Jun Xiao
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Genetics top 5%
- BRCA gene mutations in cancer
Papers in
- Epidemiology 11
- Cytomegalovirus and herpesvirus research 5
- Burn Injury Management and Outcomes 3
- Co-authors
- Phang‐Lang Chen (3 shared papers)Wen‐Hwa Lee (3 shared papers)Yumay Chen (2 shared papers)Zelton Dave Sharp (2 shared papers)Chi‐Fen Chen (2 shared papers)Qing Zhong (1 shared paper)Shang Li (1 shared paper)Zexuan Zhu (3 shared papers)
- Journals
- Polymer Composites (3 papers)PeerJ (3 papers)Medicine (2 papers)Viruses (2 papers)Materials (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Xiao
87 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 146
- Internal Medicine 75
- Genetics 475
- Molecular Biology 936
- Cancer Research 173
- Aging 22
Countries citing papers authored by Jun Xiao
This map shows the geographic impact of Jun Xiao'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 Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xiao more than expected).
Fields of papers citing papers by Jun Xiao
This network shows the impact of papers produced by Jun Xiao. 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 Xiao. The network helps show where Jun Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xiao, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 523 | |
| 2 | 1998 | 329 | |
| 3 | 2018 | 89 | |
| 4 | 2015 | 88 | |
| 5 | 2015 | 68 | |
| 6 | 2016 | 63 | |
| 7 | 2014 | 62 | |
| 8 | 2001 | 52 | |
| 9 | 2011 | 52 | |
| 10 | 2018 | 32 | |
| 11 | 2000 | 30 | |
| 12 | 2022 | 29 | |
| 13 | 2018 | 27 | |
| 14 | 2009 | 26 | |
| 15 | 2015 | 26 | |
| 16 | 2014 | 25 | |
| 17 | Prognostic factors of hepatocellular carcinoma patients treated by transarterial chemoembolization. | 2014 | 21 |
| 18 | 2019 | 21 | |
| 19 | 1996 | 20 | |
| 20 | 2014 | 20 |
About Jun Xiao
Jun Xiao is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology and Mechanics of Materials, having authored 92 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epoxy Resin Curing Processes (5 papers), Cytomegalovirus and herpesvirus research (5 papers), CRISPR and Genetic Engineering (4 papers), Mechanical Behavior of Composites (4 papers), Mitochondrial Function and Pathology (3 papers), Robotic Path Planning Algorithms (3 papers), Burn Injury Management and Outcomes (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Internal Medicine (75 citations), Genetics (475 citations), Molecular Biology (936 citations), Cancer Research (173 citations) and Aging (22 citations). Jun Xiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Phang‐Lang Chen, Wen‐Hwa Lee, Yumay Chen, Zelton Dave Sharp, Chi‐Fen Chen, Qing Zhong, Shang Li, Zexuan Zhu, Jianqiang Li and Qingfu Zhang. Their work appears in journals such as Polymer Composites, PeerJ, Medicine, Viruses and Materials.
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.