Rajendra Kumar

5.1k total citations · 1 hit paper
20 papers, 4.1k citations indexed

About

Rajendra Kumar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Ecology. According to data from OpenAlex, Rajendra Kumar has authored 20 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Ecology. Recurrent topics in Rajendra Kumar's work include DNA and Nucleic Acid Chemistry (9 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Computational Drug Discovery Methods (4 papers). Rajendra Kumar is often cited by papers focused on DNA and Nucleic Acid Chemistry (9 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Computational Drug Discovery Methods (4 papers). Rajendra Kumar collaborates with scholars based in Sweden, India and Germany. Rajendra Kumar's co-authors include Rashmi Kumari, Helmut Grubmüller, Erik Chorell, Rabindra Nath Das, M. Elizabeth Sobhia, Mattias Hedenström, Karam Chand, Sudipta Bhowmik, Gianni Chessari and Ján Jamroškovič and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Rajendra Kumar

20 papers receiving 4.1k citations

Hit Papers

g_mmpbsa—A GROMACS Tool for High-Throughput MM-PBSA Calcu... 2014 2026 2018 2022 2014 1000 2.0k 3.0k

Peers

Rajendra Kumar
T. Dwight McGee United States
Keun Woo Lee South Korea
Yechun Xu China
Jin Huang China
Rajendra Kumar
Citations per year, relative to Rajendra Kumar Rajendra Kumar (= 1×) peers V. Joachim Haupt

Countries citing papers authored by Rajendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rajendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajendra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajendra Kumar. A scholar is included among the top collaborators of Rajendra 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 Rajendra Kumar. Rajendra Kumar 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.
Kumari, Rashmi, Rajendra Kumar, Nina Forsgren, et al.. (2024). Enzyme Dynamics Determine the Potency and Selectivity of Inhibitors Targeting Disease-Transmitting Mosquitoes. ACS Infectious Diseases. 10(10). 3664–3680. 2 indexed citations
2.
Kumar, Rajendra, et al.. (2022). Electrostatic Complementarity in Structure-Based Drug Design. Journal of Medicinal Chemistry. 65(11). 7476–7488. 33 indexed citations
3.
Das, Rabindra Nath, et al.. (2020). Macrocyclization of bis-indole quinolines for selective stabilization of G-quadruplex DNA structures. Chemical Science. 11(38). 10529–10537. 6 indexed citations
4.
Prasad, Bagineni, Rabindra Nath Das, Ján Jamroškovič, et al.. (2020). The Relation Between Position and Chemical Composition of Bis‐Indole Substituents Determines Their Interactions with G‐Quadruplex DNA. Chemistry - A European Journal. 26(43). 9561–9572. 9 indexed citations
5.
Jamroškovič, Ján, Mara Doimo, Karam Chand, et al.. (2020). Quinazoline Ligands Induce Cancer Cell Death through Selective STAT3 Inhibition and G-Quadruplex Stabilization. Journal of the American Chemical Society. 142(6). 2876–2888. 64 indexed citations
6.
Kumar, Rajendra, et al.. (2019). Highly interacting regions of the human genome are enriched with enhancers and bound by DNA repair proteins. Scientific Reports. 9(1). 4577–4577. 11 indexed citations
7.
Kumar, Rajendra, Karam Chand, Sudipta Bhowmik, et al.. (2019). Subtle structural alterations in G-quadruplex DNA regulate site specificity of fluorescence light-up probes. Nucleic Acids Research. 48(3). 1108–1119. 39 indexed citations
8.
Kumar, Rajendra, Sonia Verma, Ruby Sharma, et al.. (2018). Allosteric Site Inhibitor Disrupting Auto-Processing of Malarial Cysteine Proteases. Scientific Reports. 8(1). 16193–16193. 14 indexed citations
9.
Prasad, Bagineni, Ján Jamroškovič, Sudipta Bhowmik, et al.. (2018). Flexible Versus Rigid G‐Quadruplex DNA Ligands: Synthesis of Two Series of Bis‐indole Derivatives and Comparison of Their Interactions with G‐Quadruplex DNA. Chemistry - A European Journal. 24(31). 7926–7938. 18 indexed citations
10.
Kumar, Rajendra, et al.. (2017). Genome contact map explorer: a platform for the comparison, interactive visualization and analysis of genome contact maps. Nucleic Acids Research. 45(17). e152–e152. 16 indexed citations
11.
Kumar, Rajendra & Helmut Grubmüller. (2016). Phi29 Connector-DNA Interactions Govern DNA Crunching and Rotation, Supporting the Check-Valve Model. Biophysical Journal. 110(2). 455–469. 8 indexed citations
12.
Kumar, Rajendra & Helmut Grubmüller. (2015). do_x3dna: a tool to analyze structural fluctuations of dsDNA or dsRNA from molecular dynamics simulations. Bioinformatics. 31(15). 2583–2585. 53 indexed citations
13.
Kumar, Rajendra & Helmut Grubmüller. (2014). Elastic Properties and Heterogeneous Stiffness of the Phi29 Motor Connector Channel. Biophysical Journal. 106(6). 1338–1348. 19 indexed citations
14.
Kumari, Rashmi, et al.. (2014). g_mmpbsa—A GROMACS Tool for High-Throughput MM-PBSA Calculations. Journal of Chemical Information and Modeling. 54(7). 1951–1962. 3748 indexed citations breakdown →
15.
Kappel, Christian, Nicole Dölker, Rajendra Kumar, et al.. (2012). Universal Relaxation Governs the Nonequilibrium Elasticity of Biomolecules. Physical Review Letters. 109(11). 118304–118304. 11 indexed citations
16.
Kumar, Hirdesh, et al.. (2011). Insights into the Structural Requirements of PKCβII Inhibitors Based on HQSAR and CoMSIA Analyses. Chemical Biology & Drug Design. 78(2). 283–288. 14 indexed citations
17.
Kumar, Rajendra. (2010). CXCL12/CXCR4 promotes motility and proliferation of glioma cells: Cancer Biology & Therapy 2010; 9: 56-65. Annals of Neurosciences. 17(2). 85–86. 1 indexed citations
18.
Kumar, Rajendra, et al.. (2010). Probing Interaction Requirements in PTP1B Inhibitors: A Comparative Molecular Dynamics Study. Journal of Chemical Information and Modeling. 50(6). 1147–1158. 30 indexed citations
19.
Singh, Pankaj Kumar, et al.. (2007). Quantitative structure-activity relationship study of orally active cyclooxygenase-2 (COX-2) inhibitors of derivatives of 3-phenoxypyran-4-one.. PubMed. 44(1). 50–5. 2 indexed citations
20.
Sharma, Balkishan, et al.. (2002). Quantitative Structure-Activity Relationship Study of 2-arylsulfonyl-6-substituted Benzonitriles as Non-nucleoside Reverse Transcriptase Inhibitors of HIV-1. Journal of Enzyme Inhibition and Medicinal Chemistry. 17(4). 219–225. 3 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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