Wenjun Wu
Impact in
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- Natural Compounds in Disease Treatment
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Natural Compounds in Disease Treatment 10
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- Natural product bioactivities and synthesis 5
- Co-authors
- Shun‐Fa Yang (3 shared papers)Zhiqin Ji (5 shared papers)Shaopeng Wei (4 shared papers)Hung‐Jen Liu (1 shared paper)Shun‐Long Weng (1 shared paper)Chen-Hsing Chou (1 shared paper)Chi‐I Chang (1 shared paper)Jue‐Liang Hsu (1 shared paper)
- Journals
- Pesticide Biochemistry and Physiology (2 papers)International Journal of Medical Sciences (2 papers)Chemistry & Biodiversity (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wenjun Wu
27 papers receiving 321 citations
Peers
Comparison fields: 5 of 70
- Complementary and alternative medicine 46
- Genetics 54
- Toxicology 14
- Cancer Research 59
- Pathology and Forensic Medicine 55
Countries citing papers authored by Wenjun Wu
This map shows the geographic impact of Wenjun 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 Wenjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Wu more than expected).
Fields of papers citing papers by Wenjun Wu
This network shows the impact of papers produced by Wenjun 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 Wenjun Wu. The network helps show where Wenjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 36 | |
| 2 | 2010 | 35 | |
| 3 | 2018 | 34 | |
| 4 | 2021 | 30 | |
| 5 | 2009 | 22 | |
| 6 | 2011 | 17 | |
| 7 | 2009 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2016 | 9 | |
| 14 | 2007 | 9 | |
| 15 | 2009 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2010 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2008 | 4 |
About Wenjun Wu
Wenjun Wu is a scholar working on Complementary and alternative medicine, Molecular Biology, Oncology, Pharmacology and Epidemiology, having authored 30 papers that have together received 324 indexed citations. Recurring topics across this work include Natural Compounds in Disease Treatment (10 papers), Natural product bioactivities and synthesis (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Complementary and alternative medicine (46 citations), Genetics (54 citations), Toxicology (14 citations), Cancer Research (59 citations) and Pathology and Forensic Medicine (55 citations). Wenjun Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Shun‐Fa Yang, Zhiqin Ji, Shaopeng Wei, Hung‐Jen Liu, Shun‐Long Weng, Chen-Hsing Chou, Chi‐I Chang, Jue‐Liang Hsu, Po-Hui Wang and Yi‐Hsuan Hsiao. Their work appears in journals such as Pesticide Biochemistry and Physiology, International Journal of Medical Sciences, Chemistry & Biodiversity, Journal of Agricultural and Food Chemistry and Molecular Cancer Therapeutics.
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.