Janet Staats

742 citations
18 papers · 483 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 2
    • Single-cell and spatial transcriptomics 8
    • Gene expression and cancer classification 3

Janet Staats

18 papers receiving 480 citations

Peers

Janet Staats
Comparison fields: 5 of 75
  • Immunology 233
  • Oncology 134
  • Biophysics 18
  • Biological Psychiatry 7
  • Genetics 28
Replace Fréderic Vély with:
Fréderic Vély France
Giovanni A. M. Povoleri United Kingdom
Samira Asgari United States
Daniel J. Wikenheiser United States
Elena Blanco Spain
Ida Lindeman Norway
Alice Wiedeman United States
Shion Imoto Japan
Ryan J. Martinez United States
Christopher L. Pinder United Kingdom
Janet Staats relative to Fréderic Vély France Fréderic Vély's profile →
Citations per field
00.5×10×20×30×42×
Fréderic Vély · 1×
Citations per year

Countries citing papers authored by Janet Staats

Since Specialization
Citations

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

Fields of papers citing papers by Janet Staats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015158
2 201473
3 201342
4 202226
5 201826
6 201924
7 201923
8 202121
9 201920
10 201217
11 201412
12 20149
13 20108
14 20147
15 20197
16 20217
17 20222
18 20231

About Janet Staats

Janet Staats is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Virology, having authored 18 papers that have together received 483 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Gene expression and cancer classification (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Immunotherapy and Immune Responses (2 papers), HIV Research and Treatment (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Immunology (233 citations), Oncology (134 citations), Biophysics (18 citations), Biological Psychiatry (7 citations) and Genetics (28 citations). Janet Staats has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Kent J. Weinhold, Cedrik M. Britten, Andrew Godkin, Tanja D. de Gruijl, Awen Gallimore, Ethan M. Shevach, Kjetil Taskén, Marij J.P. Welters, Holden T. Maecker and Sjoerd H. van der Burg. Their work appears in journals such as Cytometry Part A, Journal of Immunological Methods, Clinical Cancer Research, Clinical Immunology and Journal of Medical Virology.

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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