Hazel Huang

37 papers receiving 1.4k citations

Peers

Hazel Huang
Comparison fields: 5 of 92
  • Physiology 522
  • Cardiology and Cardiovascular Medicine 432
  • Clinical Biochemistry 102
  • Endocrinology, Diabetes and Metabolism 181
  • Endocrine and Autonomic Systems 64
Replace Saumya Sharma with:
Saumya Sharma United States
Rainer U. Pliquett Germany
Alison Sleigh United Kingdom
Tarunveer S. Ahluwalia Denmark
Ray Stidwill United Kingdom
Georgios Karamanlidis United States
Henning Witt Germany
R. Takayanagi Japan
Stefan Lehr Germany
Lars Bellner United States
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Citations per field
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Citations per year

Countries citing papers authored by Hazel Huang

Since Specialization
Citations

This map shows the geographic impact of Hazel Huang'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 Hazel Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hazel Huang more than expected).

Fields of papers citing papers by Hazel Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hazel Huang. 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 Hazel Huang. The network helps show where Hazel Huang may publish in the future.

Co-authors

The 25 scholars most cited alongside Hazel Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hazel Huang Line = papers co-authored together Hazel Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004103
2 201194
3 201592
4 201184
5 200080
6 201074
7 200567
8 201465
9 200465
10 200960
11 200152
12 201352
13 202038
14 200736
15 201133
16 200232
17 200729
18 201326
19 201425
20 201325

About Hazel Huang

Hazel Huang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (12 papers), Adipose Tissue and Metabolism (7 papers), Mitochondrial Function and Pathology (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Advanced MRI Techniques and Applications (4 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Bariatric Surgery and Outcomes (4 papers). The work is most often cited by research in Physiology (522 citations), Cardiology and Cardiovascular Medicine (432 citations), Clinical Biochemistry (102 citations), Endocrinology, Diabetes and Metabolism (181 citations) and Endocrine and Autonomic Systems (64 citations). Hazel Huang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include John P. Kirwan, William C. Stanley, Margaret P. Chandler, Takhar Kasumov, Philip R. Schauer, Steven K. Malin, Sangeeta R. Kashyap, Stacy A. Brethauer, Tracy A McElfresh and Renliang Zhang. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Obesity, The Journal of Physiology, Obesity Surgery and Journal of Applied Physiology.

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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