Rajat Kumar Jha

666 total citations
16 papers, 448 citations indexed

About

Rajat Kumar Jha is a scholar working on Molecular Biology, Computational Theory and Mathematics and Molecular Medicine. According to data from OpenAlex, Rajat Kumar Jha has authored 16 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 9 papers in Molecular Medicine. Recurrent topics in Rajat Kumar Jha's work include Computational Drug Discovery Methods (10 papers), Antibiotic Resistance in Bacteria (9 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rajat Kumar Jha is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Antibiotic Resistance in Bacteria (9 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rajat Kumar Jha collaborates with scholars based in India, Ethiopia and United States. Rajat Kumar Jha's co-authors include Amit Kumar Singh, Rameez Jabeer Khan, Jayaraman Muthukumaran, Gizachew Muluneh Amera, Monika Jain, Ekampreet Singh, Amita Pathak, Rashmi Prabha Singh, Ankit Kumar and Balaji Krishnamurthy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Microbial Pathogenesis and Journal of Biomolecular Structure and Dynamics.

In The Last Decade

Rajat Kumar Jha

16 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajat Kumar Jha India 9 257 205 157 84 39 16 448
Rameez Jabeer Khan India 10 263 1.0× 206 1.0× 165 1.1× 85 1.0× 40 1.0× 16 454
Gizachew Muluneh Amera India 10 251 1.0× 200 1.0× 164 1.0× 79 0.9× 38 1.0× 12 451
Amita Pathak India 10 211 0.8× 160 0.8× 165 1.1× 64 0.8× 35 0.9× 13 402
Amit Kumar Singh India 12 273 1.1× 212 1.0× 233 1.5× 91 1.1× 45 1.2× 39 595
Ekampreet Singh India 8 234 0.9× 196 1.0× 136 0.9× 78 0.9× 40 1.0× 15 407
Rajib Islam Bangladesh 6 276 1.1× 195 1.0× 211 1.3× 88 1.0× 47 1.2× 8 539
Shashikant Ray India 12 136 0.5× 237 1.2× 200 1.3× 38 0.5× 49 1.3× 21 540
Md. Rimon Parves Bangladesh 9 266 1.0× 183 0.9× 235 1.5× 95 1.1× 49 1.3× 13 566
Priyashi Rao India 14 147 0.6× 96 0.5× 187 1.2× 59 0.7× 35 0.9× 24 422
Mitul Srivastava India 12 224 0.9× 154 0.8× 195 1.2× 62 0.7× 15 0.4× 26 429

Countries citing papers authored by Rajat Kumar Jha

Since Specialization
Citations

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

Fields of papers citing papers by Rajat Kumar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajat Kumar Jha

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

All Works

16 of 16 papers shown
1.
Khan, Rameez Jabeer, Ekampreet Singh, Rajat Kumar Jha, et al.. (2023). Identification and prioritization of potential therapeutic molecules against LpxA from Acinetobacter baumannii – A computational study. SHILAP Revista de lepidopterología. 5. 100096–100096. 7 indexed citations
2.
Kumar, Ankit, Ekampreet Singh, Rajat Kumar Jha, et al.. (2023). Targeting multi-drug-resistant Acinetobacter baumannii: a structure-based approach to identify the promising lead candidates against glutamate racemase. Journal of Molecular Modeling. 29(6). 188–188. 4 indexed citations
3.
Kumar, Yaman, et al.. (2023). Persuasion Strategies in Advertisements. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 57–66. 6 indexed citations
4.
Singh, Ekampreet, Rajat Kumar Jha, Rameez Jabeer Khan, et al.. (2022). A computational essential dynamics approach to investigate structural influences of ligand binding on Papain like protease from SARS-CoV-2. Computational Biology and Chemistry. 99. 107721–107721. 14 indexed citations
5.
Jha, Rajat Kumar, Ekampreet Singh, Rameez Jabeer Khan, et al.. (2022). Droperidol as a potential inhibitor of acyl-homoserine lactone synthase from A. baumannii: insights from virtual screening, MD simulations and MM/PBSA calculations. Molecular Diversity. 27(5). 1979–1999. 1 indexed citations
6.
Jha, Rajat Kumar, Rameez Jabeer Khan, Ekampreet Singh, et al.. (2022). An extensive computational study to identify potential inhibitors of Acyl-homoserine-lactone synthase from Acinetobacter baumannii (strain AYE). Journal of Molecular Graphics and Modelling. 114. 108168–108168. 7 indexed citations
7.
Jha, Rajat Kumar, et al.. (2022). Identification and prioritization of promising lead molecules fromSyzygium aromaticumagainst Sortase C fromStreptococcus pyogenes: anin silicoinvestigation. Journal of Biomolecular Structure and Dynamics. 41(12). 5418–5435. 2 indexed citations
8.
Jha, Rajat Kumar, Rameez Jabeer Khan, A. Parthiban, et al.. (2021). Identifying the natural compound Catechin from tropical mangrove plants as a potential lead candidate against 3CL pro from SARS-CoV-2: An integrated in silico approach. Journal of Biomolecular Structure and Dynamics. 40(24). 13392–13411. 5 indexed citations
9.
Khan, Rameez Jabeer, Rajat Kumar Jha, Ekampreet Singh, et al.. (2020). Identification of promising antiviral drug candidates against non-structural protein 15 (NSP15) from SARS-CoV-2: an in silico assisted drug-repurposing study. Journal of Biomolecular Structure and Dynamics. 40(1). 438–448. 26 indexed citations
10.
Singh, Ekampreet, Rameez Jabeer Khan, Rajat Kumar Jha, et al.. (2020). A comprehensive review on promising anti-viral therapeutic candidates identified against main protease from SARS-CoV-2 through various computational methods. Journal of Genetic Engineering and Biotechnology. 18(1). 69–69. 40 indexed citations
11.
Amera, Gizachew Muluneh, Rameez Jabeer Khan, Rajat Kumar Jha, et al.. (2020). Prioritization of Mur family drug targets against A. baumannii and identification of their homologous proteins through molecular phylogeny, primary sequence, and structural analysis. Journal of Genetic Engineering and Biotechnology. 18(1). 33–33. 10 indexed citations
12.
Amera, Gizachew Muluneh, Rameez Jabeer Khan, Amita Pathak, et al.. (2020). Structure based drug designing and discovery of promising lead molecules against UDP-N-acetylenolpyruvoylglucosamine reductase (MurB): A potential drug target in multi-drug resistant Acinetobacter baumannii. Journal of Molecular Graphics and Modelling. 100. 107675–107675. 14 indexed citations
13.
Jha, Rajat Kumar, Rameez Jabeer Khan, Gizachew Muluneh Amera, et al.. (2020). Identification of promising molecules against MurD ligase from Acinetobacter baumannii: insights from comparative protein modelling, virtual screening, molecular dynamics simulations and MM/PBSA analysis. Journal of Molecular Modeling. 26(11). 304–304. 19 indexed citations
14.
Amera, Gizachew Muluneh, Rameez Jabeer Khan, Amita Pathak, et al.. (2020). Computer aided ligand based screening for identification of promising molecules against enzymes involved in peptidoglycan biosynthetic pathway from Acinetobacter baumannii. Microbial Pathogenesis. 147. 104205–104205. 14 indexed citations
15.
Khan, Rameez Jabeer, Rajat Kumar Jha, Gizachew Muluneh Amera, et al.. (2020). Targeting SARS-CoV-2: a systematic drug repurposing approach to identify promising inhibitors against 3C-like proteinase and 2′-O-ribose methyltransferase. Journal of Biomolecular Structure and Dynamics. 39(8). 2679–2692. 262 indexed citations
16.
Amera, Gizachew Muluneh, Rameez Jabeer Khan, Amita Pathak, et al.. (2019). Screening of promising molecules against MurG as drug target in multi-drug-resistant-Acinetobacter baumannii - insights from comparative protein modeling, molecular docking and molecular dynamics simulation. Journal of Biomolecular Structure and Dynamics. 38(17). 5230–5252. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026