P. Datta
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in ⓘ
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- Osteoarthritis Treatment and Mechanisms 5
- Rheumatoid Arthritis Research and Therapies 2
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- Toxic Organic Pollutants Impact 4
- Co-authors
- Anirudh Sharma (4 shared papers)Mohit Kapoor (7 shared papers)Evgeny Rossomacha (6 shared papers)Brian Wu (3 shared papers)Rajiv Gandhi (4 shared papers)Edwin P. Laug (4 shared papers)Jason S. Rockel (4 shared papers)Helal Endisha (5 shared papers)
- Journals
- Osteoarthritis and Cartilage (2 papers)JCI Insight (2 papers)Scientific Reports (1 paper)Journal of the American Chemical Society (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesCanadaSlovakia
In The Last Decade
P. Datta
17 papers receiving 433 citations
Peers
Comparison fields: 5 of 85
- Rheumatology 220
- Cancer Research 133
- Pharmacology 64
- Health, Toxicology and Mutagenesis 44
- Molecular Biology 192
Countries citing papers authored by P. Datta
This map shows the geographic impact of P. Datta'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 P. Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Datta more than expected).
Fields of papers citing papers by P. Datta
This network shows the impact of papers produced by P. Datta. 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 P. Datta. The network helps show where P. Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Datta, 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 | 2018 | 140 | |
| 2 | 2020 | 85 | |
| 3 | 2016 | 62 | |
| 4 | 2017 | 45 | |
| 5 | 1964 | 37 | |
| 6 | 1968 | 18 | |
| 7 | 1974 | 13 | |
| 8 | 1964 | 12 | |
| 9 | 1965 | 10 | |
| 10 | 1965 | 10 | |
| 11 | 1961 | 9 | |
| 12 | 1965 | 6 | |
| 13 | 2019 | 2 | |
| 14 | 1969 | 2 | |
| 15 | Role of adipose tissue in diabetic ketosis. | 1971 | 1 |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 1968 | 1 |
About P. Datta
P. Datta is a scholar working on Rheumatology, Health, Toxicology and Mutagenesis, Cancer Research, Sensory Systems and Animal Science and Zoology, having authored 18 papers that have together received 455 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Toxic Organic Pollutants Impact (4 papers), Adipose Tissue and Metabolism (2 papers), Diabetes and associated disorders (2 papers), Circular RNAs in diseases (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Rheumatology (220 citations), Cancer Research (133 citations), Pharmacology (64 citations), Health, Toxicology and Mutagenesis (44 citations) and Molecular Biology (192 citations). P. Datta has collaborated with scholars based in United States, Canada and Slovakia. Frequent co-authors include Anirudh Sharma, Mohit Kapoor, Evgeny Rossomacha, Brian Wu, Rajiv Gandhi, Edwin P. Laug, Jason S. Rockel, Helal Endisha, Pampee P. Young and Sarah Lechner. Their work appears in journals such as Osteoarthritis and Cartilage, JCI Insight, Scientific Reports, Journal of the American Chemical Society and Diabetes.
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.