T. C. Pearson

882 citations
19 papers · 535 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

T. C. Pearson

16 papers receiving 514 citations

Peers

T. C. Pearson
Comparison fields: 5 of 62
  • Transplantation 164
  • Immunology 180
  • Genetics 82
  • Hematology 61
  • Anesthesiology and Pain Medicine 23
Replace Kadiyala V. Ravindra with:
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Emma Allain‐Launay France
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Dicken S. C. Ko United States
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Citations per field
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Citations per year

Countries citing papers authored by T. C. Pearson

Since Specialization
Citations

This map shows the geographic impact of T. C. 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 T. C. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. C. Pearson more than expected).

Fields of papers citing papers by T. C. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2006121
2 2014116
3 1997107
4 199952
5 199334
6 199923
7
Interleukin-10 eliminates anti-CD3 monoclonal antibody-induced mortality and prolongs heart allograft survival in inbred mice.
199517
8 198515
9 199313
10 198511
11 198210
12 19917
13
The induction of transplantation tolerance using donor antigen and CD4 monoclonal antibody.
19905
14 20002
15
Floppy pinnae in Siamese cats.
19981
16 20011
17 20090
18 19940
19 20080

About T. C. Pearson

T. C. Pearson is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Immunology and Epidemiology, having authored 19 papers that have together received 535 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (6 papers), Blood properties and coagulation (3 papers), Immune Response and Inflammation (3 papers), T-cell and B-cell Immunology (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Cancer Treatment and Pharmacology (2 papers), Blood groups and transfusion (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Transplantation (164 citations), Immunology (180 citations), Genetics (82 citations), Hematology (61 citations) and Anesthesiology and Pain Medicine (23 citations). T. C. Pearson has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Allan D. Kirk, Andrew Adams, C P Larsen, Stuart J. Knechtle, Christian P. Larsen, N. G. P. Slater, Bogumila T. Konieczny, Diane Z. Alexander, M. Messinezy and R P Lowry. Their work appears in journals such as American Journal of Transplantation, Clinical & Experimental Immunology, The Journal of Immunology, Clinical Science and Journal of Clinical Pathology.

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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