Debapriya Basu

1.6k total citations
17 papers, 765 citations indexed

About

Debapriya Basu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Debapriya Basu has authored 17 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Cardiology and Cardiovascular Medicine and 5 papers in Molecular Biology. Recurrent topics in Debapriya Basu's work include Lipid metabolism and disorders (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Cancer, Lipids, and Metabolism (4 papers). Debapriya Basu is often cited by papers focused on Lipid metabolism and disorders (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Cancer, Lipids, and Metabolism (4 papers). Debapriya Basu collaborates with scholars based in United States, Australia and Netherlands. Debapriya Basu's co-authors include Ira J. Goldberg, Weijun Jin, Adam E. Mullick, Xia Lei, Karin Bornfeldt, Lesley-Ann Huggins, Dmitri Samovski, Nada A. Abumrad, Ainara G. Cabodevilla and Robert Day and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Debapriya Basu

16 papers receiving 758 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Debapriya Basu United States 12 339 331 212 210 177 17 765
Sara Simonelli Italy 17 423 1.2× 231 0.7× 515 2.4× 200 1.0× 184 1.0× 28 884
Kati Ylitalo Finland 16 365 1.1× 312 0.9× 356 1.7× 212 1.0× 97 0.5× 22 910
Tetsu Ebara Japan 17 363 1.1× 301 0.9× 261 1.2× 233 1.1× 114 0.6× 28 805
José C. Sandoval Japan 10 212 0.6× 171 0.5× 306 1.4× 195 0.9× 112 0.6× 13 674
Jeffery T. Billheimer United States 7 297 0.9× 121 0.4× 448 2.1× 224 1.1× 144 0.8× 8 818
Tomohiro Komatsu Japan 16 177 0.5× 122 0.4× 320 1.5× 212 1.0× 114 0.6× 46 689
Lionel C. Clément United States 11 119 0.4× 226 0.7× 173 0.8× 343 1.6× 106 0.6× 17 1.1k
Felicia Y. T. Yap Australia 12 495 1.5× 102 0.3× 266 1.3× 209 1.0× 64 0.4× 15 1.0k
Shahida Shafi United Kingdom 14 139 0.4× 198 0.6× 193 0.9× 325 1.5× 82 0.5× 29 808
Taichi Sugizaki Japan 16 171 0.5× 171 0.5× 208 1.0× 270 1.3× 95 0.5× 22 794

Countries citing papers authored by Debapriya Basu

Since Specialization
Citations

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

Fields of papers citing papers by Debapriya Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debapriya Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Debapriya Basu. A scholar is included among the top collaborators of Debapriya Basu 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 Debapriya Basu. Debapriya Basu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Basu, Debapriya. (2024). Palmitoylethanolamide, an endogenous fatty acid amide, and its pleiotropic health benefits: A narrative review. Journal of Biomedical Research. 39(3). 215–215. 2 indexed citations
2.
Mondal, Susanta, et al.. (2024). Application of Nanotechnology in Cancer Therapy: Potential and Limitations. 1(2). 76–89.
3.
Basu, Debapriya, et al.. (2022). Angiopoietin-like 3: An important protein in regulating lipoprotein levels. Best Practice & Research Clinical Endocrinology & Metabolism. 37(3). 101688–101688. 13 indexed citations
4.
Josefs, Tatjana, Debapriya Basu, Tomáš Vaisar, et al.. (2021). Atherosclerosis Regression and Cholesterol Efflux in Hypertriglyceridemic Mice. Circulation Research. 128(6). 690–705. 14 indexed citations
5.
Goldberg, Ira J., Ainara G. Cabodevilla, Dmitri Samovski, et al.. (2021). Lipolytic enzymes and free fatty acids at the endothelial interface. Atherosclerosis. 329. 1–8. 21 indexed citations
6.
Abumrad, Nada A., Ainara G. Cabodevilla, Dmitri Samovski, et al.. (2021). Endothelial Cell Receptors in Tissue Lipid Uptake and Metabolism. Circulation Research. 128(3). 433–450. 79 indexed citations
7.
Basu, Debapriya & Ira J. Goldberg. (2020). Regulation of lipoprotein lipase-mediated lipolysis of triglycerides. Current Opinion in Lipidology. 31(3). 154–160. 74 indexed citations
8.
Basu, Debapriya & Karin Bornfeldt. (2020). Hypertriglyceridemia and Atherosclerosis: Using Human Research to Guide Mechanistic Studies in Animal Models. Frontiers in Endocrinology. 11. 28 indexed citations
9.
Basu, Debapriya, Tatjana Josefs, Edward A. Fisher, & Ira J. Goldberg. (2019). Effect Of Lipoprotein Lipase (Lpl) Deletion On Atherosclerosis Regression. Atherosclerosis. 287. e61–e61. 1 indexed citations
10.
Basu, Debapriya, Lesley-Ann Huggins, Diego Scerbo, et al.. (2018). Mechanism of Increased LDL (Low-Density Lipoprotein) and Decreased Triglycerides With SGLT2 (Sodium-Glucose Cotransporter 2) Inhibition. Arteriosclerosis Thrombosis and Vascular Biology. 38(9). 2207–2216. 111 indexed citations
11.
Basu, Debapriya, Yunying Hu, Lesley-Ann Huggins, et al.. (2018). Novel Reversible Model of Atherosclerosis and Regression Using Oligonucleotide Regulation of the LDL Receptor. Circulation Research. 122(4). 560–567. 46 indexed citations
12.
Gordts, Philip L.S.M., Ni-Huiping Son, Bastian Ramms, et al.. (2016). ApoC-III inhibits clearance of triglyceride-rich lipoproteins through LDL family receptors. Journal of Clinical Investigation. 126(8). 2855–2866. 193 indexed citations
13.
Basu, Debapriya, et al.. (2015). Hepatic S1P deficiency lowers plasma cholesterol levels in apoB-containing lipoproteins when LDLR function is compromised. Nutrition & Metabolism. 12(1). 35–35. 4 indexed citations
14.
Lei, Xia, Debapriya Basu, Zhiqiang Li, et al.. (2014). Hepatic overexpression of the prodomain of furin lessens progression of atherosclerosis and reduces vascular remodeling in response to injury. Atherosclerosis. 236(1). 121–130. 15 indexed citations
15.
Basu, Debapriya, et al.. (2012). Measurement of the phospholipase activity of endothelial lipase in mouse plasma. Journal of Lipid Research. 54(1). 282–289. 8 indexed citations
16.
Lei, Xia, Fujun Shi, Debapriya Basu, et al.. (2011). Proteolytic Processing of Angiopoietin-like Protein 4 by Proprotein Convertases Modulates Its Inhibitory Effects on Lipoprotein Lipase Activity. Journal of Biological Chemistry. 286(18). 15747–15756. 115 indexed citations
17.
Basu, Debapriya, et al.. (2011). Determination of lipoprotein lipase activity using a novel fluorescent lipase assay. Journal of Lipid Research. 52(4). 826–832. 41 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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