Ramray Bhat
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
- Cell Biology 11
- Cellular Mechanics and Interactions 10
- Hippo pathway signaling and YAP/TAZ 2
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- Developmental Biology and Gene Regulation 9
- Wnt/β-catenin signaling in development and cancer 4
- Co-authors
- Stuart A. Newman (17 shared papers)Tilmann Glimm (7 shared papers)Mohit Kumar Jolly (2 shared papers)Thomas A. Stewart (2 shared papers)Hans‐Joachim Gabius (1 shared paper)Herbert Kaltner (1 shared paper)Hong Peng (1 shared paper)Kenneth M. Lerea (1 shared paper)
- Journals
- Journal of Theoretical Biology (2 papers)Journal of Biosciences (2 papers)Physical Biology (1 paper)Biophysical Journal (1 paper)The Quarterly Review of Biology (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Ramray Bhat
24 papers receiving 665 citations
Peers
Comparison fields: 5 of 106
- History and Philosophy of Science 48
- Cell Biology 138
- Modeling and Simulation 31
- Aging 11
- Paleontology 45
Countries citing papers authored by Ramray Bhat
This map shows the geographic impact of Ramray Bhat'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 Ramray Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramray Bhat more than expected).
Fields of papers citing papers by Ramray Bhat
This network shows the impact of papers produced by Ramray Bhat. 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 Ramray Bhat. The network helps show where Ramray Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramray Bhat, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 161 | |
| 2 | 2008 | 91 | |
| 3 | 2007 | 60 | |
| 4 | 2011 | 55 | |
| 5 | 2019 | 52 | |
| 6 | 2013 | 29 | |
| 7 | 2009 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2017 | 21 | |
| 11 | 2018 | 19 | |
| 12 | 2019 | 18 | |
| 13 | 2012 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2014 | 12 | |
| 16 | 2011 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2020 | 9 | |
| 20 | 2024 | 8 |
About Ramray Bhat
Ramray Bhat is a scholar working on Cell Biology, Molecular Biology, Oncology, Immunology and Modeling and Simulation, having authored 25 papers that have together received 700 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (10 papers), Developmental Biology and Gene Regulation (9 papers), Cancer Cells and Metastasis (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Galectins and Cancer Biology (3 papers), Evolution and Genetic Dynamics (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in History and Philosophy of Science (48 citations), Cell Biology (138 citations), Modeling and Simulation (31 citations), Aging (11 citations) and Paleontology (45 citations). Ramray Bhat has collaborated with scholars based in United States, India and France. Frequent co-authors include Stuart A. Newman, Tilmann Glimm, Mohit Kumar Jolly, Thomas A. Stewart, Hans‐Joachim Gabius, Herbert Kaltner, Hong Peng, Kenneth M. Lerea, Mahul Chakraborty and Cheng Cui. Their work appears in journals such as Journal of Theoretical Biology, Journal of Biosciences, Physical Biology, Biophysical Journal and The Quarterly Review of Biology.
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.