Dipta Dey
Impact in
- Drug Discovery top 10%
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 12
-
- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Partha Biswas (23 shared papers)Shabana Bibi (9 shared papers)Bonglee Kim (9 shared papers)Md. Ataur Rahman (9 shared papers)Salauddin Al Azad (6 shared papers)Md. Nazmul Hasan (10 shared papers)Mohammad Mehedi Hasan (5 shared papers)Md Sohel (4 shared papers)
- Journals
- Molecular Diversity (3 papers)Molecules (2 papers)Frontiers in Oncology (2 papers)Pharmaceuticals (1 paper)Frontiers of Agricultural Science and Engineering (1 paper)
- Partner nations
- BangladeshChinaSouth Korea
In The Last Decade
Dipta Dey
28 papers receiving 982 citations
Dipta Dey's Hit Papers
Peers
Comparison fields: 5 of 90
- Drug Discovery 9
- Computational Theory and Mathematics 291
- Pharmacology 122
- Biochemistry 54
- Complementary and alternative medicine 51
Countries citing papers authored by Dipta Dey
This map shows the geographic impact of Dipta Dey'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 Dipta Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipta Dey more than expected).
Fields of papers citing papers by Dipta Dey
This network shows the impact of papers produced by Dipta Dey. 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 Dipta Dey. The network helps show where Dipta Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipta Dey, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Analysis and Anti-Cancer Activities of Quercetin in ROS-Mediated Cancer and Cancer Stem Cells Hit paper breakdown → | 2022 | 151 |
| 2 | 2023 | 68 | |
| 3 | 2022 | 65 | |
| 4 | 2022 | 62 | |
| 5 | 2021 | 57 | |
| 6 | 2021 | 55 | |
| 7 | 2023 | 46 | |
| 8 | 2022 | 43 | |
| 9 | 2021 | 41 | |
| 10 | 2022 | 38 | |
| 11 | 2022 | 38 | |
| 12 | 2022 | 33 | |
| 13 | 2023 | 33 | |
| 14 | 2021 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2021 | 30 | |
| 17 | 2021 | 30 | |
| 18 | 2022 | 27 | |
| 19 | 2021 | 24 | |
| 20 | 2021 | 23 |
About Dipta Dey
Dipta Dey is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Complementary and alternative medicine, Pharmacology and Plant Science, having authored 30 papers that have together received 1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Medicinal Plant Research (6 papers), Phytochemicals and Medicinal Plants (3 papers), Bioactive natural compounds (2 papers), Flavonoids in Medical Research (2 papers), Antimicrobial Peptides and Activities (1 paper) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Drug Discovery (9 citations), Computational Theory and Mathematics (291 citations), Pharmacology (122 citations), Biochemistry (54 citations) and Complementary and alternative medicine (51 citations). Dipta Dey has collaborated with scholars based in Bangladesh, China and South Korea. Frequent co-authors include Partha Biswas, Shabana Bibi, Bonglee Kim, Md. Ataur Rahman, Salauddin Al Azad, Md. Nazmul Hasan, Mohammad Mehedi Hasan, Md Sohel, Tanzila Ismail Ema and Tanjim Ishraq Rahaman. Their work appears in journals such as Molecular Diversity, Molecules, Frontiers in Oncology, Pharmaceuticals and Frontiers of Agricultural Science and Engineering.
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.