Md Tabish Rehman
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Computational Theory and Mathematics top 0.5%
- Plant Science top 5%
- Oncology top 5%
- Co-authors
- Mohamed F. AlajmiAfzal HussainGhazala MuteebMd. Imtaiyaz HassanMoyad ShahwanAsad U. KhanFohad Mabood HusainMohammad Aatif
- Topics
- Protein Interaction Studies and Fluorescence Analysis (39 papers)Computational Drug Discovery Methods (34 papers)Drug Transport and Resistance Mechanisms (16 papers)
- Cited by
- Molecular MedicineApplied Microbiology and BiotechnologyComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of The Electrochemical Society
- Partner nations
- Saudi ArabiaIndiaUnited States
In The Last Decade
Md Tabish Rehman
174 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.3k
- Organic Chemistry 932
- Computational Theory and Mathematics 834
- Plant Science 810
- Oncology 703
Countries citing papers authored by Md Tabish Rehman
This map shows the geographic impact of Md Tabish Rehman'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 Md Tabish Rehman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Tabish Rehman more than expected).
Fields of papers citing papers by Md Tabish Rehman
This network shows the impact of papers produced by Md Tabish Rehman. 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 Md Tabish Rehman. The network helps show where Md Tabish Rehman may publish in the future.
Co-authorship network of co-authors of Md Tabish Rehman
This figure shows the co-authorship network connecting the top 25 collaborators of Md Tabish Rehman. A scholar is included among the top collaborators of Md Tabish Rehman 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 Md Tabish Rehman. Md Tabish Rehman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 37 | |
| 11 | 22 | |
| 12 | 8 | |
| 13 | 25 | |
| 14 | 125 | |
| 15 | 10 | |
| 16 | 37 | |
| 17 | 29 | |
| 18 | 19 | |
| 19 | 13 | |
| 20 | 69 |
About Md Tabish Rehman
Md Tabish Rehman is a scholar working on Computational Theory and Mathematics, Molecular Medicine and Pharmacology, having authored 181 papers that have together received 5.8k indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (39 papers), Computational Drug Discovery Methods (34 papers) and Drug Transport and Resistance Mechanisms (16 papers). The work is most often cited by research in Molecular Medicine (387 citations), Applied Microbiology and Biotechnology (114 citations) and Computational Theory and Mathematics (834 citations). Md Tabish Rehman has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Mohamed F. Alajmi, Afzal Hussain, Ghazala Muteeb, Md. Imtaiyaz Hassan, Moyad Shahwan, Asad U. Khan, Fohad Mabood Husain, Mohammad Aatif, Mohd Shahnawaz Khan and Taj Mohammad. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of The Electrochemical Society.
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.