Debleena Dey
Impact in
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- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
- Aquatic Science top 10%
Papers in
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- Peroxisome Proliferator-Activated Receptors 4
- Metabolism, Diabetes, and Cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
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- Adipose Tissue and Metabolism 3
- Alzheimer's disease research and treatments 2
- Co-authors
- Samir Bhattacharya (6 shared papers)Sib Sankar Roy (5 shared papers)Dipanjan Basu (3 shared papers)Arun Bandyopadhyay (3 shared papers)Charles A. Ettensohn (1 shared paper)Madepalli K. Lakshmana (3 shared papers)Dmitriy Minond (2 shared papers)Malabika Datta (1 shared paper)
- Journals
- PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (1 paper)BMC Medicine (1 paper)Journal of Biological Chemistry (1 paper)Journal of Biosciences (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Debleena Dey
14 papers receiving 371 citations
Peers
Comparison fields: 5 of 78
- Physiology 103
- Aquatic Science 30
- Endocrinology, Diabetes and Metabolism 46
- Physiology 11
- Molecular Biology 162
Countries citing papers authored by Debleena Dey
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 86 | |
| 2 | 2006 | 56 | |
| 3 | 2005 | 47 | |
| 4 | 2013 | 41 | |
| 5 | 2016 | 24 | |
| 6 | 2007 | 24 | |
| 7 | 2013 | 21 | |
| 8 | Nutritionally induced insulin resistance in an Indian perch : a possible model for type 2 diabetes | 2006 | 19 |
| 9 | 2014 | 18 | |
| 10 | 2006 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2012 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2013 | 4 |
About Debleena Dey
Debleena Dey is a scholar working on Molecular Biology, Physiology, Biochemistry, Nephrology and Pharmacology, having authored 14 papers that have together received 376 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Alzheimer's disease research and treatments (2 papers), Lipid metabolism and biosynthesis (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Physiology (103 citations), Aquatic Science (30 citations), Endocrinology, Diabetes and Metabolism (46 citations), Physiology (11 citations) and Molecular Biology (162 citations). Debleena Dey has collaborated with scholars based in India, United States and Japan. 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 Anirban Bhattacharya. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, BMC Medicine, Journal of Biological Chemistry and Journal of Biosciences.
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.