand, Mariana J. Kaplan, Kathleen R Bashant, Gemma D. Banham, Randall S. Johnson and M. Zaeem Cader. Their work appears in journals such as Nature Communications, The Journal of Immunology, Nature Immunology, iScience and Science Translational Medicine.

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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