Gail Pearse

704 total citations
10 papers, 431 citations indexed

About

Gail Pearse is a scholar working on Immunology, Small Animals and Cancer Research. According to data from OpenAlex, Gail Pearse has authored 10 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Small Animals and 4 papers in Cancer Research. Recurrent topics in Gail Pearse's work include Immunotoxicology and immune responses (5 papers), Animal testing and alternatives (5 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Gail Pearse is often cited by papers focused on Immunotoxicology and immune responses (5 papers), Animal testing and alternatives (5 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Gail Pearse collaborates with scholars based in United Kingdom, United States and Netherlands. Gail Pearse's co-authors include Robert R. Maronpot, Joseph K. Haseman, Kevin J. Randall, Teresa Klinowska, Susan A. Elmore, Johannes H. Harleman, Daniel Weinstock, Charlotte M. Keenan, William C. Hall and C. Frieke Kuper and has published in prestigious journals such as Cell Death and Disease and Toxicologic Pathology.

In The Last Decade

Gail Pearse

10 papers receiving 410 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gail Pearse United Kingdom	7	132	100	75	49	46	10	431
Vicente Nogués Switzerland	5	61 0.5×	133 1.3×	30 0.4×	88 1.8×	49 1.1×	7	469
Yasuhiro Katsuura Japan	11	106 0.8×	158 1.6×	108 1.4×	13 0.3×	42 0.9×	32	601
Paul Howroyd United States	10	53 0.4×	147 1.5×	60 0.8×	42 0.9×	39 0.8×	13	340
Matthias Rinke Germany	13	83 0.6×	92 0.9×	76 1.0×	178 3.6×	33 0.7×	28	503
Johannes H. Harleman Germany	15	212 1.6×	113 1.1×	129 1.7×	197 4.0×	63 1.4×	36	693
James W. Crissman United States	9	81 0.6×	72 0.7×	69 0.9×	97 2.0×	13 0.3×	16	447
Christine Masson France	16	62 0.5×	189 1.9×	82 1.1×	76 1.6×	95 2.1×	46	715
Esther de Jong Netherlands	12	209 1.6×	244 2.4×	75 1.0×	64 1.3×	48 1.0×	19	777
Michael R. Bleavins United States	13	85 0.6×	242 2.4×	106 1.4×	29 0.6×	71 1.5×	33	704
Yongan Ye China	10	63 0.5×	193 1.9×	81 1.1×	8 0.2×	67 1.5×	51	573

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-authorship network of co-authors of Gail Pearse

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Pearse. A scholar is included among the top collaborators of Gail Pearse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gail Pearse. Gail Pearse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Tokarz, Debra A., et al.. (2021). Spontaneous Primary Pleural Mesothelioma in Fischer 344 (F344) and Other Rat Strains: A Retrospective Review. Toxicologic Pathology. 50(2). 167–175. 4 indexed citations

2.

Gobbetti, Thomas, Scott B. Berger, Alison Rowles, et al.. (2020). Receptor-interacting protein 1 kinase inhibition therapeutically ameliorates experimental T cell-dependent colitis in mice. Cell Death and Disease. 11(4). 220–220. 6 indexed citations

3.

Elmore, Susan A., William C. Hall, Johannes H. Harleman, et al.. (2019). Nonproliferative and Proliferative Lesions of the Rat and Mouse Hematolymphoid System. Toxicologic Pathology. 47(6). 665–783. 49 indexed citations

4.

Elmore, Susan A., Famke Aeffner, Dinesh S. Bangari, et al.. (2017). Proceedings of the 2017 National Toxicology Program Satellite Symposium. Toxicologic Pathology. 45(7). 799–833. 3 indexed citations

5.

Pearse, Gail, et al.. (2009). Time-course Study of the Immunotoxic Effects of the Anticancer Drug Chlorambucil in the Rat. Toxicologic Pathology. 37(7). 887–901. 5 indexed citations

6.

Pearse, Gail, et al.. (2009). Urinary Retention and Cystitis Associated with Subcutaneous Estradiol Pellets in Female Nude Mice. Toxicologic Pathology. 37(2). 227–234. 24 indexed citations

7.

Randall, Kevin J. & Gail Pearse. (2008). A Dual-label Technique for the Immunohistochemical Demonstration of T-Lymphocyte Subsets in Formalin-fixed, Paraffin-Embedded Rat Lymphoid Tissue. Toxicologic Pathology. 36(6). 795–804. 8 indexed citations

8.

Pearse, Gail. (2006). Histopathology of the Thymus. Toxicologic Pathology. 34(5). 515–547. 87 indexed citations

9.

Pearse, Gail. (2006). Normal Structure, Function and Histology of the Thymus. Toxicologic Pathology. 34(5). 504–514. 159 indexed citations

10.

Pearse, Gail, et al.. (2004). Prediction of Rodent Carcinogenesis: An Evaluation of Prechronic Liver Lesions as Forecasters of Liver Tumors in NTP Carcinogenicity Studies. Toxicologic Pathology. 32(4). 393–401. 86 indexed citations

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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