Deeptak Verma

1.9k total citations
30 papers, 657 citations indexed

About

Deeptak Verma is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Deeptak Verma has authored 30 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Organic Chemistry. Recurrent topics in Deeptak Verma's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Structure and Dynamics (5 papers) and HIV Research and Treatment (4 papers). Deeptak Verma is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Structure and Dynamics (5 papers) and HIV Research and Treatment (4 papers). Deeptak Verma collaborates with scholars based in United States, India and Austria. Deeptak Verma's co-authors include Dennis R. Livesay, Donald J. Jacobs, Chris Bailey‐Kellogg, Karl E. Griswold, Nicholas Marshall, Yuting Xu, Andy Liaw, Pradeep Kumar Naik, Robert P. Sheridan and Yuxuan Ye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Catalysis.

In The Last Decade

Deeptak Verma

27 papers receiving 645 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deeptak Verma United States 14 428 117 93 74 65 30 657
Sachin Surade United Kingdom 14 485 1.1× 87 0.7× 92 1.0× 66 0.9× 126 1.9× 18 672
Divita Garg Germany 11 427 1.0× 130 1.1× 48 0.5× 33 0.4× 57 0.9× 19 591
Behzad Jafari Iran 12 232 0.5× 147 1.3× 68 0.7× 27 0.4× 43 0.7× 42 572
Solmaz Sobhanifar Canada 12 599 1.4× 81 0.7× 84 0.9× 94 1.3× 16 0.2× 14 845
Sandra Lightle United States 10 279 0.7× 96 0.8× 42 0.5× 75 1.0× 40 0.6× 10 469
J. Wielens Australia 14 516 1.2× 82 0.7× 58 0.6× 63 0.9× 107 1.6× 17 740
S. Kumaran India 16 740 1.7× 75 0.6× 47 0.5× 105 1.4× 37 0.6× 41 1.0k
Jérôme de Ruyck France 14 378 0.9× 172 1.5× 24 0.3× 86 1.2× 128 2.0× 35 703
Bruce A. Beutel United States 17 691 1.6× 158 1.4× 40 0.4× 90 1.2× 121 1.9× 28 959
Brent M. Dorr United States 12 965 2.3× 116 1.0× 147 1.6× 83 1.1× 72 1.1× 14 1.2k

Countries citing papers authored by Deeptak Verma

Since Specialization
Citations

This map shows the geographic impact of Deeptak Verma'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 Deeptak Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeptak Verma more than expected).

Fields of papers citing papers by Deeptak Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deeptak Verma. 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 Deeptak Verma. The network helps show where Deeptak Verma may publish in the future.

Co-authorship network of co-authors of Deeptak Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Deeptak Verma. A scholar is included among the top collaborators of Deeptak Verma 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 Deeptak Verma. Deeptak Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tsai, Chun‐Yi, et al.. (2025). Profiling of Diverse Pyridoxal-5′-Phosphate Dependent Enzymes Reveals Promiscuous Aldolase Activity with (2-Azaaryl)methanamines. Journal of the American Chemical Society. 147(29). 25191–25200.
2.
Verma, Deeptak, Shin-Ichiro Miyashita, Susan K. Eszterhas, et al.. (2023). Functional Deimmunization of Botulinum Neurotoxin Protease Domain via Computationally Driven Library Design and Ultrahigh-Throughput Screening. ACS Synthetic Biology. 12(1). 153–163. 2 indexed citations
3.
Sankaranarayanan, Karthik, Esther Heid, Connor W. Coley, et al.. (2022). Similarity based enzymatic retrosynthesis. Chemical Science. 13(20). 6039–6053. 21 indexed citations
4.
Ye, Yuxuan, Jingzhe Cao, Daniel G. Oblinsky, et al.. (2022). Using enzymes to tame nitrogen-centred radicals for enantioselective hydroamination. Nature Chemistry. 15(2). 206–212. 101 indexed citations
5.
Hsu, Yen‐Pang, Deeptak Verma, Shuwen Sun, et al.. (2022). Successive remodeling of IgG glycans using a solid-phase enzymatic platform. Communications Biology. 5(1). 328–328. 13 indexed citations
6.
Verma, Deeptak, et al.. (2021). Building blocks and blueprints for bacterial autolysins. PLoS Computational Biology. 17(4). e1008889–e1008889. 19 indexed citations
7.
8.
Verma, Deeptak, et al.. (2018). Towards conformational fidelity of a quaternary HIV-1 epitope: computational design and directed evolution of a minimal V1V2 antigen. Protein Engineering Design and Selection. 31(4). 121–133. 6 indexed citations
9.
Choi, Yoonjoo, Deeptak Verma, Karl E. Griswold, & Chris Bailey‐Kellogg. (2016). EpiSweep: Computationally Driven Reengineering of Therapeutic Proteins to Reduce Immunogenicity While Maintaining Function. Methods in molecular biology. 1529. 375–398. 30 indexed citations
10.
Zhao, Hongliang, Deeptak Verma, Wen Li, et al.. (2015). Depletion of T Cell Epitopes in Lysostaphin Mitigates Anti-Drug Antibody Response and Enhances Antibacterial Efficacy In Vivo. Chemistry & Biology. 22(5). 629–639. 47 indexed citations
11.
Verma, Deeptak, Jun‐tao Guo, Donald J. Jacobs, & Dennis R. Livesay. (2013). Towards Comprehensive Analysis of Protein Family Quantitative Stability–Flexibility Relationships Using Homology Models. Methods in molecular biology. 1084. 239–254.
12.
Li, Tong, Deeptak Verma, Malgorzata B. Tracka, et al.. (2013). Thermodynamic Stability and Flexibility Characteristics of Antibody Fragment Complexes. Protein and Peptide Letters. 21(8). 752–765. 13 indexed citations
13.
Verma, Deeptak, et al.. (2013). A Case Study Comparing Quantitative Stability–Flexibility Relationships Across Five Metallo-β-Lactamases Highlighting Differences Within NDM-1. Methods in molecular biology. 1084. 227–238. 10 indexed citations
14.
Yang, Jing, Donald J. Jacobs, Dennis R. Livesay, et al.. (2013). A visual analytics approach to exploring protein flexibility subspaces. 193–200. 3 indexed citations
15.
Verma, Deeptak, Donald J. Jacobs, & Dennis R. Livesay. (2013). Variations within Class-A β-Lactamase Physiochemical Properties Reflect Evolutionary and Environmental Patterns, but not Antibiotic Specificity. PLoS Computational Biology. 9(7). e1003155–e1003155. 21 indexed citations
16.
Verma, Deeptak, Donald J. Jacobs, & Dennis R. Livesay. (2012). Changes in Lysozyme Flexibility upon Mutation Are Frequent, Large and Long-Ranged. PLoS Computational Biology. 8(3). e1002409–e1002409. 38 indexed citations
17.
Jacobs, Donald J., et al.. (2011). Ensemble Properties of Network Rigidity Reveal Allosteric Mechanisms. Methods in molecular biology. 796. 279–304. 14 indexed citations
18.
Verma, Deeptak, Donald J. Jacobs, & Dennis R. Livesay. (2010). Predicting the Melting Point of Human C-Type Lysozyme Mutants. Current Protein and Peptide Science. 11(7). 562–572. 13 indexed citations
19.
Sengupta, Dipankar, Deeptak Verma, & Pradeep Kumar Naik. (2008). Docking-MM-GB/SA and ADME Screening of HIV-1 NNRTI Inhibitor: Nevirapine and its Analogues. In Silico Biology. 8(3-4). 275–289. 6 indexed citations
20.

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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