René B. Khan
- Molecular Biology
- Plant Science
- Organic Chemistry
- Computational Theory and Mathematics top 10%
- Infectious Diseases
- Co-authors
- Daniel G. AmoakoAnou M. SomboroHezekiel M. KumaloAlisa PhulukdareeAnil A. ChuturgoonPrakash C. SupakarK. EhrlichMelanie Ehrlich
- Topics
- Computational Drug Discovery Methods (9 papers)SARS-CoV-2 and COVID-19 Research (8 papers)Cell death mechanisms and regulation (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaApplied and Environmental Microbiology
- Partner nations
- South AfricaDemocratic Republic of the CongoUnited States
In The Last Decade
René B. Khan
41 papers receiving 456 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 216
- Plant Science 75
- Organic Chemistry 61
- Computational Theory and Mathematics 52
- Infectious Diseases 49
Countries citing papers authored by René B. Khan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 26 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 17 | |
| 20 | 35 |
About René B. Khan
René B. Khan is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Biochemistry, having authored 43 papers that have together received 467 indexed citations. Recurring topics across this 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). The work is most often cited by research in Applied Microbiology and Biotechnology (16 citations), Molecular Medicine (37 citations) and Microbiology (22 citations). René B. Khan has collaborated with scholars based in South Africa, Democratic Republic of the Congo and United States. Frequent co-authors include Daniel G. Amoako, Anou M. Somboro, Hezekiel M. Kumalo, Alisa Phulukdaree, Anil A. Chuturgoon, Prakash C. Supakar, K. Ehrlich, Melanie Ehrlich, Nikita Devnarain and Peter M. O. Owira. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.
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.