Dipta Dey

1.3k citations
31 papers · 867 indexed · h-index 21

Impact in

Papers in

Dipta Dey

30 papers receiving 849 citations

Peers

Dipta Dey
Comparison fields: 5 of 105
  • Biochemistry 89
  • Computational Theory and Mathematics 207
  • Complementary and alternative medicine 85
  • Pharmacology 78
  • Toxicology 30
Replace Ramakrishna Vadde with:
Ramakrishna Vadde India
Abdelbaset Mohamed Elasbali Saudi Arabia
MD. Hasanur Rahman Bangladesh
Wafa Ali Eltayb Sudan
Partha Biswas Bangladesh
Lekshmi R. Nath India
Shashanka K. Prasad India
Dina M. El‐Kersh Egypt
Md Sohel Bangladesh
Iqra Sarfraz Pakistan
Dipta Dey relative to Ramakrishna Vadde India Ramakrishna Vadde's profile →
Citations per field
00.5×
Ramakrishna Vadde · 1×
Citations per year

Countries citing papers authored by Dipta Dey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dipta Dey Line = papers co-authored together Dipta Dey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022122
2 202357
3 202256
4 202253
5 202150
6 202149
7 202338
8 202236
9 202134
10 202233
11 202232
12 202131
13 202128
14 202127
15 202225
16 202325
17 202123
18 202122
19 202222
20 202221

About Dipta Dey

Dipta Dey is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Oncology and Pharmacology, having authored 31 papers that have together received 867 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Phytochemicals and Antioxidant Activities (3 papers), Natural product bioactivities and synthesis (2 papers), Retinoids in leukemia and cellular processes (2 papers), Plant biochemistry and biosynthesis (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Biochemistry (89 citations), Computational Theory and Mathematics (207 citations), Complementary and alternative medicine (85 citations), Pharmacology (78 citations) and Toxicology (30 citations). Dipta Dey has collaborated with scholars based in Bangladesh, South Korea and China. Frequent co-authors include Partha Biswas, Bonglee Kim, Shabana Bibi, Md. Ataur Rahman, Salauddin Al Azad, Md. Nazmul Hasan, Priyanka Paul, Mohammad Mehedi Hasan, Tanzila Ismail Ema and Md Sohel. Their work appears in journals such as Molecular Diversity, Molecules, Frontiers in Oncology, Heliyon and Journal of Personalized Medicine.

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.

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