Eric D. Hawkins
- Molecular Biology top 5%
- Physiology top 2%
- Epidemiology top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Joseph T. BrozinickTatiyana L. ShiyanovaAlexei KharitonenkovElizabeth J. GalbreathLisa J. HammondJesper GromadaS. Richard JaskunasAnja Köester
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (4 papers)Peroxisome Proliferator-Activated Receptors (4 papers)Adipose Tissue and Metabolism (3 papers)
- Partner nations
- United States
In The Last Decade
Eric D. Hawkins
16 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.2k
- Physiology 893
- Epidemiology 580
- Surgery 473
- Endocrinology, Diabetes and Metabolism 341
Countries citing papers authored by Eric D. Hawkins
This map shows the geographic impact of Eric D. Hawkins'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 D. Hawkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Hawkins more than expected).
Fields of papers citing papers by Eric D. Hawkins
This network shows the impact of papers produced by Eric D. Hawkins. 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 D. Hawkins. The network helps show where Eric D. Hawkins may publish in the future.
Co-authorship network of co-authors of Eric D. Hawkins
This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Hawkins. A scholar is included among the top collaborators of Eric D. Hawkins 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 Eric D. Hawkins. Eric D. Hawkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 10 | |
| 3 | 25 | |
| 4 | 49 | |
| 5 | 13 | |
| 6 | Inhibition of Ceramide Synthesis Ameliorates Glucocorticoid-, Saturated-Fat-, and Obesity-Induced Insulin Resistancebreakdown → | 973 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | FGF-21 as a novel metabolic regulatorbreakdown → | 1750 |
| 10 | 97 | |
| 11 | 58 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 5 |
About Eric D. Hawkins
Eric D. Hawkins is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 17 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Biochemistry (255 citations), Physiology (893 citations) and Molecular Biology (2.2k citations). Eric D. Hawkins has collaborated with scholars based in United States. Frequent co-authors include Joseph T. Brozinick, Tatiyana L. Shiyanova, Alexei Kharitonenkov, Elizabeth J. Galbreath, Lisa J. Hammond, Jesper Gromada, S. Richard Jaskunas, Anja Köester, Rebecca A. Owens and George E. Sandusky. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Cell Metabolism.
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.