Eric T. Weatherford
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Co-authors
- Curt D. SigmundHenry L. KeenJustin L. GrobeR. Ariel GómezMaria Luisa S. Sequeira-LόpezEllen S. PentzBrian D. HarfeOscar A. Carretero
- Topics
- Adipose Tissue and Metabolism (7 papers)Cardiovascular Function and Risk Factors (5 papers)Renin-Angiotensin System Studies (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Eric T. Weatherford
20 papers receiving 588 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 357
- Cardiology and Cardiovascular Medicine 203
- Physiology 136
- Endocrinology, Diabetes and Metabolism 119
- Cancer Research 81
Countries citing papers authored by Eric T. Weatherford
This map shows the geographic impact of Eric T. Weatherford'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. Weatherford 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. Weatherford more than expected).
Fields of papers citing papers by Eric T. Weatherford
This network shows the impact of papers produced by Eric T. Weatherford. 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. Weatherford. The network helps show where Eric T. Weatherford may publish in the future.
Co-authorship network of co-authors of Eric T. Weatherford
This figure shows the co-authorship network connecting the top 25 collaborators of Eric T. Weatherford. A scholar is included among the top collaborators of Eric T. Weatherford 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 T. Weatherford. Eric T. Weatherford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 44 | |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 16 | |
| 11 | 84 | |
| 12 | 82 | |
| 13 | 11 | |
| 14 | 51 | |
| 15 | 76 | |
| 16 | 128 | |
| 17 | 22 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 4 |
About Eric T. Weatherford
Eric T. Weatherford is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Biochemistry, having authored 20 papers that have together received 591 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Cardiovascular Function and Risk Factors (5 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (203 citations), Endocrinology, Diabetes and Metabolism (119 citations) and Cancer Research (81 citations). Eric T. Weatherford has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Curt D. Sigmund, Henry L. Keen, Justin L. Grobe, R. Ariel Gómez, Maria Luisa S. Sequeira-Lόpez, Ellen S. Pentz, Brian D. Harfe, Oscar A. Carretero, Christopher J. Pelham and Pimonrat Ketsawatsomkron. Their work appears in journals such as Circulation, Circulation Research and Molecular and Cellular 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.