Arvind Ramanathan
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 29
-
- Topic Modeling 6
- Co-authors
- Pratul K. Agarwal (14 shared papers)Chakra S. Chennubhotla (9 shared papers)Andrej Savol (7 shared papers)Jason B. Castro (1 shared paper)Christopher J. Langmead (8 shared papers)Shang Gao (5 shared papers)Georgia D. Tourassi (7 shared papers)Laura Pullum (19 shared papers)
- Journals
- Biophysical Journal (5 papers)PLoS ONE (5 papers)European Journal of Dentistry (4 papers)Journal of Chemical Theory and Computation (3 papers)BMC Bioinformatics (3 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Arvind Ramanathan
126 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 160
- Sensory Systems 90
- Molecular Biology 982
- Computational Theory and Mathematics 196
- Periodontics 45
- Health Informatics 13
Countries citing papers authored by Arvind Ramanathan
This map shows the geographic impact of Arvind Ramanathan'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 Arvind Ramanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Ramanathan more than expected).
Fields of papers citing papers by Arvind Ramanathan
This network shows the impact of papers produced by Arvind Ramanathan. 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 Arvind Ramanathan. The network helps show where Arvind Ramanathan may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Ramanathan, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2011 | 91 | |
| 3 | 2013 | 87 | |
| 4 | 2001 | 71 | |
| 5 | 2015 | 70 | |
| 6 | 2010 | 63 | |
| 7 | 2018 | 57 | |
| 8 | 2019 | 53 | |
| 9 | 2011 | 52 | |
| 10 | 2019 | 51 | |
| 11 | 2018 | 46 | |
| 12 | 2021 | 45 | |
| 13 | 2010 | 45 | |
| 14 | 2009 | 44 | |
| 15 | 2019 | 44 | |
| 16 | 2017 | 41 | |
| 17 | 2021 | 37 | |
| 18 | 2021 | 36 | |
| 19 | 2018 | 33 | |
| 20 | 2019 | 33 |
About Arvind Ramanathan
Arvind Ramanathan is a scholar working on Molecular Biology, Artificial Intelligence, Epidemiology, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 134 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (29 papers), Data-Driven Disease Surveillance (9 papers), COVID-19 epidemiological studies (8 papers), Cell Image Analysis Techniques (7 papers), Enzyme Structure and Function (7 papers), Topic Modeling (6 papers), Scientific Computing and Data Management (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Sensory Systems (90 citations), Molecular Biology (982 citations), Computational Theory and Mathematics (196 citations), Periodontics (45 citations) and Health Informatics (13 citations). Arvind Ramanathan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Pratul K. Agarwal, Chakra S. Chennubhotla, Andrej Savol, Jason B. Castro, Christopher J. Langmead, Shang Gao, Georgia D. Tourassi, Laura Pullum, Debsindhu Bhowmik and M. Todd Young. Their work appears in journals such as Biophysical Journal, PLoS ONE, European Journal of Dentistry, Journal of Chemical Theory and Computation and BMC Bioinformatics.
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.