Patrick Tan
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunology and Allergy top 10%
- 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
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Claudio Anasetti (2 shared papers)Mark W. Brunvand (1 shared paper)P S Linsley (1 shared paper)Jennifer Melrose (1 shared paper)John A. Hansen (1 shared paper)J A Ledbetter (1 shared paper)J Bradshaw (1 shared paper)Henry Yang (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)The Journal of Experimental Medicine (1 paper)Cell Research (1 paper)Xenotransplantation (1 paper)NAR Cancer (1 paper)
- Partner nations
- United StatesSingaporeSouth Africa
In The Last Decade
Patrick Tan
6 papers receiving 647 citations
Peers
Comparison fields: 5 of 60
- Immunology 505
- Immunology and Allergy 61
- Transplantation 19
- Hematology 53
- Oncology 112
Countries citing papers authored by Patrick Tan
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 445 | |
| 2 | 2014 | 162 | |
| 3 | 1993 | 56 | |
| 4 | 1990 | 10 | |
| 5 | 2024 | 3 | |
| 6 | Prevention of co-stimulation molecule expression using intracellular CTLA4: A novel strategy for induction of T cell anergy | 2003 | 1 |
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 677 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Genomics and Chromatin Dynamics (1 paper), Cell Adhesion Molecules Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Immunotherapy and Immune Responses (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Immunology (505 citations), Immunology and Allergy (61 citations), Transplantation (19 citations), Hematology (53 citations) and Oncology (112 citations). Patrick Tan has collaborated with scholars based in United States, Singapore and South Africa. Frequent co-authors include Claudio Anasetti, Mark W. Brunvand, P S Linsley, Jennifer Melrose, John A. Hansen, J A Ledbetter, J Bradshaw, Henry Yang, Wanqiang Sheng and Yi Zhou. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Cell Research, Xenotransplantation 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.