Willa A. Hsueh

24.7k total citations · 5 hit papers
251 papers, 18.1k citations indexed

About

Willa A. Hsueh is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Willa A. Hsueh has authored 251 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 71 papers in Cardiology and Cardiovascular Medicine and 63 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Willa A. Hsueh's work include Peroxisome Proliferator-Activated Receptors (43 papers), Adipokines, Inflammation, and Metabolic Diseases (34 papers) and Adipose Tissue and Metabolism (30 papers). Willa A. Hsueh is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (43 papers), Adipokines, Inflammation, and Metabolic Diseases (34 papers) and Adipose Tissue and Metabolism (30 papers). Willa A. Hsueh collaborates with scholars based in United States, Germany and Japan. Willa A. Hsueh's 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 and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Willa A. Hsueh

245 papers receiving 17.6k citations

Hit Papers

Preserving renal function in adults with hypertension and... 2000 2026 2008 2017 2000 2002 2016 2003 2021 250 500 750 1000

Peers

Willa A. Hsueh
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
Replace Hirofumi Makino with:
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Hiroshi Itoh Japan
Barry J. Goldstein United States
Tsutomu Imaizumi Japan
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Hirofumi Makino Japan View profile →
Citations per field, relative to Willa A. Hsueh
Willa A. Hsueh · 1×
Citations per year, relative to Willa A. Hsueh
Willa A. Hsueh · 1×

Countries citing papers authored by Willa A. Hsueh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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2026