Jun Xu
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis
Papers in
- Pharmacology 54
- Microbial Natural Products and Biosynthesis 23
-
- Bone Metabolism and Diseases 20
- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 11
- Co-authors
- Qiong Chan Gu (127 shared papers)Huihao Zhou (63 shared papers)Shuangjia Zheng (8 shared papers)Yuedong Yang (5 shared papers)Yuying Fang (8 shared papers)Qingyun Tan (9 shared papers)Xin Yan (20 shared papers)Zhihong Liu (22 shared papers)
- Journals
- Journal of Chemical Information and Modeling (17 papers)European Journal of Medicinal Chemistry (15 papers)Journal of Natural Products (13 papers)RSC Advances (11 papers)Bioorganic Chemistry (11 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Xu
250 papers receiving 5.5k citations
Jun Xu's Hit Papers
Peers
Comparison fields: 5 of 163
- Computational Theory and Mathematics 1.2k
- Pharmacology 945
- Molecular Biology 2.9k
- Pharmacology 325
- Cancer Research 498
Countries citing papers authored by Jun Xu
This map shows the geographic impact of Jun Xu'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 Jun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xu more than expected).
Fields of papers citing papers by Jun Xu
This network shows the impact of papers produced by Jun Xu. 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 Jun Xu. The network helps show where Jun Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xu, 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 259 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inhibiting Ferroptosis through Disrupting the NCOA4–FTH1 Interaction: A New Mechanism of Action Hit paper breakdown → | 2021 | 401 |
| 2 | 2020 | 232 | |
| 3 | 2019 | 166 | |
| 4 | 1996 | 111 | |
| 5 | 2010 | 105 | |
| 6 | 2020 | 104 | |
| 7 | 2019 | 100 | |
| 8 | 2012 | 83 | |
| 9 | 2013 | 74 | |
| 10 | 2014 | 71 | |
| 11 | 2013 | 64 | |
| 12 | 2019 | 62 | |
| 13 | 2017 | 62 | |
| 14 | 2019 | 60 | |
| 15 | 2019 | 60 | |
| 16 | 2013 | 58 | |
| 17 | 2013 | 56 | |
| 18 | 2015 | 54 | |
| 19 | 2013 | 53 | |
| 20 | 2010 | 48 |
About Jun Xu
Jun Xu is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Oncology and Pharmacology, having authored 259 papers that have together received 5.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (43 papers), Microbial Natural Products and Biosynthesis (23 papers), Bone Metabolism and Diseases (20 papers), Drug Transport and Resistance Mechanisms (14 papers), Phytochemistry and Biological Activities (13 papers), RNA and protein synthesis mechanisms (12 papers), Cholesterol and Lipid Metabolism (11 papers) and RNA modifications and cancer (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Pharmacology (945 citations), Molecular Biology (2.9k citations), Pharmacology (325 citations) and Cancer Research (498 citations). Jun Xu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiong Chan Gu, Huihao Zhou, Shuangjia Zheng, Yuedong Yang, Yuying Fang, Qingyun Tan, Xin Yan, Zhihong Liu, Xiu‐Cai Chen and Ge Hu. Their work appears in journals such as Journal of Chemical Information and Modeling, European Journal of Medicinal Chemistry, Journal of Natural Products, RSC Advances and Bioorganic Chemistry.
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.