Gail Pearse

704 citations
10 papers · 431 · h-index 7

Impact in

    • Animal testing and alternatives
    • Immunotoxicology and immune responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

Gail Pearse

10 papers receiving 410 citations

Peers

Gail Pearse
Comparison fields: 5 of 98
  • Small Animals 49
  • Immunology 132
  • Cancer Research 75
  • Health, Toxicology and Mutagenesis 44
  • Chemical Health and Safety 2
Replace James W. Crissman with:
James W. Crissman United States
Vicente Nogués Switzerland
Michael R. Bleavins United States
Johannes H. Harleman Germany
Matthias Rinke Germany
Paul Howroyd United States
Barbara Döring Germany
Christine Masson France
Wim Van Molle Belgium
G Reznik Germany
Gail Pearse relative to James W. Crissman United States James W. Crissman's profile →
Citations per field
00.5×2.8×
James W. Crissman · 1×
Citations per year

Countries citing papers authored by Gail Pearse

Since Specialization
Citations

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

Fields of papers citing papers by Gail Pearse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2006159
2 200687
3 200486
4 201949
5 200924
6 20088
7 20206
8 20095
9 20214
10 20173

About Gail Pearse

Gail Pearse is a scholar working on Immunology, Small Animals, Cancer Research, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (5 papers), Animal testing and alternatives (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Occupational and environmental lung diseases (1 paper), Inflammatory Bowel Disease (1 paper), TGF-β signaling in diseases (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Small Animals (49 citations), Immunology (132 citations), Cancer Research (75 citations), Health, Toxicology and Mutagenesis (44 citations) and Chemical Health and Safety (2 citations). Gail Pearse has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Joseph K. Haseman, Robert R. Maronpot, Kevin J. Randall, Teresa Klinowska, William C. Hall, Jerrold M. Ward, Susan A. Elmore, Charlotte M. Keenan, Beth Mahler and Daniel Weinstock. Their work appears in journals such as Toxicologic Pathology and Cell Death and Disease.

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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