Jinjun Wu
Impact in
-
- Traditional Chinese Medicine Analysis
- Pharmacology top 2%
- Plant-based Medicinal Research
- Flavonoids in Medical Research
- Pharmacogenetics and Drug Metabolism
Papers in
- Pharmacology 12
- Plant-based Medicinal Research 7
- Pharmacogenetics and Drug Metabolism 3
- Flavonoids in Medical Research 3
-
- Traditional Chinese Medicine Analysis 8
- Co-authors
- Zhongqiu Liu (24 shared papers)Linlin Lu (18 shared papers)Muyan Kong (7 shared papers)Zhenzhen Guo (6 shared papers)Guiyu Zhang (13 shared papers)Yuanfeng Zhu (6 shared papers)Fangyuan Li (6 shared papers)Zhongqiu Liu (6 shared papers)
- Journals
- Journal of Ethnopharmacology (5 papers)Phytomedicine (3 papers)Molecules (3 papers)Frontiers in Pharmacology (3 papers)Chinese Journal of Natural Medicines (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Jinjun Wu
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Complementary and alternative medicine 297
- Pharmacology 224
- Drug Discovery 6
- Pharmacology 104
- Cancer Research 91
Countries citing papers authored by Jinjun Wu
This map shows the geographic impact of Jinjun 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 Jinjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjun Wu more than expected).
Fields of papers citing papers by Jinjun Wu
This network shows the impact of papers produced by Jinjun 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 Jinjun Wu. The network helps show where Jinjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinjun 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 133 | |
| 2 | 2016 | 110 | |
| 3 | 2018 | 95 | |
| 4 | 2019 | 78 | |
| 5 | 2020 | 53 | |
| 6 | 2023 | 50 | |
| 7 | 2015 | 48 | |
| 8 | 2021 | 48 | |
| 9 | 2016 | 47 | |
| 10 | 2016 | 46 | |
| 11 | 2018 | 42 | |
| 12 | 2017 | 40 | |
| 13 | 2016 | 38 | |
| 14 | 2016 | 35 | |
| 15 | 2017 | 34 | |
| 16 | 2017 | 33 | |
| 17 | 2016 | 32 | |
| 18 | 2021 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2021 | 21 |
About Jinjun Wu
Jinjun Wu is a scholar working on Pharmacology, Complementary and alternative medicine, Oncology, Pharmacology and Molecular Biology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (8 papers), Plant-based Medicinal Research (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Ferroptosis and cancer prognosis (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Flavonoids in Medical Research (3 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Complementary and alternative medicine (297 citations), Pharmacology (224 citations), Drug Discovery (6 citations), Pharmacology (104 citations) and Cancer Research (91 citations). Jinjun Wu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Zhongqiu Liu, Linlin Lu, Muyan Kong, Zhenzhen Guo, Guiyu Zhang, Yuanfeng Zhu, Fangyuan Li, Zhongqiu Liu, Leyan Li and Qing Luo. Their work appears in journals such as Journal of Ethnopharmacology, Phytomedicine, Molecules, Frontiers in Pharmacology and Chinese Journal of Natural Medicines.
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.