Patrick J. Shaw
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Pharmacology top 0.5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
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- Ion Channels and Receptors 9
-
- Drug-Induced Hepatotoxicity and Protection 9
- Co-authors
- Thirumala‐Devi Kanneganti (9 shared papers)Stefan Feske (10 shared papers)Patricia E. Ganey (8 shared papers)Robert A. Roth (8 shared papers)Michael McDermott (1 shared paper)Carl Weidinger (4 shared papers)Hongbo Chi (3 shared papers)John R. Lukens (3 shared papers)
- Journals
- Toxicological Sciences (4 papers)European Journal of Immunology (3 papers)Journal of Pharmacology and Experimental Therapeutics (3 papers)The Journal of Immunology (3 papers)Immunity (3 papers)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Patrick J. Shaw
30 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 92
- Sensory Systems 364
- Pharmacology 476
- Physiology 96
- Immunology 460
- Molecular Biology 709
Countries citing papers authored by Patrick J. Shaw
This map shows the geographic impact of Patrick J. Shaw'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 J. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Shaw more than expected).
Fields of papers citing papers by Patrick J. Shaw
This network shows the impact of papers produced by Patrick J. Shaw. 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 J. Shaw. The network helps show where Patrick J. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick J. Shaw, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 205 | |
| 2 | 2010 | 133 | |
| 3 | 2007 | 127 | |
| 4 | 2011 | 121 | |
| 5 | 2011 | 113 | |
| 6 | 2011 | 112 | |
| 7 | 2012 | 105 | |
| 8 | 2015 | 102 | |
| 9 | 2015 | 102 | |
| 10 | 2010 | 101 | |
| 11 | 2011 | 99 | |
| 12 | 2016 | 96 | |
| 13 | 2013 | 91 | |
| 14 | 2010 | 88 | |
| 15 | 2012 | 87 | |
| 16 | 2015 | 60 | |
| 17 | 2008 | 53 | |
| 18 | 2014 | 53 | |
| 19 | 2015 | 52 | |
| 20 | 2005 | 49 |
About Patrick J. Shaw
Patrick J. Shaw is a scholar working on Sensory Systems, Pharmacology, Immunology, Molecular Biology and Computational Theory and Mathematics, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ion Channels and Receptors (9 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Inflammasome and immune disorders (7 papers), T-cell and B-cell Immunology (4 papers), Computational Drug Discovery Methods (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Sensory Systems (364 citations), Pharmacology (476 citations), Physiology (96 citations), Immunology (460 citations) and Molecular Biology (709 citations). Patrick J. Shaw has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Thirumala‐Devi Kanneganti, Stefan Feske, Patricia E. Ganey, Robert A. Roth, Michael McDermott, Carl Weidinger, Hongbo Chi, John R. Lukens, Mohamed Lamkanfi and Maureen Ann McGargill. Their work appears in journals such as Toxicological Sciences, European Journal of Immunology, Journal of Pharmacology and Experimental Therapeutics, The Journal of Immunology and Immunity.
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.