Shih‐Lu Wu
Impact in
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
- Berberine and alkaloids research
- Ginger and Zingiberaceae research
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Pharmacological Effects of Natural Compounds 5
- Berberine and alkaloids research 3
- Co-authors
- Chien‐Yun HsiangTin‐Yun HoChia‐Cheng LiJaw‐Chyun ChenTin-Yun HoHsin‐Yi LoHsin-Yi LoJi‐An Liang
- Journals
- Journal of Ethnopharmacology (5 papers)Journal of Biomedical Science (3 papers)The American Journal of Chinese Medicine (3 papers)Virus Research (2 papers)Food and Chemical Toxicology (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Shih‐Lu Wu
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Pharmacology 395
- Complementary and alternative medicine 177
- Pharmacology 240
- Biotechnology 86
- Molecular Biology 610
Countries citing papers authored by Shih‐Lu Wu
This map shows the geographic impact of Shih‐Lu 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 Shih‐Lu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Lu Wu more than expected).
Fields of papers citing papers by Shih‐Lu Wu
This network shows the impact of papers produced by Shih‐Lu 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 Shih‐Lu Wu. The network helps show where Shih‐Lu Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shih‐Lu Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 43 | |
| 2 | 2012 | 133 | |
| 3 | 2012 | 56 | |
| 4 | 2012 | 80 | |
| 5 | 2010 | 40 | |
| 6 | 2010 | 8 | |
| 7 | 2009 | 40 | |
| 8 | 2009 | 3 | |
| 9 | 2009 | 15 | |
| 10 | 2008 | 74 | |
| 11 | 2008 | 31 | |
| 12 | 2008 | 5 | |
| 13 | 2007 | 33 | |
| 14 | 2007 | 29 | |
| 15 | 2007 | 115 | |
| 16 | 2005 | 75 | |
| 17 | 2005 | 10 | |
| 18 | 2004 | 32 | |
| 19 | 1998 | 8 | |
| 20 | 1994 | 37 |
About Shih‐Lu Wu
Shih‐Lu Wu is a scholar working on Pharmacology, Complementary and alternative medicine, Pharmacology, Molecular Biology and Cancer Research, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Herpesvirus Infections and Treatments (5 papers), NF-κB Signaling Pathways (4 papers), Ginseng Biological Effects and Applications (3 papers), Plant Virus Research Studies (3 papers), Berberine and alkaloids research (3 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Pharmacology (395 citations), Complementary and alternative medicine (177 citations), Pharmacology (240 citations), Biotechnology (86 citations) and Molecular Biology (610 citations). Shih‐Lu Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chien‐Yun Hsiang, Tin‐Yun Ho, Chia‐Cheng Li, Jaw‐Chyun Chen, Tin-Yun Ho, Hsin‐Yi Lo, Hsin-Yi Lo, Ji‐An Liang, Shin‐Ei Cheng and Wen-Yu Cheng. Their work appears in journals such as Journal of Ethnopharmacology, Journal of Biomedical Science, The American Journal of Chinese Medicine, Virus Research and Food and Chemical Toxicology.
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.