Rameez Jabeer Khan

25 total papers · 666 total citations
15 papers, 449 citations indexed

About

Rameez Jabeer Khan is a scholar working on Computational Theory and Mathematics, Molecular Medicine and Molecular Biology. According to data from OpenAlex, Rameez Jabeer Khan has authored 15 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 10 papers in Molecular Medicine and 9 papers in Molecular Biology. Recurrent topics in Rameez Jabeer Khan's work include Antibiotic Resistance in Bacteria (10 papers), Computational Drug Discovery Methods (10 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rameez Jabeer Khan is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Computational Drug Discovery Methods (10 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Rameez Jabeer Khan collaborates with scholars based in India 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 R. Ramesh 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

Rameez Jabeer Khan

15 papers receiving 442 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rameez Jabeer Khan 262 206 165 85 40 15 449
Rajat Kumar Jha 256 1.0× 205 1.0× 157 1.0× 84 1.0× 39 1.0× 16 443
Gizachew Muluneh Amera 250 1.0× 200 1.0× 163 1.0× 79 0.9× 38 0.9× 11 445
Tebelay Dilnessa 163 0.6× 229 1.1× 112 0.7× 57 0.7× 19 0.5× 17 428
Shashikant Ray 134 0.5× 237 1.2× 198 1.2× 38 0.4× 49 1.2× 21 536
Rajib Islam 275 1.0× 193 0.9× 211 1.3× 88 1.0× 47 1.2× 8 536
Shalini Mathpal 236 0.9× 118 0.6× 158 1.0× 68 0.8× 60 1.5× 30 485
Vemula Sarojamma 118 0.5× 175 0.8× 128 0.8× 27 0.3× 37 0.9× 13 427
Ana Jiménez-Alesanco 158 0.6× 114 0.6× 234 1.4× 57 0.7× 48 1.2× 18 539
Rashmi Prabha Singh 210 0.8× 189 0.9× 121 0.7× 91 1.1× 36 0.9× 16 486
David Ortega-Alarcón 156 0.6× 107 0.5× 188 1.1× 41 0.5× 50 1.3× 19 462

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

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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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