Subrata Deb

1.5k citations
53 papers · 1.1k · h-index 18

Impact in

Papers in

    • Ginseng Biological Effects and Applications 8
    • Pharmacogenetics and Drug Metabolism 9
    • Pharmacological Effects of Natural Compounds 5

Subrata Deb

52 papers receiving 1.1k citations

Peers

Subrata Deb
Comparison fields: 5 of 106
  • Pharmacology 139
  • Pathology and Forensic Medicine 144
  • Endocrinology, Diabetes and Metabolism 106
  • Endocrinology 33
  • Molecular Medicine 31
Replace Hitoshi Ishizuka with:
Hitoshi Ishizuka Japan
Shih‐Lu Wu Taiwan
Jillian Orans United States
Michele Scian United States
Ni Ai United States
Robert S. Jansen Netherlands
Genta Kakiyama United States
Damodar Gupta India
Yongmei Li China
Subrata Deb relative to Hitoshi Ishizuka Japan Hitoshi Ishizuka's profile →
Citations per field
00.5×8.3×
Hitoshi Ishizuka · 1×
Citations per year

Countries citing papers authored by Subrata Deb

Since Specialization
Citations

This map shows the geographic impact of Subrata Deb'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 Subrata Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subrata Deb more than expected).

Fields of papers citing papers by Subrata Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subrata Deb. 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 Subrata Deb. The network helps show where Subrata Deb may publish in the future.

Co-authors

The 25 scholars most cited alongside Subrata Deb, 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 Subrata Deb Line = papers co-authored together Subrata Deb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021141
2 1986138
3 202362
4 202162
5 201741
6 202141
7 202139
8 201237
9 201631
10 201526
11 202124
12 202023
13 201423
14 201820
15 201320
16 202020
17 202219
18 202417
19 201417
20 201317

About Subrata Deb

Subrata Deb is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Genetics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Ginseng Biological Effects and Applications (8 papers), Vitamin D Research Studies (7 papers), Estrogen and related hormone effects (6 papers), Prostate Cancer Treatment and Research (6 papers), COVID-19 Clinical Research Studies (5 papers), Pharmacological Effects of Natural Compounds (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Pharmacology (139 citations), Pathology and Forensic Medicine (144 citations), Endocrinology, Diabetes and Metabolism (106 citations), Endocrinology (33 citations) and Molecular Medicine (31 citations). Subrata Deb has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Debasish Basak, Emma S. Tomlinson Guns, Mohamed Ben‐Eltriki, Hans Adomat, Stelvio M. Bandiera, T J MacAlister, B Glauner, Prashant Sakharkar, Lawrence Rothfield and Mei Yieng Chin. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Journal of Pharmacy & Pharmaceutical Sciences, Life, Cancers 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.

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