Subhash Mohan Agarwal
Impact in
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- Computational Drug Discovery Methods
- Toxicology top 5%
Papers in
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- Cancer therapeutics and mechanisms 5
- RNA modifications and cancer 5
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- Computational Drug Discovery Methods 19
- Co-authors
- Gajendra P. S. Raghava (5 shared papers)Harinder Singh (4 shared papers)Manu Mangal (3 shared papers)Amir Azam (8 shared papers)Prajwal P. Nandekar (4 shared papers)Amir Azam (3 shared papers)Garima Sharma (2 shared papers)Fernando Avecilla (4 shared papers)
- Journals
- RSC Advances (6 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Anti-Cancer Agents in Medicinal Chemistry (2 papers)Gene (2 papers)Molecular BioSystems (2 papers)
- Partner nations
- IndiaSpainUnited Kingdom
In The Last Decade
Subhash Mohan Agarwal
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 369
- Toxicology 40
- Organic Chemistry 322
- Horticulture 10
- Parasitology 64
Countries citing papers authored by Subhash Mohan Agarwal
This map shows the geographic impact of Subhash Mohan Agarwal'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 Subhash Mohan Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Mohan Agarwal more than expected).
Fields of papers citing papers by Subhash Mohan Agarwal
This network shows the impact of papers produced by Subhash Mohan Agarwal. 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 Subhash Mohan Agarwal. The network helps show where Subhash Mohan Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhash Mohan Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 229 | |
| 2 | 2010 | 67 | |
| 3 | 2015 | 62 | |
| 4 | 2013 | 57 | |
| 5 | 2014 | 54 | |
| 6 | 2014 | 54 | |
| 7 | 2019 | 53 | |
| 8 | 2016 | 50 | |
| 9 | 2007 | 44 | |
| 10 | 2013 | 41 | |
| 11 | 2015 | 41 | |
| 12 | 2007 | 39 | |
| 13 | 2023 | 38 | |
| 14 | 1992 | 37 | |
| 15 | 2014 | 34 | |
| 16 | 2005 | 31 | |
| 17 | 2007 | 30 | |
| 18 | 2012 | 28 | |
| 19 | 2015 | 27 | |
| 20 | 2016 | 23 |
About Subhash Mohan Agarwal
Subhash Mohan Agarwal is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Oncology, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Synthesis and biological activity (8 papers), Amoebic Infections and Treatments (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Cancer-related molecular mechanisms research (6 papers), Cancer therapeutics and mechanisms (5 papers), Lung Cancer Treatments and Mutations (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Computational Theory and Mathematics (369 citations), Toxicology (40 citations), Organic Chemistry (322 citations), Horticulture (10 citations) and Parasitology (64 citations). Subhash Mohan Agarwal has collaborated with scholars based in India, Spain and United Kingdom. Frequent co-authors include Gajendra P. S. Raghava, Harinder Singh, Manu Mangal, Amir Azam, Prajwal P. Nandekar, Amir Azam, Garima Sharma, Fernando Avecilla, Mohammad Abid and Deepak Singla. Their work appears in journals such as RSC Advances, Bioorganic & Medicinal Chemistry Letters, Anti-Cancer Agents in Medicinal Chemistry, Gene and Molecular BioSystems.
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.