Pradip Sinha
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Aging top 10%
Papers in
- Cell Biology 17
- Hippo pathway signaling and YAP/TAZ 12
- Cellular Mechanics and Interactions 5
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- Developmental Biology and Gene Regulation 8
- Genomics and Chromatin Dynamics 3
- Signaling Pathways in Disease 3
- Co-authors
- Namita Agrawal (6 shared papers)Balram Dubey (5 shared papers)J. Prakash (3 shared papers)J.B. Shukla (6 shared papers)Subhash Lakhotia (5 shared papers)Peeyush Chandra (6 shared papers)Sanjeev Sharma (1 shared paper)Bernard M. Mechler (3 shared papers)
- Journals
- Acta Mechanica (5 papers)Developmental Biology (4 papers)Chromosoma (4 papers)Proceedings of the National Academy of Sciences (2 papers)Tribology International (2 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Pradip Sinha
54 papers receiving 888 citations
Peers
Comparison fields: 5 of 107
- Cell Biology 247
- Aging 22
- Modeling and Simulation 33
- Molecular Biology 465
- Cellular and Molecular Neuroscience 100
Countries citing papers authored by Pradip Sinha
This map shows the geographic impact of Pradip Sinha'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 Pradip Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradip Sinha more than expected).
Fields of papers citing papers by Pradip Sinha
This network shows the impact of papers produced by Pradip Sinha. 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 Pradip Sinha. The network helps show where Pradip Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradip Sinha, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 68 | |
| 2 | 2000 | 62 | |
| 3 | 1995 | 61 | |
| 4 | 2000 | 53 | |
| 5 | 2006 | 49 | |
| 6 | 2001 | 43 | |
| 7 | 1999 | 40 | |
| 8 | 1997 | 37 | |
| 9 | 1976 | 35 | |
| 10 | 2013 | 31 | |
| 11 | 2002 | 25 | |
| 12 | 1983 | 22 | |
| 13 | 2003 | 22 | |
| 14 | 1976 | 21 | |
| 15 | 1976 | 20 | |
| 16 | 1993 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2001 | 19 | |
| 19 | 1987 | 19 | |
| 20 | 1995 | 17 |
About Pradip Sinha
Pradip Sinha is a scholar working on Cell Biology, Molecular Biology, Mechanical Engineering, Genetics and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 922 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (12 papers), Hippo pathway signaling and YAP/TAZ (12 papers), Developmental Biology and Gene Regulation (8 papers), Gear and Bearing Dynamics Analysis (7 papers), Cellular Mechanics and Interactions (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Genomics and Chromatin Dynamics (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Cell Biology (247 citations), Aging (22 citations), Modeling and Simulation (33 citations), Molecular Biology (465 citations) and Cellular and Molecular Neuroscience (100 citations). Pradip Sinha has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Namita Agrawal, Balram Dubey, J. Prakash, J.B. Shukla, Subhash Lakhotia, Peeyush Chandra, Sanjeev Sharma, Bernard M. Mechler, Manish Jaiswal and L. S. Shashidhara. Their work appears in journals such as Acta Mechanica, Developmental Biology, Chromosoma, Proceedings of the National Academy of Sciences and Tribology International.
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.