Ramya Rangan
Impact in
- Structural Biology top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Protein Structure and Dynamics
- Advanced biosensing and bioanalysis techniques
Papers in
-
- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 9
- RNA Research and Splicing 6
- Protein Structure and Dynamics 2
- DNA Repair Mechanisms 1
- Ecology 3
- Bacteriophages and microbial interactions 3
- Co-authors
- Rhiju Das (13 shared papers)Andrew M. Watkins (4 shared papers)Ivan N. Zheludev (4 shared papers)Stephan Eismann (1 shared paper)Ron O. Dror (1 shared paper)Raphael J.L. Townshend (1 shared paper)Masha Karelina (1 shared paper)Rachel J. Hagey (2 shared papers)
- Journals
- Nature Methods (2 papers)Nature Structural & Molecular Biology (2 papers)Nature (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ramya Rangan
16 papers receiving 1.3k citations
Ramya Rangan's Hit Papers
Peers
Comparison fields: 5 of 88
- Structural Biology 56
- Molecular Biology 1.1k
- Infectious Diseases 185
- Aging 17
- Cardiology and Cardiovascular Medicine 100
Countries citing papers authored by Ramya Rangan
This map shows the geographic impact of Ramya Rangan'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 Ramya Rangan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Rangan more than expected).
Fields of papers citing papers by Ramya Rangan
This network shows the impact of papers produced by Ramya Rangan. 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 Ramya Rangan. The network helps show where Ramya Rangan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramya Rangan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Geometric deep learning of RNA structure Hit paper breakdown → | 2021 | 250 |
| 2 | 2020 | 175 | |
| 3 | 2020 | 162 | |
| 4 | 2021 | 133 | |
| 5 | 2020 | 124 | |
| 6 | 2021 | 117 | |
| 7 | 2023 | 84 | |
| 8 | 2021 | 69 | |
| 9 | 2021 | 53 | |
| 10 | 2018 | 47 | |
| 11 | 2023 | 39 | |
| 12 | 2024 | 17 | |
| 13 | 2024 | 14 | |
| 14 | 2022 | 11 | |
| 15 | 2020 | 8 | |
| 16 | 2025 | 2 |
About Ramya Rangan
Ramya Rangan is a scholar working on Molecular Biology, Ecology, Structural Biology, Materials Chemistry and Infectious Diseases, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (6 papers), Bacteriophages and microbial interactions (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Cancer-related molecular mechanisms research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Structural Biology (56 citations), Molecular Biology (1.1k citations), Infectious Diseases (185 citations), Aging (17 citations) and Cardiology and Cardiovascular Medicine (100 citations). Ramya Rangan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Rhiju Das, Andrew M. Watkins, Ivan N. Zheludev, Stephan Eismann, Ron O. Dror, Raphael J.L. Townshend, Masha Karelina, Rachel J. Hagey, Edward A. Pham and Jeffrey S. Glenn. Their work appears in journals such as Nature Methods, Nature Structural & Molecular Biology, Nature, Proteins Structure Function and Bioinformatics and Journal of Chemical Theory and Computation.
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.