Rameez Jabeer Khan

669 total citations
16 papers, 454 citations indexed

About

Rameez Jabeer Khan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Molecular Medicine. According to data from OpenAlex, Rameez Jabeer Khan has authored 16 papers receiving a total of 454 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 10 papers in Molecular Medicine. Recurrent topics in Rameez Jabeer Khan's work include Computational Drug Discovery Methods (10 papers), Antibiotic Resistance in Bacteria (10 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rameez Jabeer Khan is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Antibiotic Resistance in Bacteria (10 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rameez Jabeer Khan collaborates with scholars based in India, Germany and Ethiopia. Rameez Jabeer Khan's co-authors include Amit Kumar Singh, Rajat Kumar Jha, Jayaraman Muthukumaran, Gizachew Muluneh Amera, Monika Jain, Ekampreet Singh, Amita Pathak, Rashmi Prabha Singh, Ankit Kumar and Lukas Maas and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Biology and Microbial Pathogenesis.

In The Last Decade

Rameez Jabeer Khan

15 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rameez Jabeer Khan India 10 263 206 165 85 43 16 454
Rajat Kumar Jha India 9 257 1.0× 205 1.0× 157 1.0× 84 1.0× 36 0.8× 16 448
Gizachew Muluneh Amera India 10 251 1.0× 200 1.0× 164 1.0× 79 0.9× 37 0.9× 12 451
Amit Kumar Singh India 12 273 1.0× 212 1.0× 233 1.4× 91 1.1× 47 1.1× 39 595
Amita Pathak India 10 211 0.8× 160 0.8× 165 1.0× 64 0.8× 38 0.9× 13 402
Ekampreet Singh India 8 234 0.9× 196 1.0× 136 0.8× 78 0.9× 14 0.3× 15 407
Shashikant Ray India 12 136 0.5× 237 1.2× 200 1.2× 38 0.4× 28 0.7× 21 540
Rajib Islam Bangladesh 6 276 1.0× 195 0.9× 211 1.3× 88 1.0× 9 0.2× 8 539
Priyashi Rao India 14 147 0.6× 96 0.5× 187 1.1× 59 0.7× 25 0.6× 24 422
Md. Rimon Parves Bangladesh 9 266 1.0× 183 0.9× 235 1.4× 95 1.1× 7 0.2× 13 566
Mitul Srivastava India 12 224 0.9× 154 0.7× 195 1.2× 62 0.7× 14 0.3× 26 429

Countries citing papers authored by Rameez Jabeer Khan

Since Specialization
Citations

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

Fields of papers citing papers by Rameez Jabeer Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rameez Jabeer Khan. 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 Rameez Jabeer Khan. The network helps show where Rameez Jabeer Khan may publish in the future.

Co-authorship network of co-authors of Rameez Jabeer Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Rameez Jabeer Khan. A scholar is included among the top collaborators of Rameez Jabeer Khan 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 Rameez Jabeer Khan. Rameez Jabeer Khan 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.
Jatzlau, Jerome, Su-Il Do, Rameez Jabeer Khan, et al.. (2025). Rare but specific: 5-bp composite motifs define SMAD binding in BMP signaling. BMC Biology. 23(1). 79–79.
2.
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
3.
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
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, 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
8.
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
9.
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
10.
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
11.
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
12.
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
13.
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
14.
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
15.
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
16.
Amera, Gizachew Muluneh, Rameez Jabeer Khan, Amita Pathak, Ankit Kumar, & Amit Kumar Singh. (2019). Structure based in-silico study on UDP-N-acetylmuramoyl-L-alanyl-D-glutamate-2,6-diaminopimelate ligase (MurE) from Acinetobacter baumannii as a drug target against nosocomial infections. Informatics in Medicine Unlocked. 16. 100216–100216. 14 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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