Supriyo Saha
Impact in
- Drug Discovery top 2%
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- Computational Drug Discovery Methods 17
- Co-authors
- Dilipkumar PalSarkar M. A. KawsarYasuhiro OzekiSatish Balasaheb NimseMubarak A. AlamriSumeer AhmedAjmal R. BhatSushil Kumar
- Journals
- Molecules (2 papers)International Journal of Pharmacy and Pharmaceutical Sciences (2 papers)Current Drug Targets (2 papers)Saudi Pharmaceutical Journal (1 paper)Bioorganic Chemistry (1 paper)
- Partner nations
- IndiaBangladeshSaudi Arabia
In The Last Decade
Supriyo Saha
42 papers receiving 361 citations
Peers
Comparison fields: 5 of 85
- Drug Discovery 5
- Toxicology 21
- Computational Theory and Mathematics 81
- Organic Chemistry 141
- Molecular Medicine 22
Countries citing papers authored by Supriyo Saha
This map shows the geographic impact of Supriyo Saha'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 Supriyo Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriyo Saha more than expected).
Fields of papers citing papers by Supriyo Saha
This network shows the impact of papers produced by Supriyo Saha. 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 Supriyo Saha. The network helps show where Supriyo Saha may publish in the future.
Co-authors
The 25 scholars most cited alongside Supriyo Saha, 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 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 27 | |
| 18 | 2015 | 3 | |
| 19 | 2012 | 41 | |
| 20 | Design Strategy of Some Novel Tetrahydroquinoline Analogs asPotential Non-Nucleoside Reverse Transcriptase Inhibitors | 2010 | 1 |
About Supriyo Saha
Supriyo Saha is a scholar working on Drug Discovery, Computational Theory and Mathematics, Toxicology, Organic Chemistry and Pharmacology, having authored 52 papers that have together received 378 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Synthesis and biological activity (14 papers), Click Chemistry and Applications (7 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Natural Antidiabetic Agents Studies (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Drug Discovery (5 citations), Toxicology (21 citations), Computational Theory and Mathematics (81 citations), Organic Chemistry (141 citations) and Molecular Medicine (22 citations). Supriyo Saha has collaborated with scholars based in India, Bangladesh and Saudi Arabia. Frequent co-authors include Dilipkumar Pal, Sarkar M. A. Kawsar, Yasuhiro Ozeki, Satish Balasaheb Nimse, Mubarak A. Alamri, Sumeer Ahmed, Ajmal R. Bhat, Sushil Kumar, Emad M. Abdallah and Vikash Jakhmola. Their work appears in journals such as Molecules, International Journal of Pharmacy and Pharmaceutical Sciences, Current Drug Targets, Saudi Pharmaceutical Journal and Bioorganic Chemistry.
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.