Tzu‐Chin Wu

1.4k citations
50 papers · 1.1k · h-index 22

Impact in

    • Cannabis and Cannabinoid Research
    • Fungal Biology and Applications
    • Pharmacological Effects of Natural Compounds
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

Tzu‐Chin Wu

49 papers receiving 1.1k citations

Peers

Tzu‐Chin Wu
Comparison fields: 5 of 116
  • Pharmacology 202
  • Biochemistry 64
  • Complementary and alternative medicine 54
  • Pharmacology 57
  • Toxicology 22
Replace In‐Sik Chung with:
In‐Sik Chung South Korea
Yuan Zhao China
Eeva Moilanen Finland
Tsan-Hung Chiu Taiwan
Xiaoyu Chen China
Minoru Tabata Japan
Deysi Viviana Tenazoa Wong Brazil
Yusuke Shibuya Japan
Tzu‐Chin Wu relative to In‐Sik Chung South Korea In‐Sik Chung's profile →
Citations per field
00.5×1.5×
In‐Sik Chung · 1×
Citations per year

Countries citing papers authored by Tzu‐Chin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Chin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009100
2 201190
3 201875
4 201262
5 201056
6 199148
7 200843
8 201542
9 201141
10 199140
11
Comparison of plasma and intake levels of antioxidant nutrients in patients with chronic obstructive pulmonary disease and healthy people in Taiwan: a case-control study.
201040
12 201037
13 201526
14 200525
15 201525
16 201624
17 200723
18 201023
19 201823
20 201223

About Tzu‐Chin Wu

Tzu‐Chin Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Pharmacology and Physiology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Cannabis and Cannabinoid Research (3 papers), Trauma Management and Diagnosis (3 papers), Autophagy in Disease and Therapy (3 papers), Asthma and respiratory diseases (3 papers), Pneumonia and Respiratory Infections (2 papers), Smoking Behavior and Cessation (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Pharmacology (202 citations), Biochemistry (64 citations), Complementary and alternative medicine (54 citations), Pharmacology (57 citations) and Toxicology (22 citations). Tzu‐Chin Wu has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Shu-Lan Yeh, Jiunn‐Liang Ko, Donald P. Tashkin, Hsing‐Lin Lin, Ming‐Shiou Jan, Yi‐Pin Chou, Jed E. Rose, Ling‐Yen Chiu, I‐Lun Hsin and Shu-Ting Chan. Their work appears in journals such as Cancer, Journal of Psychoactive Drugs, European Journal of Nutrition, Pharmacology Biochemistry and Behavior and Phytotherapy Research.

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.

Explore authors with similar magnitude of impact