Jun Xiao
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Genetics top 5%
- BRCA gene mutations in cancer
Papers in
-
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 3
- Mitochondrial Function and Pathology 3
- Epidemiology 11
- Cytomegalovirus and herpesvirus research 5
- Burn Injury Management and Outcomes 3
- Co-authors
- Wen‐Hwa Lee (3 shared papers)Phang‐Lang Chen (3 shared papers)Chi‐Fen Chen (2 shared papers)Z. Dave Sharp (2 shared papers)Yumay Chen (2 shared papers)Shang Li (1 shared paper)Qing Zhong (1 shared paper)Zexuan Zhu (3 shared papers)
- Journals
- Polymer Composites (3 papers)PeerJ (3 papers)Viruses (2 papers)Medicine (2 papers)Materials (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Xiao
84 papers receiving 1.8k citations
Jun Xiao's Hit Papers
Peers
Comparison fields: 5 of 142
- Internal Medicine 70
- Genetics 455
- Molecular Biology 903
- Aging 23
- Cancer Research 166
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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association of BRCA1 with the hRad50-hMre11-p95 Complex and the DNA Damage Response Hit paper breakdown → | 1999 | 515 |
| 2 | 1998 | 321 | |
| 3 | 2018 | 82 | |
| 4 | 2015 | 82 | |
| 5 | 2016 | 63 | |
| 6 | 2015 | 62 | |
| 7 | 2001 | 49 | |
| 8 | 2011 | 48 | |
| 9 | 2018 | 31 | |
| 10 | 2000 | 29 | |
| 11 | 2022 | 26 | |
| 12 | 2009 | 26 | |
| 13 | 2015 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2014 | 25 | |
| 16 | Prognostic factors of hepatocellular carcinoma patients treated by transarterial chemoembolization. | 2014 | 21 |
| 17 | 2019 | 20 | |
| 18 | 2014 | 20 | |
| 19 | 2015 | 19 | |
| 20 | 1996 | 18 |
About Jun Xiao
Jun Xiao is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), Epoxy Resin Curing Processes (4 papers), Mechanical Behavior of Composites (4 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (3 papers), High Altitude and Hypoxia (3 papers), Mitochondrial Function and Pathology (3 papers) and Burn Injury Management and Outcomes (3 papers). The work is most often cited by research in Internal Medicine (70 citations), Genetics (455 citations), Molecular Biology (903 citations), Aging (23 citations) and Cancer Research (166 citations). Jun Xiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wen‐Hwa Lee, Phang‐Lang Chen, Chi‐Fen Chen, Z. Dave Sharp, Yumay Chen, Shang Li, Qing Zhong, Zexuan Zhu, Jiang Deng and Qingfu Zhang. Their work appears in journals such as Polymer Composites, PeerJ, Viruses, Medicine 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.