Claire Pearson

2.3k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Claire Pearson is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Claire Pearson has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Claire Pearson's work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (7 papers). Claire Pearson is often cited by papers focused on Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (7 papers). Claire Pearson collaborates with scholars based in United Kingdom, United States and Denmark. Claire Pearson's co-authors include Fiona Powrie, Benedict Seddon, Holm H. Uhlig, Thibault Griseri, Brent S. McKenzie, Emily Thornton, Olivier Cunrath, Erik Bakkeren, Xuedan Wang and Louise Pankhurst and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Claire Pearson

24 papers receiving 1.1k citations

Hit Papers

Microbiome diversity protects against pathogens by nutrie... 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Microbiome diversity protects against pathogens by nutrient blocking
    2023 196 citations Erik Bakkeren, Martin T. Jahn et al. Science profile →

Peers

Claire Pearson
Arthur Wang Canada
Jeremiah McDole United States
Daniele Corridoni United States
Júlia Farache United States
Tegest Aychek Israel
Carlo De Salvo United States
Joana F. Neves United Kingdom
Katherine J. Guild United States
John W. McGinty United States
Kentaro Miyamoto Japan
Arthur Wang Canada
Claire Pearson
Citations per year, relative to Claire Pearson Claire Pearson (= 1×) peers Arthur Wang

Countries citing papers authored by Claire Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Claire Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Pearson. A scholar is included among the top collaborators of Claire Pearson 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 Claire Pearson. Claire Pearson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hogan, Thea, Sanket Rane, Claire Pearson, et al.. (2025). A linear ontogeny accounts for the development of naive, memory, and tumor-infiltrating regulatory T cells in mice. Science Immunology. 10(108). eadu7341–eadu7341.
2.
Pearson, Claire, William J. Branchett, Probir Chakravarty, et al.. (2024). Blimp-1 and c-Maf regulate immune gene networks to protect against distinct pathways of pathobiont-induced colitis. Nature Immunology. 25(5). 886–901. 5 indexed citations
3.
Bartolomé-Casado, Raquel, Chuan Xu, Alice Bertocchi, et al.. (2024). Immune microniches shape intestinal Treg function. Nature. 628(8009). 854–862. 32 indexed citations
4.
5.
Pearson, Claire, et al.. (2023). Compliant substrates mitigate the senescence associated phenotype of stress induced mesenchymal stromal cells. Journal of Biomedical Materials Research Part A. 112(5). 770–780. 6 indexed citations
6.
Bakkeren, Erik, Martin T. Jahn, Claire Pearson, et al.. (2023). Microbiome diversity protects against pathogens by nutrient blocking. Science. 382(6676). eadj3502–eadj3502. 196 indexed citations breakdown →
7.
Janney, Alina, Nicholas E. Ilott, Alice Bertocchi, et al.. (2023). MHC class II antigen presentation by intestinal epithelial cells fine-tunes bacteria-reactive CD4 T-cell responses. Mucosal Immunology. 17(3). 416–430. 17 indexed citations
8.
Hackstein, Carl-Philipp, Claire Pearson, Samuel J. Bullers, et al.. (2022). A conserved population of MHC II-restricted, innate-like, commensal-reactive T cells in the gut of humans and mice. Nature Communications. 13(1). 7472–7472. 11 indexed citations
9.
Jackson, Matthew, Claire Pearson, Nicholas E. Ilott, et al.. (2021). Accurate identification and quantification of commensal microbiota bound by host immunoglobulins. Microbiome. 9(1). 33–33. 31 indexed citations
10.
Ryzhakov, Grigory, Alastair Corbin, Dorothée L. Berthold, et al.. (2021). Defactinib inhibits PYK2 phosphorylation of IRF5 and reduces intestinal inflammation. Nature Communications. 12(1). 6702–6702. 19 indexed citations
11.
Pearson, Claire, et al.. (2021). The microbiome does not influence cartilage degradation following joint destabilisation in mice when performed under stringently controlled conditions. Osteoarthritis and Cartilage. 29. S190–S190. 1 indexed citations
12.
Rane, Sanket, et al.. (2020). Fate Mapping Quantifies the Dynamics of B Cell Development and Activation throughout Life. Cell Reports. 33(7). 108376–108376. 14 indexed citations
13.
14.
Ryzhakov, Grigory, Nathaniel R. West, Fanny Franchini, et al.. (2018). Alpha kinase 1 controls intestinal inflammation by suppressing the IL-12/Th1 axis. Nature Communications. 9(1). 3797–3797. 43 indexed citations
15.
Pearson, Claire, Emily Thornton, Brent S. McKenzie, et al.. (2016). ILC3 GM-CSF production and mobilisation orchestrate acute intestinal inflammation. eLife. 5. e10066–e10066. 182 indexed citations
16.
Krausgruber, Thomas, Chris Schiering, Krista Adelmann, et al.. (2016). T-bet is a key modulator of IL-23-driven pathogenic CD4+ T cell responses in the intestine. Nature Communications. 7(1). 11627–11627. 65 indexed citations
17.
Griseri, Thibault, Isabelle C. Arnold, Claire Pearson, et al.. (2015). Granulocyte Macrophage Colony-Stimulating Factor-Activated Eosinophils Promote Interleukin-23 Driven Chronic Colitis. Immunity. 43(1). 187–199. 149 indexed citations
18.
Pearson, Claire, Holm H. Uhlig, & Fiona Powrie. (2012). Lymphoid microenvironments and innate lymphoid cells in the gut. Trends in Immunology. 33(6). 289–296. 72 indexed citations
19.
Pearson, Claire, Ana Silva, & Benedict Seddon. (2012). Exogenous Amino Acids Are Essential for Interleukin-7 Induced CD8 T Cell Gowth. PLoS ONE. 7(4). e33998–e33998. 20 indexed citations
20.
Gautam, Anand M., et al.. (1995). Binding of an invariant-chain peptide, CLIP, to I-A major histocompatibility complex class II molecules.. Proceedings of the National Academy of Sciences. 92(1). 335–339. 34 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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