Debleena Dey

460 total citations
12 papers, 352 citations indexed

About

Debleena Dey is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Debleena Dey has authored 12 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Physiology and 2 papers in Biochemistry. Recurrent topics in Debleena Dey's work include Peroxisome Proliferator-Activated Receptors (4 papers), Alzheimer's disease research and treatments (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Debleena Dey is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), Alzheimer's disease research and treatments (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Debleena Dey collaborates with scholars based in India, United States and Japan. Debleena Dey's co-authors include Samir Bhattacharya, Sib Sankar Roy, Dipanjan Basu, Arun Bandyopadhyay, Charles A. Ettensohn, Madepalli K. Lakshmana, Dmitriy Minond, Malabika Datta, Hongjie Wang and Crystal D. Hayes and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Debleena Dey

12 papers receiving 348 citations

Peers

Debleena Dey
Aurore Vluggens United States
Linda M. Sanderson Netherlands
Woo Je Lee South Korea
Weijie Yi China
Min Sung Joo South Korea
Debleena Dey
Citations per year, relative to Debleena Dey Debleena Dey (= 1×) peers Abdelmadjid K. Hihi

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-authorship network of co-authors of Debleena Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Debleena Dey. A scholar is included among the top collaborators of Debleena Dey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debleena Dey. Debleena Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ettensohn, Charles A. & Debleena Dey. (2016). KirrelL, a member of the Ig-domain superfamily of adhesion proteins, is essential for fusion of primary mesenchyme cells in the sea urchin embryo. Developmental Biology. 421(2). 258–270. 24 indexed citations
2.
Das, Arijit, et al.. (2016). Effects of Cilnidipine on Heart Rate and Uric Acid Metabolism in Patients With Essential Hypertension. Cardiology Research. 7(5). 167–172. 11 indexed citations
3.
Dey, Debleena, Iván Carrera, Dmitriy Minond, et al.. (2013). COPS5 (Jab1) Protein Increases β Site Processing of Amyloid Precursor Protein and Amyloid β Peptide Generation by Stabilizing RanBP9 Protein Levels. Journal of Biological Chemistry. 288(37). 26668–26677. 21 indexed citations
4.
Hayes, Crystal D., Debleena Dey, Juan Pablo Palavicini, et al.. (2013). Striking reduction of amyloid plaque burden in an Alzheimer's mouse model after chronic administration of carmustine. BMC Medicine. 11(1). 41 indexed citations
5.
Hayes, Crystal D., Debleena Dey, Juan Pablo Palavicini, et al.. (2012). Chronic Cladribine Administration Increases Amyloid Beta Peptide Generation and Plaque Burden in Mice. PLoS ONE. 7(10). e45841–e45841. 5 indexed citations
6.
Kumar, Satish, Debleena Dey, & Gaiti Hasan. (2011). Patterns of Gene Expression in Drosophila InsP3 Receptor Mutant Larvae Reveal a Role for InsP3 Signaling in Carbohydrate and Energy Metabolism. PLoS ONE. 6(8). e24105–e24105. 5 indexed citations
7.
Dey, Debleena, et al.. (2007). Fatty acid represses insulin receptor gene expression by impairing HMGA1 through protein kinase Cε. Biochemical and Biophysical Research Communications. 357(2). 474–479. 24 indexed citations
8.
Bhattacharya, Samir, Debleena Dey, & Sib Sankar Roy. (2007). Molecular mechanism of insulin resistance. Journal of Biosciences. 32(2). 405–413. 86 indexed citations
9.
Dey, Debleena, et al.. (2006). Nutritionally induced insulin resistance in an Indian perch : a possible model for type 2 diabetes. Current Science. 90(2). 188–194. 19 indexed citations
10.
Dey, Debleena, Dipanjan Basu, Sib Sankar Roy, Arun Bandyopadhyay, & Samir Bhattacharya. (2006). Involvement of novel PKC isoforms in FFA induced defects in insulin signaling. Molecular and Cellular Endocrinology. 246(1-2). 60–64. 56 indexed citations
11.
Dey, Debleena, Bikash C. Pal, Sib Sankar Roy, et al.. (2006). A Lupinoside prevented fatty acid induced inhibition of insulin sensitivity in 3T3 L1 adipocytes. Molecular and Cellular Biochemistry. 300(1-2). 149–157. 13 indexed citations
12.
Dey, Debleena, Dipanjan Basu, Malabika Datta, et al.. (2005). Inhibition of Insulin Receptor Gene Expression and Insulin Signaling by Fatty Acid: Interplay of PKC Isoforms Therein. Cellular Physiology and Biochemistry. 16(4-6). 217–228. 47 indexed citations

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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