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
-
- Glycosylation and Glycoproteins Research 7
-
- Microfluidic and Bio-sensing Technologies 8
- 3D Printing in Biomedical Research 5
- Molecular Communication and Nanonetworks 4
- Co-authors
- Mina J. Bissell (6 shared papers)Deepak Kumar Saini (10 shared papers)Ambarish Ghosh (9 shared papers)Anumeha Singh (1 shared paper)Sandeep M. Eswarappa (1 shared paper)Ana Luísa Correia (2 shared papers)Qian Chen (1 shared paper)A. Paul Alivisatos (1 shared paper)
- Journals
- Scientific Reports (2 papers)Life Science Alliance (2 papers)Proceedings of the National Academy of Sciences (2 papers)ACS Nano (2 papers)Small (2 papers)
- Partner nations
- IndiaUnited StatesBrazil
In The Last Decade
Ramray Bhat
34 papers receiving 646 citations
Peers
Comparison fields: 5 of 88
- Condensed Matter Physics 218
- Biomedical Engineering 313
- Cell Biology 80
- Molecular Biology 244
- Cancer Research 53
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2015 | 90 | |
| 3 | 2013 | 52 | |
| 4 | 2020 | 47 | |
| 5 | 2016 | 44 | |
| 6 | 2020 | 37 | |
| 7 | 2017 | 28 | |
| 8 | 2021 | 26 | |
| 9 | 2022 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2014 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 5 |
About Ramray Bhat
Ramray Bhat is a scholar working on Molecular Biology, Biomedical Engineering, Cell Biology, Oncology and Condensed Matter Physics, having authored 37 papers that have together received 652 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Cellular Mechanics and Interactions (9 papers), Micro and Nano Robotics (9 papers), Microfluidic and Bio-sensing Technologies (8 papers), Glycosylation and Glycoproteins Research (7 papers), 3D Printing in Biomedical Research (5 papers), Galectins and Cancer Biology (4 papers) and Molecular Communication and Nanonetworks (4 papers). The work is most often cited by research in Condensed Matter Physics (218 citations), Biomedical Engineering (313 citations), Cell Biology (80 citations), Molecular Biology (244 citations) and Cancer Research (53 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, Anumeha Singh, Sandeep M. Eswarappa, Ana Luísa Correia, Qian Chen, A. Paul Alivisatos, Somin Eunice Lee and Jessica M. Smith. Their work appears in journals such as Scientific Reports, Life Science Alliance, Proceedings of the National Academy of Sciences, ACS Nano 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.