G.M. Anantharamaiah
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- Diabetes, Cardiovascular Risks, and Lipoproteins 18
- Clinical Biochemistry top 0.5%
- Paraoxonase enzyme and polymorphisms 9
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 6
- Surgery top 1%
- Lipoproteins and Cardiovascular Health 19
- Cholesterol and Lipid Metabolism 15
- Biochemistry top 2%
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- Peroxisome Proliferator-Activated Receptors 10
- Lipid Membrane Structure and Behavior 10
- Protein Structure and Dynamics 7
- Co-authors
- Mohamad NavabAlan M. FogelmanSrinivasa T. ReddyStephen J. NichollsKerry-Anne RyePhilip J. BarterJere P. SegrestSusan Hama
- Journals
- Journal of Biological Chemistry (4 papers)Angewandte Chemie International Edition (2 papers)Circulation (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
G.M. Anantharamaiah
69 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 1.6k
- Clinical Biochemistry 493
- Cancer Research 741
- Surgery 2.1k
- Biochemistry 245
Countries citing papers authored by G.M. Anantharamaiah
This map shows the geographic impact of G.M. Anantharamaiah'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 G.M. Anantharamaiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.M. Anantharamaiah more than expected).
Fields of papers citing papers by G.M. Anantharamaiah
This network shows the impact of papers produced by G.M. Anantharamaiah. 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 G.M. Anantharamaiah. The network helps show where G.M. Anantharamaiah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G.M. Anantharamaiah, 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 | 2023 | 12 | |
| 2 | 2019 | 19 | |
| 3 | 2019 | 14 | |
| 4 | 2018 | 24 | |
| 5 | 2017 | 17 | |
| 6 | 2014 | 35 | |
| 7 | 2013 | 73 | |
| 8 | 2011 | 62 | |
| 9 | 2010 | 18 | |
| 10 | 2009 | 50 | |
| 11 | Apolipoprotein A-I Mimetic Peptides and Their Role in Atherosclerosis Prevention | 2007 | 1 |
| 12 | 2007 | 91 | |
| 13 | 2007 | 100 | |
| 14 | 2007 | 75 | |
| 15 | 2006 | 195 | |
| 16 | 2003 | 62 | |
| 17 | 2000 | 110 | |
| 18 | 2000 | 97 | |
| 19 | 1994 | 36 | |
| 20 | 1990 | 93 |
About G.M. Anantharamaiah
G.M. Anantharamaiah is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Surgery, having authored 70 papers that have together received 4.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Cholesterol and Lipid Metabolism (15 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Lipid Membrane Structure and Behavior (10 papers), Paraoxonase enzyme and polymorphisms (9 papers), Protein Structure and Dynamics (7 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Clinical Biochemistry (493 citations) and Cancer Research (741 citations). G.M. Anantharamaiah has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Mohamad Navab, Alan M. Fogelman, Srinivasa T. Reddy, Stephen J. Nicholls, Kerry-Anne Rye, Philip J. Barter, Jere P. Segrest, Susan Hama, David W. Garber and Geeta Datta. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Circulation.
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.