Jun Xiang
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
- Biological Psychiatry top 5%
Papers in
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- RNA modifications and cancer 8
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- Cancer-related molecular mechanisms research 10
- Co-authors
- Dingfang Cai (15 shared papers)Dana E. King (4 shared papers)Courtney Pilkerton (1 shared paper)Yuping Tang (9 shared papers)Zhonghai Yu (16 shared papers)Jianjiang Xu (4 shared papers)Yiqin Dai (3 shared papers)Jing Zhang (2 shared papers)
- Journals
- Journal of Ethnopharmacology (8 papers)Experimental Eye Research (4 papers)Evidence-based Complementary and Alternative Medicine (4 papers)Scientific Reports (2 papers)Foods (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Xiang
96 papers receiving 2.0k citations
Jun Xiang's Hit Papers
Peers
Comparison fields: 5 of 149
- Neurology 333
- Biological Psychiatry 83
- Complementary and alternative medicine 201
- Cancer Research 213
- Neurology 208
Countries citing papers authored by Jun Xiang
This map shows the geographic impact of Jun Xiang'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 Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xiang more than expected).
Fields of papers citing papers by Jun Xiang
This network shows the impact of papers produced by Jun Xiang. 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 Xiang. The network helps show where Jun Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xiang, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 154 | |
| 2 | 2018 | 147 | |
| 3 | HIF-1α drives resistance to ferroptosis in solid tumors by promoting lactate production and activating SLC1A1 Hit paper breakdown → | 2023 | 127 |
| 4 | 2010 | 85 | |
| 5 | 2010 | 74 | |
| 6 | 2016 | 72 | |
| 7 | 2014 | 57 | |
| 8 | 2018 | 53 | |
| 9 | 2014 | 52 | |
| 10 | 2017 | 52 | |
| 11 | 2008 | 45 | |
| 12 | 2020 | 44 | |
| 13 | 2020 | 43 | |
| 14 | 2013 | 41 | |
| 15 | 2013 | 35 | |
| 16 | 2016 | 34 | |
| 17 | 2021 | 34 | |
| 18 | 2019 | 32 | |
| 19 | 2016 | 31 | |
| 20 | 2017 | 31 |
About Jun Xiang
Jun Xiang is a scholar working on Molecular Biology, Cancer Research, Neurology, Physiology and Neurology, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Neurological Disease Mechanisms and Treatments (9 papers), RNA modifications and cancer (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Corneal Surgery and Treatments (6 papers), Ocular Surface and Contact Lens (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Neurology (333 citations), Biological Psychiatry (83 citations), Complementary and alternative medicine (201 citations), Cancer Research (213 citations) and Neurology (208 citations). Jun Xiang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dingfang Cai, Dana E. King, Courtney Pilkerton, Yuping Tang, Zhonghai Yu, Jianjiang Xu, Yiqin Dai, Jing Zhang, Yue Li and Jae Kyeong Kim. Their work appears in journals such as Journal of Ethnopharmacology, Experimental Eye Research, Evidence-based Complementary and Alternative Medicine, Scientific Reports and Foods.
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.