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

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 →

Peers

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

#	Work	Indexed citations
1	Leveraging high-spin DFT features for prediction of spin state gaps in 3d transition metal complexes 2025 ·Physical Chemistry Chemical Physics ·(unknown), (unknown), Girish Varma, U. Deva Priyakumar, Ankan Paul	0
2	Dissecting errors in machine learning for retrosynthesis: a granular metric framework and a transformer-based model for more informative predictions 2025 ·Digital Discovery ·(unknown), H. Surya Prakash Rao, U. Deva Priyakumar	1
3	Spectra to structure: contrastive learning framework for library ranking and generating molecular structures for infrared spectra 2024 ·Digital Discovery ·(unknown), (unknown), U. Deva Priyakumar	3
4	Generative artificial intelligence for small molecule drug design 2024 ·Current Opinion in Biotechnology ·(unknown), (unknown), (unknown), U. Deva Priyakumar	10
5	Molecular Property Diagnostic Suite for COVID-19 (MPDSCOVID-19): an open-source disease-specific drug discovery portal 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Selvaraman Nagamani, (unknown), (unknown), (unknown), (unknown), Asheesh Kumar, (unknown), (unknown), (unknown), N. Arul Murugan, U. Deva Priyakumar, Gajendra P. S. Raghava, Prasad V. Bharatam, Ramakrishnan Parthasarathi, V. Subramanian, G. Madhavi Sastry, G. Narahari Sastry	2
6	PREHOST: Host prediction of coronaviridae family using machine learning 2023 ·Heliyon ·(unknown), (unknown), U. Deva Priyakumar, P. K. Vinod	1
7	A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features 2023 ·Computing in cardiology ·(unknown), (unknown), (unknown), U. Deva Priyakumar	1
8	Staufen‐2 functions as a cofactor for enhanced Rev‐mediated nucleocytoplasmic trafficking of HIV ‐1 genomic RNA via the CRM1 pathway 2022 ·FEBS Journal ·(unknown), (unknown), Krishnaveni Mohareer, U. Deva Priyakumar, (unknown), Tom Luedde, Shekhar C. Mande, Carsten Münk, Sharmistha Banerjee	3
9	PLAS-5k: Dataset of Protein-Ligand Affinities from Molecular Dynamics for Machine Learning Applications 2022 ·Scientific Data ·(unknown), (unknown), (unknown), (unknown), (unknown), Sarvesh Mehta, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Agastya P. Bhati, Divya Nayar, U. Deva Priyakumar	16
10	MO-MEMES: A method for accelerating virtual screening using multi-objective Bayesian optimization 2022 ·Frontiers in Medicine ·Sarvesh Mehta, (unknown), U. Deva Priyakumar	4
11	Synthesis and reactivity of NHC-coordinated phosphinidene oxide 2021 ·Chemical Communications ·(unknown), (unknown), (unknown), Nicolas Chrysochos, Hemant Rawat, (unknown), Ivo Krummenacher, Holger Braunschweig, Carola Schulzke, Vadapalli Chandrasekhar, U. Deva Priyakumar, Anukul Jana	11
12	Host metabolic reprogramming in response to SARS-CoV-2 infection: A systems biology approach 2021 ·Microbial Pathogenesis ·(unknown), (unknown), Ruchi Chauhan, U. Deva Priyakumar, P. K. Vinod	54
13	Transition between [ R ]- and [ S ]-stereoisomers without bond breaking 2020 ·Physical Chemistry Chemical Physics ·Shampa Raghunathan, (unknown), (unknown), (unknown), (unknown), (unknown), Upakarasamy Lourderaj, U. Deva Priyakumar	10
14	Cholic Acid-Derived Amphiphile which Combats Gram-Positive Bacteria-Mediated Infections via Disintegration of Lipid Clusters 2019 ·ACS Biomaterials Science & Engineering ·Sandeep Kumar, Jyoti Thakur, Kavita Yadav, (unknown), Sanjay Pal, Arjun Ray, Siddhi Gupta, (unknown), (unknown), Deepakkumar Mishra, (unknown), Siladitya Padhi, Priyanka Sharma, Arti Kapil, Aasheesh Srivastava, U. Deva Priyakumar, Ujjaini Dasgupta, Lipi Thukral, Avinash Bajaj	25
15	Computational modeling of the catalytic mechanism of hydroxymethylbilane synthase 2019 ·Physical Chemistry Chemical Physics ·Navneet Bung, Arijit Roy, U. Deva Priyakumar, Gopalakrishnan Bulusu	3
16	Selectivity and transport in aquaporins from molecular simulation studies 2019 ·Vitamins and hormones ·Siladitya Padhi, U. Deva Priyakumar	6
17	Energetic, Structural and Dynamic Properties of Nucleobase-Urea Interactions that Aid in Urea Assisted RNA Unfolding 2019 ·Scientific Reports ·(unknown), (unknown), (unknown), U. Deva Priyakumar	8
18	Model molecules to classify CH⋯O hydrogen-bonds 2018 ·Chemical Communications ·Amol M. Vibhute, U. Deva Priyakumar, Arthi Ravi, Kana M. Sureshan	22
19	Sumoylation of Sir2 differentially regulates transcriptional silencing in yeast 2015 ·Nucleic Acids Research ·(unknown), (unknown), (unknown), (unknown), U. Deva Priyakumar, Krishnaveni Mishra	20
20	Inclusion of methoxy groups inverts the thermodynamic stabilities of DNA–RNA hybrid duplexes: A molecular dynamics simulation study 2015 ·Journal of Molecular Graphics and Modelling ·Suresh Gorle, U. Deva Priyakumar	3

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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