Wanjun Lin
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
- Berberine and alkaloids research
Papers in
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- Pharmacological Effects of Natural Compounds 2
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- CRISPR and Genetic Engineering 2
- Metabolomics and Mass Spectrometry Studies 2
- Ginseng Biological Effects and Applications 2
- Natural product bioactivities and synthesis 2
- Co-authors
- Wenzhe Ma (21 shared papers)Jiajun Huang (8 shared papers)Ying Xie (7 shared papers)Zhongwen Yuan (3 shared papers)Yantao Li (2 shared papers)Senling Feng (3 shared papers)Ze Long (7 shared papers)Xiaoming Huang (4 shared papers)
- Journals
- Frontiers in Pharmacology (3 papers)Scientific Reports (2 papers)Journal of Ethnopharmacology (2 papers)Phytomedicine (2 papers)DNA and Cell Biology (1 paper)
- Partner nations
- MacaoChinaUnited States
In The Last Decade
Wanjun Lin
28 papers receiving 426 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 90
- Pharmacology 54
- Molecular Biology 229
- Complementary and alternative medicine 23
- Pharmacology 47
Countries citing papers authored by Wanjun Lin
This map shows the geographic impact of Wanjun Lin'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 Wanjun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Lin more than expected).
Fields of papers citing papers by Wanjun Lin
This network shows the impact of papers produced by Wanjun Lin. 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 Wanjun Lin. The network helps show where Wanjun Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanjun Lin, 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 | 2016 | 72 | |
| 2 | 2017 | 61 | |
| 3 | 2021 | 49 | |
| 4 | 2019 | 47 | |
| 5 | 2021 | 38 | |
| 6 | 2016 | 29 | |
| 7 | 2021 | 25 | |
| 8 | 2024 | 17 | |
| 9 | 2016 | 14 | |
| 10 | 2019 | 12 | |
| 11 | 2017 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Wanjun Lin
Wanjun Lin is a scholar working on Pharmacology, Molecular Biology, Cancer Research, Oncology and Biotechnology, having authored 28 papers that have together received 435 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), interferon and immune responses (2 papers), Ginseng Biological Effects and Applications (2 papers), Microbial Metabolism and Applications (2 papers), Natural product bioactivities and synthesis (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (90 citations), Pharmacology (54 citations), Molecular Biology (229 citations), Complementary and alternative medicine (23 citations) and Pharmacology (47 citations). Wanjun Lin has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Wenzhe Ma, Jiajun Huang, Ying Xie, Zhongwen Yuan, Yantao Li, Senling Feng, Ze Long, Xiaoming Huang, Jingjing Du and Bowen Zheng. Their work appears in journals such as Frontiers in Pharmacology, Scientific Reports, Journal of Ethnopharmacology, Phytomedicine and DNA and Cell Biology.
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.