Ramray Bhat
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Developmental Biology and Gene Regulation 9
- Wnt/β-catenin signaling in development and cancer 4
- Cell Biology 11
- Cellular Mechanics and Interactions 10
- Co-authors
- Stuart A. Newman (11 shared papers)Tilmann Glimm (7 shared papers)Mohit Kumar Jolly (2 shared papers)Herbert Kaltner (1 shared paper)Hong Peng (1 shared paper)Hans‐Joachim Gabius (1 shared paper)Kenneth M. Lerea (1 shared paper)Thomas A. Stewart (2 shared papers)
- Journals
- Journal of Biosciences (2 papers)Journal of Theoretical Biology (2 papers)Evolution & Development (1 paper)BMC Developmental Biology (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Ramray Bhat
23 papers receiving 597 citations
Peers
Comparison fields: 5 of 100
- Cell Biology 131
- History and Philosophy of Science 32
- Modeling and Simulation 28
- Aging 9
- Paleontology 36
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 138 | |
| 2 | 2008 | 78 | |
| 3 | 2007 | 57 | |
| 4 | 2011 | 53 | |
| 5 | 2019 | 46 | |
| 6 | 2013 | 29 | |
| 7 | 2009 | 24 | |
| 8 | 2019 | 24 | |
| 9 | 2021 | 22 | |
| 10 | 2017 | 17 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2012 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2014 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2014 | 7 | |
| 20 | 2024 | 6 |
About Ramray Bhat
Ramray Bhat is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Genetics, having authored 24 papers that have together received 613 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), Mathematical Biology Tumor Growth (2 papers), Marine Invertebrate Physiology and Ecology (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Cell Biology (131 citations), History and Philosophy of Science (32 citations), Modeling and Simulation (28 citations), Aging (9 citations) and Paleontology (36 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, Herbert Kaltner, Hong Peng, Hans‐Joachim Gabius, Kenneth M. Lerea, Thomas A. Stewart, Mahul Chakraborty and Jean Paul Thiery. Their work appears in journals such as Journal of Biosciences, Journal of Theoretical Biology, Evolution & Development, BMC Developmental Biology and Frontiers in Physiology.
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.