René B. Khan

638 total citations
43 papers, 467 citations indexed

About

René B. Khan is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, René B. Khan has authored 43 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Infectious Diseases and 9 papers in Computational Theory and Mathematics. Recurrent topics in René B. Khan's work include Computational Drug Discovery Methods (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Cell death mechanisms and regulation (4 papers). René B. Khan is often cited by papers focused on Computational Drug Discovery Methods (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Cell death mechanisms and regulation (4 papers). René B. Khan collaborates with scholars based in South Africa, Democratic Republic of the Congo and United States. René B. Khan's co-authors include Daniel G. Amoako, Anou M. Somboro, Hezekiel M. Kumalo, Alisa Phulukdaree, Anil A. Chuturgoon, Melanie Ehrlich, K. Ehrlich, Prakash C. Supakar, Peter M. O. Owira and Nikita Devnarain and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

René B. Khan

41 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
René B. Khan South Africa 13 216 75 61 52 49 43 467
Éverton do Nascimento Alencar Brazil 14 162 0.8× 67 0.9× 67 1.1× 16 0.3× 33 0.7× 37 637
Abdulaziz S. Alothaim Saudi Arabia 10 163 0.8× 32 0.4× 42 0.7× 46 0.9× 58 1.2× 33 428
Sundaraj Rajamanikandan India 11 170 0.8× 28 0.4× 44 0.7× 59 1.1× 31 0.6× 21 348
Xiaoyu Ma China 15 316 1.5× 51 0.7× 46 0.8× 14 0.3× 53 1.1× 43 680
Banu Mansuroğlu Türkiye 13 190 0.9× 63 0.8× 76 1.2× 30 0.6× 23 0.5× 37 652
Mizied Falah Israel 17 516 2.4× 139 1.9× 62 1.0× 73 1.4× 38 0.8× 33 994
Viswanathan Arun Nagaraj India 15 294 1.4× 61 0.8× 36 0.6× 58 1.1× 41 0.8× 27 721
S. Sathianarayanan India 10 127 0.6× 72 1.0× 65 1.1× 39 0.8× 26 0.5× 37 500
Venugopal Pujari United States 10 239 1.1× 41 0.5× 77 1.3× 19 0.4× 114 2.3× 13 457
Akshay R. Yadav India 12 132 0.6× 77 1.0× 85 1.4× 58 1.1× 59 1.2× 46 449

Countries citing papers authored by René B. Khan

Since Specialization
Citations

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

Fields of papers citing papers by René B. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René B. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of René B. Khan. A scholar is included among the top collaborators of René B. 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 René B. Khan. René B. Khan 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.
Omolo, Calvin A., Eman Abdel Rahman Ismail, Usri H. Ibrahim, et al.. (2025). Multifunctional hyaluronic acid-based biomimetic/pH-responsive hybrid nanostructured lipid carriers for treating bacterial sepsis. Journal of Biomedical Science. 32(1). 19–19. 4 indexed citations
2.
Omolo, Calvin A., et al.. (2025). Antimicrobial peptide-fucoidan nanoplexes: A novel multifunctional biomimetic nanocarrier for enhanced vancomycin delivery against bacterial infections and sepsis. International Journal of Pharmaceutics. 672. 125344–125344. 3 indexed citations
3.
Ismail, Eman Abdel Rahman, et al.. (2024). Novel peptide and hyaluronic acid coated biomimetic liposomes for targeting bacterial infections and sepsis. International Journal of Pharmaceutics. 662. 124493–124493. 5 indexed citations
4.
Khan, René B., et al.. (2024). Unravelling Insights into the Evolution and Management of SARS-CoV-2. SHILAP Revista de lepidopterología. 4(1). 385–409. 2 indexed citations
5.
Khan, René B., et al.. (2024). Mechanistic Insights into Targeting SARS-CoV-2 Papain-like Protease in the Evolution and Management of COVID-19. SHILAP Revista de lepidopterología. 4(3). 268–299. 4 indexed citations
6.
Nlooto, Manimbulu, et al.. (2024). Mechanistic Insights into the Mutational Landscape of the Main Protease/3CLPro and Its Impact on Long-Term COVID-19/SARS-CoV-2 Management. SHILAP Revista de lepidopterología. 4(4). 825–852. 1 indexed citations
7.
Ndinteh, Derek Tantoh, Chinekwu Sherridan Nwagwu, René B. Khan, et al.. (2024). Endoplasmic reticulum stress in pancreatic β-cell dysfunction: The potential therapeutic role of dietary flavonoids. SHILAP Revista de lepidopterología. 6. 100184–100184. 7 indexed citations
8.
Ibrahim, Usri H., et al.. (2024). Engineered extracellular vesicles coated with an antimicrobial peptide for advanced control of bacterial sepsis. SHILAP Revista de lepidopterología. 3(8). e70000–e70000. 6 indexed citations
9.
10.
Khan, René B., et al.. (2023). Unravelling Insights into the Evolution and Management of SARS-CoV-2: A Comprehensive Review. Preprints.org. 1 indexed citations
14.
Ibrahim, Usri H., Nikita Devnarain, Calvin A. Omolo, et al.. (2022). Dual acting acid-cleavable self-assembling prodrug from hyaluronic acid and ciprofloxacin: A potential system for simultaneously targeting bacterial infections and cancer. International Journal of Biological Macromolecules. 222(Pt A). 546–561. 9 indexed citations
15.
Bester, Linda A., et al.. (2021). Super-Cationic Peptide Dendrimers—Synthesis and Evaluation as Antimicrobial Agents. Antibiotics. 10(6). 695–695. 7 indexed citations
16.
Somboro, Anou M., et al.. (2020). Di‐2‐picolylamine triggers caspase‐independent apoptosis by inducing oxidative stress in human liver hepatocellular carcinoma cells. Biotechnology and Applied Biochemistry. 68(2). 257–266. 5 indexed citations
17.
Amoako, Daniel G., et al.. (2020). Molecular mechanisms underlying the renoprotective effects of 1,4,7-triazacyclononane: a βeta-lactamase inhibitor. Cytotechnology. 72(5). 785–796. 3 indexed citations
18.
Somboro, Anou M., Daniel G. Amoako, John Osei Sekyere, et al.. (2018). 1,4,7-Triazacyclononane Restores the Activity of β-Lactam Antibiotics against Metallo-β-Lactamase-Producing Enterobacteriaceae : Exploration of Potential Metallo-β-Lactamase Inhibitors. Applied and Environmental Microbiology. 85(3). 17 indexed citations
19.
Somboro, Anou M., John Osei Sekyere, Daniel G. Amoako, et al.. (2018). In vitro potentiation of carbapenems with tannic acid against carbapenemase-producing enterobacteriaceae: exploring natural products as potential carbapenemase inhibitors. Journal of Applied Microbiology. 126(2). 452–467. 12 indexed citations
20.
Khan, René B., Alisa Phulukdaree, & Anil A. Chuturgoon. (2017). Fumonisin B1 induces oxidative stress in oesophageal (SNO) cancer cells. Toxicon. 141. 104–111. 35 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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