Padmaja Dhanasekaran
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 18
- Surgery top 5%
- Cholesterol and Lipid Metabolism 17
- Lipoproteins and Cardiovascular Health 7
- Biochemistry top 2%
- Molecular Biology top 5%
- Peroxisome Proliferator-Activated Receptors 23
- Protein Structure and Dynamics 7
- Lipid Membrane Structure and Behavior 6
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 5
-
- Drug Transport and Resistance Mechanisms 5
- Co-authors
- Michael C. PhillipsSissel Lund‐KatzHiroyuki SaitoDavid NguyenMargaret NickelGeorge H. RothblatKarl H. WeisgraberCharulatha Vedhachalam
- Journals
- Journal of Biological Chemistry (14 papers)Biochemistry (13 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesJapanBelgium
In The Last Decade
Padmaja Dhanasekaran
38 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 766
- Surgery 1.1k
- Biochemistry 178
- Molecular Biology 1.3k
- Cancer Research 260
Countries citing papers authored by Padmaja Dhanasekaran
This map shows the geographic impact of Padmaja Dhanasekaran'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 Padmaja Dhanasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padmaja Dhanasekaran more than expected).
Fields of papers citing papers by Padmaja Dhanasekaran
This network shows the impact of papers produced by Padmaja Dhanasekaran. 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 Padmaja Dhanasekaran. The network helps show where Padmaja Dhanasekaran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Padmaja Dhanasekaran, 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 | 2013 | 30 | |
| 2 | 2012 | 36 | |
| 3 | 2011 | 28 | |
| 4 | 2010 | 39 | |
| 5 | 2010 | 22 | |
| 6 | 2009 | 21 | |
| 7 | 2009 | 33 | |
| 8 | 2007 | 279 | |
| 9 | 2004 | 70 | |
| 10 | 2004 | 109 | |
| 11 | 2004 | 74 | |
| 12 | 2004 | 85 | |
| 13 | 2004 | 69 | |
| 14 | 2003 | 70 | |
| 15 | 2003 | 110 | |
| 16 | 2003 | 77 | |
| 17 | 2002 | 87 | |
| 18 | 2001 | 108 | |
| 19 | 2000 | 49 | |
| 20 | 1996 | 38 |
About Padmaja Dhanasekaran
Padmaja Dhanasekaran is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (23 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Cholesterol and Lipid Metabolism (17 papers), Protein Structure and Dynamics (7 papers), Lipoproteins and Cardiovascular Health (7 papers), Lipid Membrane Structure and Behavior (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (766 citations), Surgery (1.1k citations) and Biochemistry (178 citations). Padmaja Dhanasekaran has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include Michael C. Phillips, Sissel Lund‐Katz, Hiroyuki Saito, David Nguyen, Margaret Nickel, George H. Rothblat, Karl H. Weisgraber, Charulatha Vedhachalam, Masafumi Tanaka and Paul Holvoet. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Arteriosclerosis Thrombosis and Vascular Biology.
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.