Ping‐Hsun Lu
Impact in
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- Traditional Chinese Medicine Studies
- Acupuncture Treatment Research Studies
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- Bioactive Compounds and Antitumor Agents
Papers in
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- Dermatology and Skin Diseases 8
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- Acupuncture Treatment Research Studies 3
- Traditional Chinese Medicine Studies 2
- Co-authors
- Chan‐Yen Kuo (8 shared papers)Ko‐Lin Kuo (7 shared papers)Chun‐Chen Liao (1 shared paper)Fu‐Ming Tsai (7 shared papers)Yau‐Hung Chen (4 shared papers)I‐Hsin Lin (5 shared papers)Lu‐Kai Wang (3 shared papers)Yufang Wang (1 shared paper)
- Journals
- Toxins (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Frontiers in Pharmacology (1 paper)Indian Journal of Pharmaceutical Sciences (1 paper)BioMed Research International (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ping‐Hsun Lu
24 papers receiving 293 citations
Peers
Comparison fields: 5 of 80
- Complementary and alternative medicine 37
- Toxicology 14
- Dermatology 31
- Organic Chemistry 90
- Pharmacology 23
Countries citing papers authored by Ping‐Hsun Lu
This map shows the geographic impact of Ping‐Hsun Lu'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 Ping‐Hsun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping‐Hsun Lu more than expected).
Fields of papers citing papers by Ping‐Hsun Lu
This network shows the impact of papers produced by Ping‐Hsun Lu. 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 Ping‐Hsun Lu. The network helps show where Ping‐Hsun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping‐Hsun Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 43 | |
| 2 | 2010 | 43 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Ping‐Hsun Lu
Ping‐Hsun Lu is a scholar working on Dermatology, Complementary and alternative medicine, Pharmacology, Immunology and Surgery, having authored 28 papers that have together received 295 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (8 papers), Acupuncture Treatment Research Studies (3 papers), Nephrotoxicity and Medicinal Plants (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Hair Growth and Disorders (2 papers), Eosinophilic Esophagitis (2 papers) and Traditional Chinese Medicine Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (37 citations), Toxicology (14 citations), Dermatology (31 citations), Organic Chemistry (90 citations) and Pharmacology (23 citations). Ping‐Hsun Lu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chan‐Yen Kuo, Ko‐Lin Kuo, Chun‐Chen Liao, Fu‐Ming Tsai, Yau‐Hung Chen, I‐Hsin Lin, Lu‐Kai Wang, Yufang Wang, Jing‐Ping Liou and I‐Shiang Tzeng. Their work appears in journals such as Toxins, Evidence-based Complementary and Alternative Medicine, Frontiers in Pharmacology, Indian Journal of Pharmaceutical Sciences and BioMed Research International.
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.