Tom Huang

42 papers receiving 2.2k citations

Hit Papers

An overview on biological mechanisms of PPARs 2004 · 545 citations
5452004202620112018100200300400500

Peers

Tom Huang
Comparison fields: 5 of 112
  • Biochemistry 261
  • Pharmacology 288
  • Complementary and alternative medicine 245
  • Endocrinology, Diabetes and Metabolism 466
  • Nutrition and Dietetics 401
Replace Jin‐Taek Hwang with:
Jin‐Taek Hwang South Korea
Bhavani Prasad Kota Australia
Shizuka Hirai Japan
Chang Hwa Jung South Korea
Woojin Jun South Korea
K.V. Pugalendi India
Dharamvir Singh Arya India
Sung Hyun Chung South Korea
Jie‐Qiong Ma China
Michung Yoon South Korea
Tom Huang relative to Jin‐Taek Hwang South Korea Jin‐Taek Hwang's profile →
Citations per field
00.5×1.5×1.9×
Jin‐Taek Hwang · 1×
Citations per year

Countries citing papers authored by Tom Huang

Since Specialization
Citations

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

Fields of papers citing papers by Tom Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 202316
4 20195
5 20182
6 201143
7 201155
8 201020
9 200944
10 200733
11 200795
12 200655
13 200629
14 2005114
15 200535
16 200586
17 200524
18 200559
19
An overview on biological mechanisms of PPARs
Hit paper breakdown →
2004545
20 200468

About Tom Huang

Tom Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Biological Psychiatry, Complementary and alternative medicine and Molecular Biology, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (14 papers), Natural Antidiabetic Agents Studies (7 papers), Ginseng Biological Effects and Applications (5 papers), Natural product bioactivities and synthesis (4 papers), Cholesterol and Lipid Metabolism (4 papers), Pomegranate: compositions and health benefits (4 papers), Adipose Tissue and Metabolism (4 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Biochemistry (261 citations), Pharmacology (288 citations), Complementary and alternative medicine (245 citations), Endocrinology, Diabetes and Metabolism (466 citations) and Nutrition and Dietetics (401 citations). Tom Huang has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Basil D. Roufogalis, Bhavani Prasad Kota, Yuhao Li, George Li, Johji Yamahara, Colin C. Duke, Van Hoan Tran, Valentina Razmovski‐Naumovski, Noeris K. Salam and J. YAMAHARA. Their work appears in journals such as Toxicology and Applied Pharmacology, Life Sciences, Journal of Ethnopharmacology, Journal of Medicinal Chemistry and Current Molecular Pharmacology.

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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