Jitender Verma

1.3k total citations · 1 hit paper
18 papers, 974 citations indexed

About

Jitender Verma is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Jitender Verma has authored 18 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in Jitender Verma's work include Computational Drug Discovery Methods (7 papers), Cellular transport and secretion (4 papers) and Trypanosoma species research and implications (4 papers). Jitender Verma is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Cellular transport and secretion (4 papers) and Trypanosoma species research and implications (4 papers). Jitender Verma collaborates with scholars based in India, Australia and Germany. Jitender Verma's co-authors include Evans C. Coutinho, Vijay M. Khedkar, Prabha Garg, Ruchir Rastogi, Amitabha Mukhopadhyay, Alpeshkumar K. Malde, Kuldip Upadhyay, Anamik Shah, Atul Manvar and Santosh A. Khedkar and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Cell Science and FEBS Letters.

In The Last Decade

Jitender Verma

17 papers receiving 947 citations

Hit Papers

3D-QSAR in Drug Design - A Review 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jitender Verma India 11 501 420 296 107 98 18 974
Alfonso T. García‐Sosa Estonia 22 490 1.0× 675 1.6× 287 1.0× 111 1.0× 78 0.8× 54 1.2k
Fabiana Caporuscio Italy 18 267 0.5× 344 0.8× 276 0.9× 83 0.8× 66 0.7× 24 791
Maria Kontoyianni United States 17 589 1.2× 715 1.7× 306 1.0× 85 0.8× 161 1.6× 34 1.2k
Katrin Stierand Germany 10 304 0.6× 677 1.6× 230 0.8× 97 0.9× 134 1.4× 15 1.2k
Delaram Ghoreishi United States 5 246 0.5× 616 1.5× 235 0.8× 107 1.0× 110 1.1× 5 1.2k
Mark McGann United States 7 600 1.2× 893 2.1× 303 1.0× 98 0.9× 144 1.5× 11 1.4k
Alex M. Aronov United States 18 407 0.8× 829 2.0× 277 0.9× 92 0.9× 78 0.8× 27 1.2k
Yuan-Ling Xia China 6 300 0.6× 683 1.6× 171 0.6× 90 0.8× 64 0.7× 12 1.2k
Gergely M. Makara United States 16 353 0.7× 599 1.4× 365 1.2× 67 0.6× 83 0.8× 34 1.1k
Kenneth Borrelli United States 17 373 0.7× 898 2.1× 247 0.8× 108 1.0× 84 0.9× 17 1.3k

Countries citing papers authored by Jitender Verma

Since Specialization
Citations

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

Fields of papers citing papers by Jitender Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitender Verma

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

All Works

18 of 18 papers shown
3.
Singh, Balwant, Zaigham Abbas Rizvi, Hilal Ahmad Parray, et al.. (2022). Virus-Like Particles of SARS-CoV-2 as Virus Surrogates: Morphology, Immunogenicity, and Internalization in Neuronal Cells. ACS Infectious Diseases. 8(10). 2119–2132. 2 indexed citations
4.
Rastogi, Ruchir, et al.. (2020). Rab5b function is essential to acquire heme from hemoglobin endocytosis for survival of Leishmania. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1868(1). 118868–118868. 6 indexed citations
5.
Verma, Jitender, Olympia E. Psathaki, Lars Langemeyer, et al.. (2020). A trimeric metazoan Rab7 GEF complex is crucial for endocytosis and scavenger function. Journal of Cell Science. 133(13). 19 indexed citations
6.
Rastogi, Ruchir, et al.. (2020). Identification and characterization of the hemoglobin‐binding domain of hemoglobin receptor in Leishmania. FEBS Letters. 595(4). 548–558. 4 indexed citations
7.
Verma, Jitender, Ruchir Rastogi, & Amitabha Mukhopadhyay. (2017). Leishmania donovani resides in modified early endosomes by upregulating Rab5a expression via the downregulation of miR-494. PLoS Pathogens. 13(6). e1006459–e1006459. 36 indexed citations
8.
Rastogi, Ruchir, et al.. (2016). Rab5 Isoforms Specifically Regulate Different Modes of Endocytosis in Leishmania. Journal of Biological Chemistry. 291(28). 14732–14746. 24 indexed citations
9.
Abdullah, Iskandar, Chin Fei Chee, Yean Kee Lee, et al.. (2015). Benzimidazole derivatives as potential dual inhibitors for PARP-1 and DHODH. Bioorganic & Medicinal Chemistry. 23(15). 4669–4680. 44 indexed citations
10.
Verma, Jitender, et al.. (2015). To evaluate the values of electrical conductivity and growth parameters of apple saplings in nursery fields. 4(3). 321–332. 11 indexed citations
11.
Verma, Jitender, Alpeshkumar K. Malde, Santosh A. Khedkar, & Evans C. Coutinho. (2012). Comparative Occupancy Analysis (CoOAn) – A Straightforward and Directly Applicable 3D‐QSAR Formalism to Extract Molecular Features Obligatory for Designing Potent Leads. Molecular Informatics. 31(6-7). 431–442. 3 indexed citations
12.
Verma, Jitender, Vijay M. Khedkar, & Evans C. Coutinho. (2010). 3D-QSAR in Drug Design - A Review. Current Topics in Medicinal Chemistry. 10(1). 95–115. 584 indexed citations breakdown →
13.
Khedkar, Vijay M., et al.. (2010). Molecular docking and 3D-QSAR studies of HIV-1 protease inhibitors. Journal of Molecular Modeling. 16(7). 1251–1268. 23 indexed citations
14.
Verma, Jitender, Alpeshkumar K. Malde, Santosh A. Khedkar, Radhakrishnan P. Iyer, & Evans C. Coutinho. (2009). Local Indices for Similarity Analysis (LISA)—A 3D-QSAR Formalism Based on Local Molecular Similarity. Journal of Chemical Information and Modeling. 49(12). 2695–2707. 10 indexed citations
15.
Verma, Jitender, Vijay M. Khedkar, Arati Prabhu, et al.. (2008). A comprehensive analysis of the thermodynamic events involved in ligand–receptor binding using CoRIA and its variants. Journal of Computer-Aided Molecular Design. 22(2). 91–104. 18 indexed citations
16.
Manvar, Atul, Alpeshkumar K. Malde, Jitender Verma, et al.. (2008). Synthesis, anti-tubercular activity and 3D-QSAR study of coumarin-4-acetic acid benzylidene hydrazides. European Journal of Medicinal Chemistry. 43(11). 2395–2403. 64 indexed citations
17.
Dhaked, Devendra K., Jitender Verma, Anil Saran, & Evans C. Coutinho. (2008). Exploring the binding of HIV-1 integrase inhibitors by comparative residue interaction analysis (CoRIA). Journal of Molecular Modeling. 15(3). 233–245. 19 indexed citations
18.
Garg, Prabha & Jitender Verma. (2005). In Silico Prediction of Blood Brain Barrier Permeability:  An Artificial Neural Network Model. Journal of Chemical Information and Modeling. 46(1). 289–297. 102 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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