Patrick T Smith
Impact in
- Physiology top 0.2%
- Adenosine and Purinergic Signaling
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
Papers in
-
- Adenosine and Purinergic Signaling 7
- Immunology 10
- T-cell and B-cell Immunology 3
- interferon and immune responses 3
- Immune Response and Inflammation 3
- Co-authors
- Michail V. Sitkovsky (10 shared papers)Sergey G. Apasov (8 shared papers)Akio Ohta (4 shared papers)Dmitriy E. Lukashev (4 shared papers)Jeffrey V. Ravetch (4 shared papers)Tsan Sam Xiao (10 shared papers)Jiansheng Jiang (10 shared papers)Tengchuan Jin (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (2 papers)Physiologia Plantarum (2 papers)Blood (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Patrick T Smith
31 papers receiving 3.2k citations
Patrick T Smith's Hit Papers
Peers
Comparison fields: 5 of 89
- Physiology 832
- Immunology 765
- Cancer Research 211
- Oncology 339
- Molecular Biology 766
Countries citing papers authored by Patrick T Smith
This map shows the geographic impact of Patrick T Smith'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 T Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick T Smith more than expected).
Fields of papers citing papers by Patrick T Smith
This network shows the impact of papers produced by Patrick T Smith. 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 T Smith. The network helps show where Patrick T Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick T Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A2A adenosine receptor protects tumors from antitumor T cells Hit paper breakdown → | 2006 | 899 |
| 2 | 2012 | 482 | |
| 3 | 2012 | 262 | |
| 4 | 2005 | 239 | |
| 5 | 2010 | 160 | |
| 6 | 2007 | 156 | |
| 7 | 2013 | 143 | |
| 8 | 2001 | 106 | |
| 9 | 2001 | 73 | |
| 10 | 2003 | 70 | |
| 11 | 2013 | 69 | |
| 12 | 2013 | 64 | |
| 13 | 2014 | 62 | |
| 14 | 2023 | 61 | |
| 15 | 2000 | 54 | |
| 16 | 2017 | 45 | |
| 17 | 1991 | 43 | |
| 18 | 1991 | 38 | |
| 19 | 1996 | 37 | |
| 20 | 1991 | 31 |
About Patrick T Smith
Patrick T Smith is a scholar working on Physiology, Immunology, Plant Science, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (7 papers), Inflammasome and immune disorders (5 papers), Seed Germination and Physiology (5 papers), T-cell and B-cell Immunology (3 papers), interferon and immune responses (3 papers), Enzyme Structure and Function (3 papers), Immune Response and Inflammation (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Physiology (832 citations), Immunology (765 citations), Cancer Research (211 citations), Oncology (339 citations) and Molecular Biology (766 citations). Patrick T Smith has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Michail V. Sitkovsky, Sergey G. Apasov, Akio Ohta, Dmitriy E. Lukashev, Jeffrey V. Ravetch, Tsan Sam Xiao, Jiansheng Jiang, Tengchuan Jin, Jiang‐Fan Chen and Fubin Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS ONE, Physiologia Plantarum and Blood.
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.