Cheng‐Hsun Wu

49 papers receiving 1.6k citations

Peers

Cheng‐Hsun Wu
Comparison fields: 5 of 124
  • Biochemistry 257
  • Applied Microbiology and Biotechnology 63
  • Pharmacology 154
  • Toxicology 51
  • Complementary and alternative medicine 117
Replace Girish B. Maru with:
Girish B. Maru India
Mariam Abotaleb Qatar
Yutaka Miura Japan
Young Sup Kim South Korea
Estefanía Burgos‐Morón Spain
Pratibha Singh India
Saleh A. Almatroodi Saudi Arabia
Mou-Tuan Huang United States
Ting‐Tsz Ou Taiwan
Jeremy J. Johnson United States
Cheng‐Hsun Wu relative to Girish B. Maru India Girish B. Maru's profile →
Citations per field
00.5×1.5×2.2×
Girish B. Maru · 1×
Citations per year

Countries citing papers authored by Cheng‐Hsun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Hsun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Hsun Wu. 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 Cheng‐Hsun Wu. The network helps show where Cheng‐Hsun Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010153
2 2011108
3 2010100
4 200997
5 201096
6 201389
7 200769
8 200965
9 201160
10 201351
11 201146
12 201043
13 201041
14 200940
15 200539
16 200937
17 201333
18 201032
19 202327
20 201527

About Cheng‐Hsun Wu

Cheng‐Hsun Wu is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Epidemiology and Biomaterials, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chromatography in Natural Products (4 papers), Traditional Chinese Medicine Analysis (4 papers), Tannin, Tannase and Anticancer Activities (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Phytochemical Studies and Bioactivities (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Biochemistry (257 citations), Applied Microbiology and Biotechnology (63 citations), Pharmacology (154 citations), Toxicology (51 citations) and Complementary and alternative medicine (117 citations). Cheng‐Hsun Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chau‐Jong Wang, Ting‐Tsz Ou, Mon‐Yuan Yang, Yuan‐Wei Shih, Chau‐Jong Wang, Kuei‐Chuan Chan, Hsieh-Hsun Ho, Ming‐Cheng Lin, Chi-Sen Chang and Shengyou Liao. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Functional Foods, Amino Acids, Journal of Food Biochemistry and Evidence-based Complementary and Alternative Medicine.

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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