Devlina Chakravarty
Impact in
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Protein Interaction Studies and Fluorescence Analysis
- Machine Learning in Bioinformatics
Papers in
-
- Protein Structure and Dynamics 14
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 3
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- Enzyme Structure and Function 8
- Co-authors
- Lauren L. Porter (6 shared papers)Pinak Chakrabarti (11 shared papers)Soumyananda Chakraborti (3 shared papers)Virendra Shanker (1 shared paper)Z. A. Ansari (1 shared paper)Prachi Joshi (1 shared paper)Surinder P. Singh (1 shared paper)Joseph W. Schafer (3 shared papers)
- Journals
- Protein Science (4 papers)Nature Communications (3 papers)Nucleic Acids Research (2 papers)Biochemistry (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Devlina Chakravarty
23 papers receiving 685 citations
Devlina Chakravarty's Hit Papers
Peers
Comparison fields: 5 of 103
- Orthopedics and Sports Medicine 62
- Molecular Biology 450
- Structural Biology 6
- Biomaterials 48
- Computational Theory and Mathematics 52
Countries citing papers authored by Devlina Chakravarty
This map shows the geographic impact of Devlina Chakravarty'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 Devlina Chakravarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devlina Chakravarty more than expected).
Fields of papers citing papers by Devlina Chakravarty
This network shows the impact of papers produced by Devlina Chakravarty. 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 Devlina Chakravarty. The network helps show where Devlina Chakravarty may publish in the future.
Co-authors
The 25 scholars most cited alongside Devlina Chakravarty, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 141 | |
| 2 | 2022 | 116 | |
| 3 | 2008 | 101 | |
| 4 | AlphaFold predictions of fold-switched conformations are driven by structure memorization Hit paper breakdown → | 2024 | 69 |
| 5 | 2022 | 53 | |
| 6 | 2013 | 31 | |
| 7 | 2012 | 26 | |
| 8 | 2023 | 21 | |
| 9 | 2015 | 21 | |
| 10 | 2023 | 16 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 11 | |
| 14 | 2025 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2012 | 7 |
About Devlina Chakravarty
Devlina Chakravarty is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Oncology and Organic Chemistry, having authored 23 papers that have together received 703 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (8 papers), RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (3 papers), Vibrio bacteria research studies (2 papers), Biotin and Related Studies (2 papers), Computational Drug Discovery Methods (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (62 citations), Molecular Biology (450 citations), Structural Biology (6 citations), Biomaterials (48 citations) and Computational Theory and Mathematics (52 citations). Devlina Chakravarty has collaborated with scholars based in India, United States and France. Frequent co-authors include Lauren L. Porter, Pinak Chakrabarti, Soumyananda Chakraborti, Virendra Shanker, Z. A. Ansari, Prachi Joshi, Surinder P. Singh, Joseph W. Schafer, Afsaneh Keramat and Bhushan Patwardhan. Their work appears in journals such as Protein Science, Nature Communications, Nucleic Acids Research, Biochemistry and Proteins Structure Function and 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.