Mohammad Imran Siddiqi
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Public Health, Environmental and Occupational Health top 2%
- Computational Theory and Mathematics top 1%
- Epidemiology top 10%
- Co-authors
- Vikash KumarAshutosh KumarShagun KrishnaPriyanka ShahTanuj SharmaSaman HabibDibyendu BanerjeeNidhi Singh
- Topics
- Computational Drug Discovery Methods (40 papers)Research on Leishmaniasis Studies (25 papers)Biochemical and Molecular Research (20 papers)
- Partner nations
- IndiaUnited KingdomPoland
In The Last Decade
Mohammad Imran Siddiqi
180 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.3k
- Organic Chemistry 1.0k
- Public Health, Environmental and Occupational Health 655
- Computational Theory and Mathematics 540
- Epidemiology 448
Countries citing papers authored by Mohammad Imran Siddiqi
This map shows the geographic impact of Mohammad Imran Siddiqi'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 Mohammad Imran Siddiqi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Imran Siddiqi more than expected).
Fields of papers citing papers by Mohammad Imran Siddiqi
This network shows the impact of papers produced by Mohammad Imran Siddiqi. 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 Mohammad Imran Siddiqi. The network helps show where Mohammad Imran Siddiqi may publish in the future.
Co-authorship network of co-authors of Mohammad Imran Siddiqi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Imran Siddiqi. A scholar is included among the top collaborators of Mohammad Imran Siddiqi 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 Mohammad Imran Siddiqi. Mohammad Imran Siddiqi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 41 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 30 | |
| 11 | 4 | |
| 12 | 41 | |
| 13 | 15 | |
| 14 | 16 | |
| 15 | 23 | |
| 16 | 6 | |
| 17 | 24 | |
| 18 | 35 | |
| 19 | 18 | |
| 20 | 34 |
About Mohammad Imran Siddiqi
Mohammad Imran Siddiqi is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 186 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Research on Leishmaniasis Studies (25 papers) and Biochemical and Molecular Research (20 papers). The work is most often cited by research in Organic Chemistry (1.0k citations), Computational Theory and Mathematics (540 citations) and Parasitology (184 citations). Mohammad Imran Siddiqi has collaborated with scholars based in India, United Kingdom and Poland. Frequent co-authors include Vikash Kumar, Ashutosh Kumar, Shagun Krishna, Priyanka Shah, Tanuj Sharma, Saman Habib, Dibyendu Banerjee, Nidhi Singh, Koneni V. Sashidhara and Anuradha Dube. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.
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.