Patrick Tan

1.6k citations
6 papers · 654 · h-index 4

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 1
    • Genomics and Chromatin Dynamics 1
    • RNA modifications and cancer 1
    • Glycosylation and Glycoproteins Research 1

Patrick Tan

6 papers receiving 635 citations

Peers

Patrick Tan
Comparison fields: 5 of 62
  • Immunology 523
  • Immunology and Allergy 67
  • Transplantation 22
  • Hematology 58
  • Oncology 118
Replace J A Brieva with:
J A Brieva Spain
Urs Wirthmueller Switzerland
Marja C.J.A. van Eggermond Netherlands
Lina E. Tze United States
Yun Hee Cho United States
Susan Masewicz United States
Rachel E. Kohler Australia
Divya Mekala United States
Evgueni Kountikov United States
Makoto Haino Japan
Patrick Tan relative to J A Brieva Spain J A Brieva's profile →
Citations per field
00.5×3.1×
J A Brieva · 1×
Citations per year

Countries citing papers authored by Patrick Tan

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 1993433
2 2014156
3 199353
4 19909
5 20242
6
Prevention of co-stimulation molecule expression using intracellular CTLA4: A novel strategy for induction of T cell anergy
20031

About Patrick Tan

Patrick Tan is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 654 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (1 paper), Genomics and Chromatin Dynamics (1 paper), RNA modifications and cancer (1 paper), Cancer-related molecular mechanisms research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (523 citations), Immunology and Allergy (67 citations), Transplantation (22 citations), Hematology (58 citations) and Oncology (118 citations). Patrick Tan has collaborated with scholars based in United States, Singapore and South Africa. Frequent co-authors include Claudio Anasetti, J A Ledbetter, John A. Hansen, J Bradshaw, Jennifer Melrose, P S Linsley, Mark W. Brunvand, Akira Moh, Wanqiang Sheng and Mark H. Kaplan. Their work appears in journals such as The Journal of Immunology, Xenotransplantation, The Journal of Experimental Medicine, Cell Research and NAR Cancer.

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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