Pradeep Kumar Sacitharan
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Circular RNAs in diseases 2
- Extracellular vesicles in disease 2
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- Inflammatory mediators and NSAID effects 2
- Co-authors
- James Edwards (4 shared papers)Tonia L. Vincent (3 shared papers)George Bou–Gharios (1 shared paper)Alexander M. Sapozhnikov (1 shared paper)D. Yu. Ryazantsev (1 shared paper)Mohammad Kawsar Sharif Siam (1 shared paper)Zarema Albakova (1 shared paper)Rustam Ziganshin (1 shared paper)
- Journals
- Arthritis & Rheumatology (1 paper)Experimental & Molecular Medicine (1 paper)Signal Transduction and Targeted Therapy (1 paper)Mammalian Genome (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United KingdomChinaTajikistan
In The Last Decade
Pradeep Kumar Sacitharan
12 papers receiving 591 citations
Peers
Comparison fields: 5 of 80
- Rheumatology 237
- Geriatrics and Gerontology 31
- Pharmacology 81
- Cancer Research 68
- Molecular Biology 229
Countries citing papers authored by Pradeep Kumar Sacitharan
This map shows the geographic impact of Pradeep Kumar Sacitharan'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 Pradeep Kumar Sacitharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Kumar Sacitharan more than expected).
Fields of papers citing papers by Pradeep Kumar Sacitharan
This network shows the impact of papers produced by Pradeep Kumar Sacitharan. 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 Pradeep Kumar Sacitharan. The network helps show where Pradeep Kumar Sacitharan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Kumar Sacitharan, 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 | 2019 | 215 | |
| 2 | 2015 | 85 | |
| 3 | 2020 | 74 | |
| 4 | 2020 | 72 | |
| 5 | 2018 | 42 | |
| 6 | 2014 | 31 | |
| 7 | 2016 | 30 | |
| 8 | 2020 | 27 | |
| 9 | 2022 | 13 | |
| 10 | Aging mechanisms in arthritic disease. | 2012 | 7 |
| 11 | 2016 | 2 | |
| 12 | 2020 | 2 |
About Pradeep Kumar Sacitharan
Pradeep Kumar Sacitharan is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Rheumatology and Oncology, having authored 12 papers that have together received 600 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (3 papers), Inflammatory mediators and NSAID effects (2 papers), Circular RNAs in diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Autophagy in Disease and Therapy (2 papers), Extracellular vesicles in disease (2 papers), Sirtuins and Resveratrol in Medicine (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Rheumatology (237 citations), Geriatrics and Gerontology (31 citations), Pharmacology (81 citations), Cancer Research (68 citations) and Molecular Biology (229 citations). Pradeep Kumar Sacitharan has collaborated with scholars based in United Kingdom, China and Tajikistan. Frequent co-authors include James Edwards, Tonia L. Vincent, George Bou–Gharios, Alexander M. Sapozhnikov, D. Yu. Ryazantsev, Mohammad Kawsar Sharif Siam, Zarema Albakova, Rustam Ziganshin, Stuart Bevan and Clare Driscoll. Their work appears in journals such as Arthritis & Rheumatology, Experimental & Molecular Medicine, Signal Transduction and Targeted Therapy, Mammalian Genome and Frontiers in Immunology.
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.