Parth Patwari
Impact in
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Proteoglycans and glycosaminoglycans research
Papers in
- Rheumatology 16
- Osteoarthritis Treatment and Mechanisms 16
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- Redox biology and oxidative stress 8
- Receptor Mechanisms and Signaling 6
- Co-authors
- Richard Lee (15 shared papers)Alan J. Grodzinsky (16 shared papers)William A. Chutkow (6 shared papers)Jun Yoshioka (8 shared papers)Michael W. Lark (5 shared papers)John D. Sandy (3 shared papers)Bodo Kurz (4 shared papers)Luke Higgins (1 shared paper)
- Journals
- Blood (5 papers)Circulation Research (3 papers)Journal of Biological Chemistry (3 papers)Cell Metabolism (2 papers)Osteoarthritis and Cartilage (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Parth Patwari
40 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 124
- Rheumatology 854
- Cell Biology 502
- Equine 35
- Immunology and Allergy 127
- Physiology 467
Countries citing papers authored by Parth Patwari
This map shows the geographic impact of Parth Patwari'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 Parth Patwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parth Patwari more than expected).
Fields of papers citing papers by Parth Patwari
This network shows the impact of papers produced by Parth Patwari. 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 Parth Patwari. The network helps show where Parth Patwari may publish in the future.
Co-authors
The 25 scholars most cited alongside Parth Patwari, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 268 | |
| 2 | 2003 | 180 | |
| 3 | 2014 | 175 | |
| 4 | 2001 | 173 | |
| 5 | 2015 | 172 | |
| 6 | 2007 | 169 | |
| 7 | 2009 | 158 | |
| 8 | 2003 | 141 | |
| 9 | 2010 | 119 | |
| 10 | 2000 | 112 | |
| 11 | 2008 | 110 | |
| 12 | 2011 | 94 | |
| 13 | 2004 | 89 | |
| 14 | 2012 | 89 | |
| 15 | 2004 | 83 | |
| 16 | 2002 | 70 | |
| 17 | 2005 | 69 | |
| 18 | 2000 | 54 | |
| 19 | 2003 | 54 | |
| 20 | 2010 | 53 |
About Parth Patwari
Parth Patwari is a scholar working on Rheumatology, Molecular Biology, Cell Biology, Surgery and Physiology, having authored 41 papers that have together received 2.8k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (16 papers), Knee injuries and reconstruction techniques (8 papers), Redox biology and oxidative stress (8 papers), Iron Metabolism and Disorders (6 papers), Receptor Mechanisms and Signaling (6 papers), Complement system in diseases (5 papers), Adipose Tissue and Metabolism (5 papers) and Proteoglycans and glycosaminoglycans research (5 papers). The work is most often cited by research in Rheumatology (854 citations), Cell Biology (502 citations), Equine (35 citations), Immunology and Allergy (127 citations) and Physiology (467 citations). Parth Patwari has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Richard Lee, Alan J. Grodzinsky, William A. Chutkow, Jun Yoshioka, Michael W. Lark, John D. Sandy, Bodo Kurz, Luke Higgins, Matthew L. Steinhauser and Mingyue Lun. Their work appears in journals such as Blood, Circulation Research, Journal of Biological Chemistry, Cell Metabolism and Osteoarthritis and Cartilage.
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.