Pradip Sinha
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Developmental Biology and Gene Regulation 8
- Wnt/β-catenin signaling in development and cancer 4
- Genomics and Chromatin Dynamics 4
- Cell Biology 18
- Hippo pathway signaling and YAP/TAZ 14
- Cellular Mechanics and Interactions 5
- Co-authors
- Namita Agrawal (7 shared papers)Balram Dubey (5 shared papers)J. Prakash (3 shared papers)J.B. Shukla (6 shared papers)S. C. Lakhotia (5 shared papers)Peeyush Chandra (6 shared papers)Manish Jaiswal (1 shared paper)Sanjeev Sharma (1 shared paper)
- Journals
- Scientific Reports (5 papers)Acta Mechanica (5 papers)Developmental Biology (4 papers)Chromosoma (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Pradip Sinha
60 papers receiving 828 citations
Peers
Comparison fields: 5 of 113
- Cell Biology 211
- Aging 16
- Modeling and Simulation 33
- Molecular Biology 413
- Cellular and Molecular Neuroscience 85
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 65 | |
| 2 | 1995 | 61 | |
| 3 | 2000 | 55 | |
| 4 | 2006 | 49 | |
| 5 | 2001 | 42 | |
| 6 | 1999 | 37 | |
| 7 | 1997 | 34 | |
| 8 | 1976 | 32 | |
| 9 | 2013 | 31 | |
| 10 | 2002 | 25 | |
| 11 | 2003 | 22 | |
| 12 | 1983 | 21 | |
| 13 | 1976 | 21 | |
| 14 | 1976 | 20 | |
| 15 | 1995 | 19 | |
| 16 | 2001 | 19 | |
| 17 | 1993 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 1987 | 17 | |
| 20 | 2019 | 16 |
About Pradip Sinha
Pradip Sinha is a scholar working on Molecular Biology, Cell Biology, Mechanical Engineering, Genetics and Plant Science, having authored 63 papers that have together received 863 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (14 papers), Tribology and Lubrication Engineering (13 papers), Developmental Biology and Gene Regulation (8 papers), Gear and Bearing Dynamics Analysis (7 papers), Cellular Mechanics and Interactions (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Network Security and Intrusion Detection (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Cell Biology (211 citations), Aging (16 citations), Modeling and Simulation (33 citations), Molecular Biology (413 citations) and Cellular and Molecular Neuroscience (85 citations). Pradip Sinha has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Namita Agrawal, Balram Dubey, J. Prakash, J.B. Shukla, S. C. Lakhotia, Peeyush Chandra, Manish Jaiswal, Sanjeev Sharma, Bernard M. Mechler and Heide Schenkel. Their work appears in journals such as Scientific Reports, Acta Mechanica, Developmental Biology, Chromosoma and Proceedings of the National Academy of Sciences.
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.