Bai‐Luh Wei
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
Papers in
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- Natural Compounds in Disease Treatment 3
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- Bioactive natural compounds 6
- Natural product bioactivities and synthesis 5
- Bioactive Natural Diterpenoids Research 4
- Co-authors
- Wen‐Fei Chiou (10 shared papers)Chun‐Nan Lin (17 shared papers)Han-Chieh Ko (4 shared papers)Jih-Pyang Wang (5 shared papers)Huang-Yao Tu (5 shared papers)Shyh‐Chyun Yang (5 shared papers)Jing‐Ru Weng (2 shared papers)Chi‐Feng Hung (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (4 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Journal of Natural Products (3 papers)Marine Drugs (3 papers)Phytochemistry (2 papers)
- Partner nations
- Taiwan
In The Last Decade
Bai‐Luh Wei
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Complementary and alternative medicine 142
- Pharmacology 79
- Biochemistry 55
- Pharmacology 110
- Molecular Biology 444
Countries citing papers authored by Bai‐Luh Wei
This map shows the geographic impact of Bai‐Luh Wei'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 Bai‐Luh Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai‐Luh Wei more than expected).
Fields of papers citing papers by Bai‐Luh Wei
This network shows the impact of papers produced by Bai‐Luh Wei. 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 Bai‐Luh Wei. The network helps show where Bai‐Luh Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai‐Luh Wei, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 125 | |
| 2 | 2006 | 125 | |
| 3 | 2009 | 83 | |
| 4 | 2009 | 79 | |
| 5 | 2010 | 74 | |
| 6 | 2008 | 53 | |
| 7 | 2008 | 50 | |
| 8 | 2010 | 49 | |
| 9 | 2001 | 47 | |
| 10 | 2019 | 46 | |
| 11 | 2008 | 35 | |
| 12 | 2000 | 32 | |
| 13 | 2005 | 30 | |
| 14 | 2013 | 26 | |
| 15 | 2010 | 23 | |
| 16 | 2010 | 23 | |
| 17 | 2013 | 20 | |
| 18 | 2007 | 19 | |
| 19 | 2009 | 18 | |
| 20 | 2007 | 17 |
About Bai‐Luh Wei
Bai‐Luh Wei is a scholar working on Complementary and alternative medicine, Molecular Biology, Plant Science, Pharmacology and Toxicology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (8 papers), Bioactive natural compounds (6 papers), Natural product bioactivities and synthesis (5 papers), Bioactive Natural Diterpenoids Research (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Natural Compound Pharmacology Studies (3 papers), Natural Compounds in Disease Treatment (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Complementary and alternative medicine (142 citations), Pharmacology (79 citations), Biochemistry (55 citations), Pharmacology (110 citations) and Molecular Biology (444 citations). Bai‐Luh Wei has collaborated with scholars based in Taiwan. Frequent co-authors include Wen‐Fei Chiou, Chun‐Nan Lin, Han-Chieh Ko, Jih-Pyang Wang, Huang-Yao Tu, Shyh‐Chyun Yang, Jing‐Ru Weng, Chi‐Feng Hung, Kai‐Wei Lin and Shen‐Jeu Won. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Evidence-based Complementary and Alternative Medicine, Journal of Natural Products, Marine Drugs and Phytochemistry.
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.