Prasun Kumar

583 total citations
13 papers, 337 citations indexed

About

Prasun Kumar is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Prasun Kumar has authored 13 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Materials Chemistry and 2 papers in Genetics. Recurrent topics in Prasun Kumar's work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (8 papers) and RNA and protein synthesis mechanisms (5 papers). Prasun Kumar is often cited by papers focused on Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (8 papers) and RNA and protein synthesis mechanisms (5 papers). Prasun Kumar collaborates with scholars based in India, United Kingdom and Israel. Prasun Kumar's co-authors include Manju Bansal, Derek N. Woolfson, Dipankar Chatterji, Kajal Gupta, Jonathan Clayden, Neil G. Paterson, Emmanuel D. Levy, Sergey Ovchinnikov, L Dornfeld and Lawrence J. D’Souza and has published in prestigious journals such as Nature, Cell and Bioinformatics.

In The Last Decade

Prasun Kumar

13 papers receiving 334 citations

Peers

Prasun Kumar

MB

MC

BIOMA

OC

ID

Marie Valerio‐Lepiniec France

Anastassia A. Vorobieva Belgium

Santrupti Nerli United States

Frank H. T. Nelissen Netherlands

Eric J. M. Lang United Kingdom

Puneet Juneja United States

Suzanne B. P. E. Timmermans Netherlands

Arti Pothukuchy United States

Stephen P. Edgcomb United States

Marie Valerio‐Lepiniec France

Prasun Kumar

301 ×1.1

MB

85 ×1.1

MC

35 ×0.9

BIOMA

33 ×1.0

OC

21 ×0.7

ID

Citations per year, relative to Prasun Kumar Prasun Kumar (= 1×) peers Marie Valerio‐Lepiniec

Countries citing papers authored by Prasun Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Prasun Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasun Kumar

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

All Works

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13 of 13 papers shown

1.

Pačesa, Martin, Casper A. Goverde, Prasun Kumar, et al.. (2024). An atlas of protein homo-oligomerization across domains of life. Cell. 187(4). 999–1010.e15. 56 indexed citations

2.

Kumar, Prasun, et al.. (2023). CC ⁺ : A searchable database of validated coiled coils in PDB structures and AlphaFold2 models. Protein Science. 32(11). e4789–e4789. 6 indexed citations

3.

Kumar, Prasun, Neil G. Paterson, Jonathan Clayden, & Derek N. Woolfson. (2022). De novo design of discrete, stable 310-helix peptide assemblies. Nature. 607(7918). 387–392. 40 indexed citations

4.

Kumar, Prasun & Derek N. Woolfson. (2021). Socket2: a program for locating, visualizing and analyzing coiled-coil interfaces in protein structures. Bioinformatics. 37(23). 4575–4577. 39 indexed citations

5.

Bhattacharyya, Dhananjay, et al.. (2017). RNAHelix: computational modeling of nucleic acid structures with Watson–Crick and non-canonical base pairs. Journal of Computer-Aided Molecular Design. 31(2). 219–235. 7 indexed citations

6.

Kumar, Prasun & Manju Bansal. (2016). Structural and functional analyses of PolyProline-II helices in globular proteins. Journal of Structural Biology. 196(3). 414–425. 21 indexed citations

7.

Kumar, Prasun & Manju Bansal. (2015). Identification of local variations within secondary structures of proteins. Acta Crystallographica Section D Biological Crystallography. 71(5). 1077–1086. 18 indexed citations

8.

Kumar, Prasun & Manju Bansal. (2015). Dissecting π‐helices: sequence, structure and function. FEBS Journal. 282(22). 4415–4432. 31 indexed citations

9.

Kumar, Prasun, et al.. (2014). MolBridge: a program for identifying nonbonded interactions in small molecules and biomolecular structures. Journal of Applied Crystallography. 47(5). 1772–1776. 12 indexed citations

10.

Kumar, Prasun. (2013). On bent sequences and generalized bent functions. University of Southern California Digital Library. 1 indexed citations

11.

Kumar, Prasun & Manju Bansal. (2012). HELANAL-Plus: a web server for analysis of helix geometry in protein structures. Journal of Biomolecular Structure and Dynamics. 30(6). 773–783. 54 indexed citations

12.

Gupta, Kajal, Prasun Kumar, & Dipankar Chatterji. (2010). Identification, Activity and Disulfide Connectivity of C-di-GMP Regulating Proteins in Mycobacterium tuberculosis. PLoS ONE. 5(11). e15072–e15072. 41 indexed citations

13.

Maitra, Uday, Lawrence J. D’Souza, & Prasun Kumar. (1998). Synthesis and Cation Binding Properties of New Bile Acid-based Crown Ethers. Supramolecular chemistry. 10(1). 97–106. 11 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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