Willa A. Hsueh
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Physiology top 0.5%
- Surgery top 0.5%
- Co-authors
- Ronald E. LawChristopher J. LyonAlan R. CollinsManuel J. QuiñonesWoerner P. MeehanKristof GrafXiao-Ping XiEckart Fleck
- Topics
- Peroxisome Proliferator-Activated Receptors (43 papers)Adipokines, Inflammation, and Metabolic Diseases (34 papers)Adipose Tissue and Metabolism (30 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Willa A. Hsueh
245 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 7.1k
- Cardiology and Cardiovascular Medicine 4.9k
- Endocrinology, Diabetes and Metabolism 3.8k
- Physiology 3.3k
- Surgery 3.3k
Countries citing papers authored by Willa A. Hsueh
This map shows the geographic impact of Willa A. Hsueh'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 Willa A. Hsueh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willa A. Hsueh more than expected).
Fields of papers citing papers by Willa A. Hsueh
This network shows the impact of papers produced by Willa A. Hsueh. 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 Willa A. Hsueh. The network helps show where Willa A. Hsueh may publish in the future.
Co-authorship network of co-authors of Willa A. Hsueh
This figure shows the co-authorship network connecting the top 25 collaborators of Willa A. Hsueh. A scholar is included among the top collaborators of Willa A. Hsueh 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 Willa A. Hsueh. Willa A. Hsueh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 33 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 93 | |
| 8 | 305 | |
| 9 | 54 | |
| 10 | 13 | |
| 11 | 55 | |
| 12 | 120 | |
| 13 | 2 | |
| 14 | 246 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 53 | |
| 18 | 206 | |
| 19 | 27 | |
| 20 | 4 |
About Willa A. Hsueh
Willa A. Hsueh is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Physiology, having authored 251 papers that have together received 18.1k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (43 papers), Adipokines, Inflammation, and Metabolic Diseases (34 papers) and Adipose Tissue and Metabolism (30 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.8k citations), Cardiology and Cardiovascular Medicine (4.9k citations) and Biochemistry (1.0k citations). Willa A. Hsueh has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ronald E. Law, Christopher J. Lyon, Alan R. Collins, Manuel J. Quiñones, Woerner P. Meehan, Kristof Graf, Xiao-Ping Xi, Eckart Fleck, Stephan Goetze and Tuo Deng. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.