Ritesh Agrawal
- Molecular Medicine top 2%
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- Diabetes Treatment and Management 5
- Pituitary Gland Disorders and Treatments 2
- Natural Antidiabetic Agents Studies 2
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- Computational Drug Discovery Methods 7
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- Peptidase Inhibition and Analysis 3
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- RNA and protein synthesis mechanisms 3
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- Synthesis and biological activity 2
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- Neuropeptides and Animal Physiology 2
- Co-authors
- R. S. RaySita Sharan PatelPriyal JainNeeraj Kumar SethiyaS.H. MishraGaurav MalhotraPriyanka VermaRamesh Asopa
- Journals
- Current Drug Targets (3 papers)Combinatorial Chemistry & High Throughput Screening (2 papers)Mini-Reviews in Medicinal Chemistry (2 papers)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Ritesh Agrawal
37 papers receiving 734 citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Medicine 177
- Endocrinology, Diabetes and Metabolism 155
- Biochemistry 28
- Pharmacology 39
- Pharmaceutical Science 25
Countries citing papers authored by Ritesh Agrawal
This map shows the geographic impact of Ritesh Agrawal'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 Ritesh Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritesh Agrawal more than expected).
Fields of papers citing papers by Ritesh Agrawal
This network shows the impact of papers produced by Ritesh Agrawal. 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 Ritesh Agrawal. The network helps show where Ritesh Agrawal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ritesh Agrawal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 4 | |
| 9 | Inter-District Disparities in Human Development in Chhattisgarh | 2016 | 1 |
| 10 | 2014 | 71 | |
| 11 | 2013 | 3 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 6 | |
| 14 | 2012 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2012 | 14 | |
| 17 | 2012 | 16 | |
| 18 | 2010 | 14 | |
| 19 | 2007 | 5 | |
| 20 | 2005 | 13 |
About Ritesh Agrawal
Ritesh Agrawal is a scholar working on Endocrinology, Diabetes and Metabolism, Aging and Computational Theory and Mathematics, having authored 44 papers that have together received 750 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Diabetes Treatment and Management (5 papers), Peptidase Inhibition and Analysis (3 papers), RNA and protein synthesis mechanisms (3 papers), Synthesis and biological activity (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Molecular Medicine (177 citations), Endocrinology, Diabetes and Metabolism (155 citations) and Biochemistry (28 citations). Ritesh Agrawal has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include R. S. Ray, Sita Sharan Patel, Priyal Jain, Neeraj Kumar Sethiya, S.H. Mishra, Gaurav Malhotra, Priyanka Verma, Ramesh Asopa, Gary D. Stormo and Saroj Kanta Mishra. Their work appears in journals such as Current Drug Targets, Combinatorial Chemistry & High Throughput Screening, Mini-Reviews in Medicinal Chemistry, Injury and Recent Patents on Anti-Cancer Drug Discovery.
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.