Eric T. Alexander
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
-
- Amino Acid Enzymes and Metabolism 2
- Lipid metabolism and biosynthesis 2
- Co-authors
- Daniel J. RaderGeorge H. RothblatGinny L. WeibelJeffrey T. BillheimerSusan K. GilmourMichael C. PhillipsMichael J. ThomasMary G. Sorci‐Thomas
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (5 papers)Journal of Lipid Research (4 papers)Cancer Biology & Therapy (2 papers)Journal of Biological Chemistry (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Eric T. Alexander
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 443
- Cancer Research 240
- Surgery 692
- Biochemistry 95
- Molecular Biology 626
Countries citing papers authored by Eric T. Alexander
This map shows the geographic impact of Eric T. Alexander'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 Eric T. Alexander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Alexander more than expected).
Fields of papers citing papers by Eric T. Alexander
This network shows the impact of papers produced by Eric T. Alexander. 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 Eric T. Alexander. The network helps show where Eric T. Alexander may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric T. Alexander, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 23 | |
| 4 | 2020 | 43 | |
| 5 | 2019 | 7 | |
| 6 | 2015 | 32 | |
| 7 | 2013 | 3 | |
| 8 | 2013 | 53 | |
| 9 | 2012 | 158 | |
| 10 | 2010 | 25 | |
| 11 | 2009 | 55 | |
| 12 | 2009 | 48 | |
| 13 | 2008 | 2 | |
| 14 | 2008 | 462 | |
| 15 | 2007 | 43 | |
| 16 | 2005 | 84 | |
| 17 | 2005 | 2 | |
| 18 | 2005 | 33 | |
| 19 | 2003 | 60 | |
| 20 | 2002 | 63 |
About Eric T. Alexander
Eric T. Alexander is a scholar working on Biochemistry, Internal Medicine, Endocrinology, Diabetes and Metabolism, Hematology and Surgery, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Cholesterol and Lipid Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Polyamine Metabolism and Applications (5 papers), Amino Acid Enzymes and Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Platelet Disorders and Treatments (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (443 citations), Cancer Research (240 citations), Surgery (692 citations), Biochemistry (95 citations) and Molecular Biology (626 citations). Eric T. Alexander has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Daniel J. Rader, George H. Rothblat, Ginny L. Weibel, Jeffrey T. Billheimer, Susan K. Gilmour, Michael C. Phillips, Michael J. Thomas, Mary G. Sorci‐Thomas, Shaila Bhat and Otto Phanstiel. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research, Cancer Biology & Therapy, Journal of Biological Chemistry and Oncotarget.
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.