An Huang

94 papers receiving 3.6k citations

Peers

An Huang
Comparison fields: 5 of 125
  • Biochemistry 784
  • Physiology 1.8k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Endocrinology, Diabetes and Metabolism 760
  • Complementary and alternative medicine 311
Replace Dong Sun with:
Dong Sun United States
Ana M. Briones Spain
Zsolt Bagi United States
Chi Wai Lau Hong Kong
Sean P. Didion United States
Sidney Shaw Switzerland
Cora Weigert Germany
Teresa C. Leone United States
Marianne Tare Australia
Julian H. Lombard United States
An Huang relative to Dong Sun United States Dong Sun's profile →
Citations per field
00.5×1.5×
Dong Sun · 1×
Citations per year

Countries citing papers authored by An Huang

Since Specialization
Citations

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

Fields of papers citing papers by An Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside An 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 An Huang Line = papers co-authored together An Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009304
2 1995205
3 2003181
4 1999155
5 2004134
6 2000117
7 1998117
8 2001116
9 2002105
10 200596
11 199795
12
Berberine induces apoptosis in human HSC-3 oral cancer cells via simultaneous activation of the death receptor-mediated and mitochondrial pathway.
200794
13 200488
14 199885
15 200075
16 200474
17 200174
18 200757
19 199656
20 200154

About An Huang

An Huang is a scholar working on Physiology, Biochemistry, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 94 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (48 papers), Eicosanoids and Hypertension Pharmacology (28 papers), Hormonal Regulation and Hypertension (15 papers), Renin-Angiotensin System Studies (12 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers), Menopause: Health Impacts and Treatments (7 papers), Cardiovascular Health and Disease Prevention (6 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). The work is most often cited by research in Biochemistry (784 citations), Physiology (1.8k citations), Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (760 citations) and Complementary and alternative medicine (311 citations). An Huang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Dong Sun, Gabor Kaley, Ákos Koller, Yang‐Ming Yang, Edward G. Shesely, Michael S. Wolin, John R. Falck, Carolyn J. Smith, Pawel M. Kaminski and Zoltán Ungvári. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Hypertension, Microvascular Research, Circulation Research and American Journal of Physiology-Regulatory, Integrative and Comparative 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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