Debleena Dey

460 citations
12 papers · 352 · h-index 10

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Metabolism, Diabetes, and Cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Alzheimer's disease research and treatments 3
    • Adipose Tissue and Metabolism 3

Debleena Dey

12 papers receiving 348 citations

Peers

Debleena Dey
Comparison fields: 5 of 77
  • Physiology 118
  • Aquatic Science 31
  • Endocrinology, Diabetes and Metabolism 52
  • Molecular Biology 186
  • Physiology 11
Replace Junxia Guo with:
Junxia Guo China
Aurore Vluggens United States
Michel Rigoulet France
Min Sung Joo South Korea
Woo Je Lee South Korea
Liu Ming China
Nadja Schulz Germany
Weijie Yi China
Linda M. Sanderson Netherlands
Wojciech G. Garbacz United States
Debleena Dey relative to Junxia Guo China Junxia Guo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Debleena Dey

Since Specialization
Citations

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

Fields of papers citing papers by Debleena Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200786
2 200656
3 200547
4 201341
5 201624
6 200724
7 201321
8
Nutritionally induced insulin resistance in an Indian perch : a possible model for type 2 diabetes
200619
9 200613
10 201611
11 20125
12 20115

About Debleena Dey

Debleena Dey is a scholar working on Molecular Biology, Physiology, Biochemistry, Nephrology and Pharmacology, having authored 12 papers that have together received 352 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Alzheimer's disease research and treatments (3 papers), Adipose Tissue and Metabolism (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Lipid metabolism and biosynthesis (2 papers), Diet, Metabolism, and Disease (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Physiology (118 citations), Aquatic Science (31 citations), Endocrinology, Diabetes and Metabolism (52 citations), Molecular Biology (186 citations) and Physiology (11 citations). Debleena Dey has collaborated with scholars based in India, United States and Bulgaria. Frequent co-authors include Samir Bhattacharya, Sib Sankar Roy, Dipanjan Basu, Arun Bandyopadhyay, Charles A. Ettensohn, Madepalli K. Lakshmana, Dmitriy Minond, Malabika Datta, Crystal D. Hayes and Hongjie Wang. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biochemistry, Journal of Biosciences, Journal of Biological Chemistry and BMC 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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