Ramray Bhat
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Biomedical Engineering top 10%
- Microfluidic and Bio-sensing Technologies
- Molecular Communication and Nanonetworks
Papers in
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- Glycosylation and Glycoproteins Research 8
-
- Microfluidic and Bio-sensing Technologies 7
- 3D Printing in Biomedical Research 5
- Co-authors
- Mina J. Bissell (6 shared papers)Deepak Kumar Saini (10 shared papers)Ambarish Ghosh (9 shared papers)Sandeep M. Eswarappa (1 shared paper)Anumeha Singh (1 shared paper)Ana Luísa Correia (2 shared papers)Somin Eunice Lee (1 shared paper)Qian Chen (1 shared paper)
- Journals
- Life Science Alliance (2 papers)Scientific Reports (2 papers)ACS Nano (2 papers)Proceedings of the National Academy of Sciences (2 papers)Small (2 papers)
- Partner nations
- IndiaUnited StatesBrazil
In The Last Decade
Ramray Bhat
36 papers receiving 690 citations
Peers
Comparison fields: 5 of 90
- Condensed Matter Physics 223
- Biomedical Engineering 322
- Cell Biology 86
- Oncology 94
- Immunology 74
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 148 | |
| 2 | 2015 | 93 | |
| 3 | 2013 | 60 | |
| 4 | 2020 | 49 | |
| 5 | 2016 | 47 | |
| 6 | 2020 | 38 | |
| 7 | 2017 | 31 | |
| 8 | 2021 | 27 | |
| 9 | 2022 | 21 | |
| 10 | 2015 | 19 | |
| 11 | 2016 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2023 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2019 | 6 |
About Ramray Bhat
Ramray Bhat is a scholar working on Molecular Biology, Biomedical Engineering, Cell Biology, Oncology and Condensed Matter Physics, having authored 39 papers that have together received 699 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Glycosylation and Glycoproteins Research (8 papers), Cancer Cells and Metastasis (8 papers), Micro and Nano Robotics (8 papers), Microfluidic and Bio-sensing Technologies (7 papers), Galectins and Cancer Biology (5 papers), 3D Printing in Biomedical Research (5 papers) and Proteoglycans and glycosaminoglycans research (4 papers). The work is most often cited by research in Condensed Matter Physics (223 citations), Biomedical Engineering (322 citations), Cell Biology (86 citations), Oncology (94 citations) and Immunology (74 citations). Ramray Bhat has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Mina J. Bissell, Deepak Kumar Saini, Ambarish Ghosh, Sandeep M. Eswarappa, Anumeha Singh, Ana Luísa Correia, Somin Eunice Lee, Qian Chen, Jessica M. Smith and Vivian E. Ferry. Their work appears in journals such as Life Science Alliance, Scientific Reports, ACS Nano, Proceedings of the National Academy of Sciences and Small.
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.