U. Deva Priyakumar

5.1k total citations · 1 hit paper
151 papers, 3.6k citations indexed

About

U. Deva Priyakumar is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, U. Deva Priyakumar has authored 151 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 45 papers in Materials Chemistry and 43 papers in Organic Chemistry. Recurrent topics in U. Deva Priyakumar's work include Protein Structure and Dynamics (32 papers), Computational Drug Discovery Methods (31 papers) and Machine Learning in Materials Science (25 papers). U. Deva Priyakumar is often cited by papers focused on Protein Structure and Dynamics (32 papers), Computational Drug Discovery Methods (31 papers) and Machine Learning in Materials Science (25 papers). U. Deva Priyakumar collaborates with scholars based in India, United States and Japan. U. Deva Priyakumar's co-authors include G. Narahari Sastry, Alexander D. MacKerell, P. K. Vinod, Rishal Aggarwal, Elizabeth J. Denning, Lennart Nilsson, Shampa Raghunathan, Suresh Gorle, T. C. Dinadayalane and A. Karthikeyan and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

U. Deva Priyakumar

146 papers receiving 3.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MolGPT: Molecular Generation Using a Transformer-Decoder Model

2021 282 citations P. K. Vinod, U. Deva Priyakumar et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
U. Deva Priyakumar	1.6k	1.1k	983	723	311	151	3.6k
Dean M. Philipp	1.6k 0.9×	698 0.6×	1.2k 1.2×	580 0.8×	433 1.4×	14	3.9k
Mark P. Waller	1.7k 1.0×	2.0k 1.8×	650 0.7×	1.7k 2.3×	391 1.3×	52	4.2k
Kyoung Tai No	1.3k 0.8×	704 0.6×	549 0.6×	723 1.0×	384 1.2×	167	3.1k
Gregory A. Landrum	1.7k 1.1×	1.6k 1.4×	693 0.7×	1.9k 2.7×	198 0.6×	69	4.6k
D. B. Jack	2.6k 1.6×	760 0.7×	665 0.7×	994 1.4×	659 2.1×	22	4.4k
Felice C. Lightstone	2.2k 1.3×	500 0.4×	733 0.7×	661 0.9×	463 1.5×	105	3.9k
D.J. Price	1.3k 0.8×	1.2k 1.1×	551 0.6×	466 0.6×	315 1.0×	84	4.0k
Jonas Boström	1.9k 1.2×	575 0.5×	2.3k 2.4×	1.1k 1.6×	235 0.8×	53	4.7k
Michał H. Jamróz	1.2k 0.8×	631 0.6×	1.1k 1.1×	265 0.4×	418 1.3×	75	3.5k
Anselm H. C. Horn	1.5k 0.9×	678 0.6×	765 0.8×	450 0.6×	1.0k 3.3×	65	3.9k

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-authorship network of co-authors of U. Deva Priyakumar

This figure shows the co-authorship network connecting the top 25 collaborators of U. Deva Priyakumar. A scholar is included among the top collaborators of U. Deva Priyakumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with U. Deva Priyakumar. U. Deva Priyakumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Varma, Girish, et al.. (2025). Leveraging high-spin DFT features for prediction of spin state gaps in 3d transition metal complexes. Physical Chemistry Chemical Physics. 27(38). 20717–20725.

Rao, H. Surya Prakash, et al.. (2025). Dissecting errors in machine learning for retrosynthesis: a granular metric framework and a transformer-based model for more informative predictions. Digital Discovery. 4(3). 831–845. 1 indexed citations

Priyakumar, U. Deva, et al.. (2025). Modern machine learning methods for protein property prediction. Current Opinion in Structural Biology. 90. 102990–102990. 4 indexed citations

Priyakumar, U. Deva, et al.. (2024). Spectra to structure: contrastive learning framework for library ranking and generating molecular structures for infrared spectra. Digital Discovery. 3(12). 2417–2423. 3 indexed citations

Priyakumar, U. Deva, et al.. (2024). Generative artificial intelligence for small molecule drug design. Current Opinion in Biotechnology. 89. 103175–103175. 10 indexed citations

Nagamani, Selvaraman, Asheesh Kumar, N. Arul Murugan, et al.. (2024). Molecular Property Diagnostic Suite for COVID-19 (MPDSCOVID-19): an open-source disease-specific drug discovery portal. SHILAP Revista de lepidopterología. 2024. 1–17. 2 indexed citations

Srivastava, Rakesh, et al.. (2024). PLAS-20k: Extended Dataset of Protein-Ligand Affinities from MD Simulations for Machine Learning Applications. Scientific Data. 11(1). 180–180. 16 indexed citations

Mehta, Sarvesh, et al.. (2024). DeepSPInN – deep reinforcement learning for molecular structure prediction from infrared and ¹³ C NMR spectra. Digital Discovery. 3(4). 818–829. 9 indexed citations

Priyakumar, U. Deva, et al.. (2023). PREHOST: Host prediction of coronaviridae family using machine learning. Heliyon. 9(2). e13646–e13646. 1 indexed citations

10.

Joshi, Kavita, et al.. (2023). MeGen - generation of gallium metal clusters using reinforcement learning. Machine Learning Science and Technology. 4(2). 25032–25032. 6 indexed citations

11.

Priyakumar, U. Deva, et al.. (2023). A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features. Computing in cardiology. 50. 1 indexed citations

12.

Mohareer, Krishnaveni, U. Deva Priyakumar, Tom Luedde, et al.. (2022). Staufen‐2 functions as a cofactor for enhanced Rev‐mediated nucleocytoplasmic trafficking of HIV ‐1 genomic RNA via the CRM1 pathway. FEBS Journal. 289(21). 6731–6751. 3 indexed citations

13.

Choudhury, Chinmayee, N. Arul Murugan, & U. Deva Priyakumar. (2022). Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods. Drug Discovery Today. 27(7). 1847–1861. 63 indexed citations

14.

Chrysochos, Nicolas, Hemant Rawat, Ivo Krummenacher, et al.. (2021). Synthesis and reactivity of NHC-coordinated phosphinidene oxide. Chemical Communications. 57(75). 9546–9549. 11 indexed citations

15.

Raghunathan, Shampa, et al.. (2020). Transition between [ R ]- and [ S ]-stereoisomers without bond breaking. Physical Chemistry Chemical Physics. 22(26). 14983–14991. 10 indexed citations

16.

Kumar, Sandeep, Jyoti Thakur, Kavita Yadav, et al.. (2019). Cholic Acid-Derived Amphiphile which Combats Gram-Positive Bacteria-Mediated Infections via Disintegration of Lipid Clusters. ACS Biomaterials Science & Engineering. 5(9). 4764–4775. 25 indexed citations

17.

Bung, Navneet, Arijit Roy, U. Deva Priyakumar, & Gopalakrishnan Bulusu. (2019). Computational modeling of the catalytic mechanism of hydroxymethylbilane synthase. Physical Chemistry Chemical Physics. 21(15). 7932–7940. 3 indexed citations

18.

Priyakumar, U. Deva, et al.. (2019). Energetic, Structural and Dynamic Properties of Nucleobase-Urea Interactions that Aid in Urea Assisted RNA Unfolding. Scientific Reports. 9(1). 8805–8805. 8 indexed citations

19.

Vibhute, Amol M., U. Deva Priyakumar, Arthi Ravi, & Kana M. Sureshan. (2018). Model molecules to classify CH⋯O hydrogen-bonds. Chemical Communications. 54(36). 4629–4632. 22 indexed citations

20.

Padhi, Siladitya & U. Deva Priyakumar. (2016). Microsecond simulation of human aquaporin 2 reveals structural determinants of water permeability and selectivity. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(1). 10–16. 19 indexed citations

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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