Dipta Dey
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
-
- Computational Drug Discovery Methods
Papers in
-
- Retinoids in leukemia and cellular processes 2
- Biological Activity of Diterpenoids and Biflavonoids 2
- Natural product bioactivities and synthesis 2
-
- Computational Drug Discovery Methods 7
- Co-authors
- Partha Biswas (21 shared papers)Bonglee Kim (9 shared papers)Shabana Bibi (8 shared papers)Md. Ataur Rahman (9 shared papers)Salauddin Al Azad (6 shared papers)Md. Nazmul Hasan (10 shared papers)Priyanka Paul (10 shared papers)Mohammad Mehedi Hasan (5 shared papers)
- Journals
- Molecular Diversity (3 papers)Frontiers in Oncology (2 papers)Heliyon (2 papers)Molecules (2 papers)Pharmaceuticals (1 paper)
- Partner nations
- BangladeshChinaSouth Korea
In The Last Decade
Dipta Dey
30 papers receiving 906 citations
Peers
Comparison fields: 5 of 105
- Biochemistry 75
- Computational Theory and Mathematics 186
- Complementary and alternative medicine 76
- Pharmacology 67
- Molecular Medicine 38
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 137 | |
| 2 | 2023 | 61 | |
| 3 | 2022 | 58 | |
| 4 | 2022 | 57 | |
| 5 | 2021 | 52 | |
| 6 | 2021 | 50 | |
| 7 | 2023 | 42 | |
| 8 | 2022 | 38 | |
| 9 | 2021 | 37 | |
| 10 | 2022 | 35 | |
| 11 | 2022 | 33 | |
| 12 | 2021 | 31 | |
| 13 | 2021 | 28 | |
| 14 | 2021 | 28 | |
| 15 | 2022 | 28 | |
| 16 | 2021 | 28 | |
| 17 | 2023 | 27 | |
| 18 | 2021 | 23 | |
| 19 | 2021 | 23 | |
| 20 | 2022 | 22 |
About Dipta Dey
Dipta Dey is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Pharmacology and Oncology, having authored 31 papers that have together received 925 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Phytochemicals and Antioxidant Activities (3 papers), Retinoids in leukemia and cellular processes (2 papers), Biological Activity of Diterpenoids and Biflavonoids (2 papers), Flavonoids in Medical Research (2 papers), Estrogen and related hormone effects (2 papers), Natural product bioactivities and synthesis (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Biochemistry (75 citations), Computational Theory and Mathematics (186 citations), Complementary and alternative medicine (76 citations), Pharmacology (67 citations) and Molecular Medicine (38 citations). Dipta Dey has collaborated with scholars based in Bangladesh, China and South Korea. Frequent co-authors include Partha Biswas, Bonglee Kim, Shabana Bibi, Md. Ataur Rahman, Salauddin Al Azad, Md. Nazmul Hasan, Priyanka Paul, Mohammad Mehedi Hasan, Md Sohel and Tanzila Ismail Ema. Their work appears in journals such as Molecular Diversity, Frontiers in Oncology, Heliyon, Molecules and Pharmaceuticals.
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.