Pat A. Rayman

734 citations
11 papers · 617 · h-index 8

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 2
    • Inflammation biomarkers and pathways 1
    • Cancer Immunotherapy and Biomarkers 4
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Cancer Cells and Metastasis 1

Pat A. Rayman

11 papers receiving 611 citations

Peers

Pat A. Rayman
Comparison fields: 5 of 67
  • Immunology 249
  • Cancer Research 166
  • Oncology 204
  • Pulmonary and Respiratory Medicine 94
  • Molecular Biology 172
Replace Mary C. M. Weiser-Evans with:
Mary C. M. Weiser-Evans United States
Z Liu China
Jian‐Yang Ao China
Justin D. Trombley United States
Lukas J. Vlahos United States
Alessia Catozzi United States
Jan SYKORA Germany
Yael Babichev Canada
Norimasa Matsutani Japan
Helen Thut Switzerland
Pat A. Rayman relative to Mary C. M. Weiser-Evans United States Mary C. M. Weiser-Evans's profile →
Citations per field
00.5×1.5×2×2.3×
Mary C. M. Weiser-Evans · 1×
Citations per year

Countries citing papers authored by Pat A. Rayman

Since Specialization
Citations

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

Fields of papers citing papers by Pat A. Rayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pat A. Rayman. 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 Pat A. Rayman. The network helps show where Pat A. Rayman may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2011244
2 2013215
3 201343
4 202233
5 201230
6
The Bcl-2 transgene protects T cells from renal cell carcinoma-mediated apoptosis.
200315
7 199514
8 202412
9 20216
10 20224
11 20241

About Pat A. Rayman

Pat A. Rayman is a scholar working on Immunology, Oncology, Cancer Research, Dermatology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 617 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immune cells in cancer (4 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Immune Cell Function and Interaction (2 papers), Inflammation biomarkers and pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Cells and Metastasis (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Immunology (249 citations), Cancer Research (166 citations), Oncology (204 citations), Pulmonary and Respiratory Medicine (94 citations) and Molecular Biology (172 citations). Pat A. Rayman has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include James H. Finke, Peter A. Cohen, Jennifer S. Ko, Brian I. Rini, Joanna L. Ireland, Denise A. Hatala, Maryam Zamanian-Daryoush, Zeneng Wang, Thomas C. Tallant and Yvonne Parker. Their work appears in journals such as The Cancer Journal, Journal of Biological Chemistry, Molecular Immunology, Cancer Immunology Immunotherapy and International Immunopharmacology.

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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