U. Deva Priyakumar

146 papers receiving 3.6k citations

U. Deva Priyakumar's Hit Papers

MolGPT: Molecular Generation Using a Transformer-Decoder Model 2021 · 282 citations
2820+1+3Years since publication50100150200250

Peers

U. Deva Priyakumar
Comparison fields: 5 of 145
  • Computational Theory and Mathematics 723
  • Physical and Theoretical Chemistry 308
  • Organic Chemistry 983
  • Materials Chemistry 1.1k
  • Molecular Biology 1.6k
Replace Mark P. Waller with:
Mark P. Waller Germany
Felice C. Lightstone United States
Teodoro Laino Switzerland
Gregory A. Landrum Switzerland
Kyoung Tai No South Korea
Rafael Gómez‐Bombarelli United States
Jonas Boström Sweden
Thierry Kogej Sweden
Michel A. Cuendet Switzerland
Matteo Aldeghi Germany
U. Deva Priyakumar relative to Mark P. Waller Germany Mark P. Waller's profile →
Citations per field
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Mark P. Waller · 1×
Citations per year

Countries citing papers authored by U. Deva Priyakumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with U. Deva Priyakumar Line = papers co-authored together U. Deva Priyakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011324
2
MolGPT: Molecular Generation Using a Transformer-Decoder Model
Hit paper breakdown →
2021282
3 200486
4 200182
5 200580
6 200479
7 200376
8 202174
9 200972
10 202170
11 200167
12 202263
13 201363
14 202161
15 202159
16 202154
17 201753
18 200950
19 202048
20 200547

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 151 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (32 papers), Computational Drug Discovery Methods (31 papers), Machine Learning in Materials Science (25 papers), RNA and protein synthesis mechanisms (24 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 (723 citations), Physical and Theoretical Chemistry (308 citations), Organic Chemistry (983 citations), Materials Chemistry (1.1k citations) and Molecular Biology (1.6k 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, Suresh Gorle, T. C. Dinadayalane and A. Karthikeyan. Their work appears in journals such as The Journal of Physical Chemistry B, Tetrahedron Letters, Physical Chemistry Chemical Physics, Journal of Chemical Information and Modeling and Chemical Communications.

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.

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