Patrick Smith
- Physiology top 0.1%
- Adenosine and Purinergic Signaling 13
- Immunology top 1%
- Immune Cell Function and Interaction 6
- interferon and immune responses 4
- Molecular Biology top 5%
- Inflammasome and immune disorders 6
- Glycosylation and Glycoproteins Research 5
- Aging top 5%
- Oncology top 5%
- CAR-T cell therapy research 5
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- Monoclonal and Polyclonal Antibodies Research 5
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- Seed Germination and Physiology 3
- Co-authors
- Michail V. SitkovskySergey ApasovJeffrey V. RavetchAkio OhtaJiansheng JiangTsan Sam XiaoTengchuan JinEdwin K. Jackson
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (3 papers)Blood (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Patrick Smith
43 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Physiology 995
- Immunology 1.8k
- Molecular Biology 1.7k
- Aging 41
- Oncology 547
Countries citing papers authored by Patrick Smith
This map shows the geographic impact of Patrick 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 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 Smith more than expected).
Fields of papers citing papers by Patrick Smith
This network shows the impact of papers produced by Patrick 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 Smith. The network helps show where Patrick Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2021 | 12 | |
| 3 | 2020 | 12 | |
| 4 | 2019 | 54 | |
| 5 | 2018 | 9 | |
| 6 | 2017 | 42 | |
| 7 | 2013 | 65 | |
| 8 | 2013 | 135 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 437 | |
| 11 | 2008 | 42 | |
| 12 | A2A adenosine receptor protects tumors from antitumor T cellsbreakdown → | 2006 | 817 |
| 13 | 2005 | 224 | |
| 14 | 2003 | 64 | |
| 15 | 2003 | 382 | |
| 16 | 2001 | 88 | |
| 17 | 2000 | 28 | |
| 18 | 1999 | 92 | |
| 19 | 1996 | 36 | |
| 20 | 1991 | 30 |
About Patrick Smith
Patrick Smith is a scholar working on Physiology, Immunology and Molecular Biology, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (13 papers), Immune Cell Function and Interaction (6 papers), Inflammasome and immune disorders (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (5 papers), interferon and immune responses (4 papers) and Seed Germination and Physiology (3 papers). The work is most often cited by research in Physiology (995 citations), Immunology (1.8k citations) and Molecular Biology (1.7k citations). Patrick Smith has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michail V. Sitkovsky, Sergey Apasov, Jeffrey V. Ravetch, Akio Ohta, Jiansheng Jiang, Tsan Sam Xiao, Tengchuan Jin, Edwin K. Jackson, Jiang‐Fan Chen and Dmitriy Lukashev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Blood, Biochemical Journal and Journal of Clinical Investigation.
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.