U. Deva Priyakumar
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Organic Chemistry top 2%
- Synthesis and Properties of Aromatic Compounds
- Fullerene Chemistry and Applications
Papers in
-
- Protein Structure and Dynamics 31
- RNA and protein synthesis mechanisms 23
- DNA and Nucleic Acid Chemistry 23
-
- Machine Learning in Materials Science 26
- Co-authors
- G. Narahari Sastry (37 shared papers)Alexander D. MacKerell (11 shared papers)P. K. Vinod (4 shared papers)Rishal Aggarwal (4 shared papers)Lennart Nilsson (1 shared paper)Elizabeth J. Denning (1 shared paper)Shampa Raghunathan (10 shared papers)A. Karthikeyan (4 shared papers)
- Journals
- The Journal of Physical Chemistry B (13 papers)Physical Chemistry Chemical Physics (7 papers)Tetrahedron Letters (7 papers)Journal of Chemical Information and Modeling (6 papers)Journal of Computational Chemistry (5 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
U. Deva Priyakumar
150 papers receiving 3.8k citations
U. Deva Priyakumar's Hit Papers
Peers
Comparison fields: 5 of 144
- Computational Theory and Mathematics 782
- Organic Chemistry 1.1k
- Physical and Theoretical Chemistry 314
- Materials Chemistry 1.2k
- Molecular Biology 1.7k
Countries citing papers authored by U. Deva Priyakumar
This map shows the geographic impact of U. Deva Priyakumar'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 U. Deva Priyakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Deva Priyakumar more than expected).
Fields of papers citing papers by U. Deva Priyakumar
This network shows the impact of papers produced by U. Deva Priyakumar. 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 U. Deva Priyakumar. The network helps show where U. Deva Priyakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside U. Deva Priyakumar, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 334 | |
| 2 | MolGPT: Molecular Generation Using a Transformer-Decoder Model Hit paper breakdown → | 2021 | 326 |
| 3 | 2004 | 90 | |
| 4 | 2001 | 82 | |
| 5 | 2004 | 82 | |
| 6 | 2005 | 82 | |
| 7 | 2021 | 80 | |
| 8 | 2021 | 77 | |
| 9 | 2003 | 76 | |
| 10 | 2022 | 74 | |
| 11 | 2001 | 74 | |
| 12 | 2021 | 71 | |
| 13 | 2009 | 71 | |
| 14 | 2021 | 66 | |
| 15 | 2013 | 66 | |
| 16 | 2021 | 58 | |
| 17 | 2017 | 53 | |
| 18 | 2009 | 52 | |
| 19 | 2020 | 51 | |
| 20 | 2020 | 49 |
About U. Deva Priyakumar
U. Deva Priyakumar is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 155 papers that have together received 3.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (32 papers), Protein Structure and Dynamics (31 papers), Machine Learning in Materials Science (26 papers), RNA and protein synthesis mechanisms (23 papers), DNA and Nucleic Acid Chemistry (23 papers), Synthesis and Properties of Aromatic Compounds (20 papers), Advanced Chemical Physics Studies (15 papers) and Crystallography and molecular interactions (13 papers). The work is most often cited by research in Computational Theory and Mathematics (782 citations), Organic Chemistry (1.1k citations), Physical and Theoretical Chemistry (314 citations), Materials Chemistry (1.2k citations) and Molecular Biology (1.7k citations). U. Deva Priyakumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include G. Narahari Sastry, Alexander D. MacKerell, P. K. Vinod, Rishal Aggarwal, Lennart Nilsson, Elizabeth J. Denning, Shampa Raghunathan, A. Karthikeyan, T. C. Dinadayalane and Chinmayee Choudhury. Their work appears in journals such as The Journal of Physical Chemistry B, Physical Chemistry Chemical Physics, Tetrahedron Letters, Journal of Chemical Information and Modeling and Journal of Computational Chemistry.
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.