Jun Xiao
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Genetics top 5%
- BRCA gene mutations in cancer
Papers in
-
- Venous Thromboembolism Diagnosis and Management 5
- Co-authors
- Wen‐Hwa LeePhang‐Lang ChenYumay ChenChi‐Fen ChenZ. Dave SharpQing ZhongShang LiZexuan Zhu
- Journals
- Polymer Composites (3 papers)PeerJ (3 papers)Journal of Biological Chemistry (2 papers)Viruses (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Xiao
78 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Internal Medicine 91
- Genetics 474
- Molecular Biology 953
- Aging 24
- Cancer Research 181
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 30 | |
| 13 | 2017 | 0 | |
| 14 | Correlation between age-related serum follicle stimulating hormone levels and osteoarthritis in postmenopausal women | 2017 | 1 |
| 15 | 2014 | 20 | |
| 16 | 2011 | 46 | |
| 17 | 2011 | 3 | |
| 18 | 2009 | 26 | |
| 19 | Establishment of Sorghum Genetic Transformation System with Mediating Agrobacterium tumefaciens | 2004 | 1 |
| 20 | Improved mathematical model of APA microcapsules | 2000 | 2 |
About Jun Xiao
Jun Xiao is a scholar working on Internal Medicine, Developmental Biology, Nephrology, Physiology and Cardiology and Cardiovascular Medicine, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), CRISPR and Genetic Engineering (4 papers), Epoxy Resin Curing Processes (4 papers), DNA Repair Mechanisms (3 papers), Composite Structure Analysis and Optimization (3 papers) and Pediatric health and respiratory diseases (3 papers). The work is most often cited by research in Internal Medicine (91 citations), Genetics (474 citations), Molecular Biology (953 citations), Aging (24 citations) and Cancer Research (181 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, Yumay Chen, Chi‐Fen Chen, Z. Dave Sharp, Qing Zhong, Shang Li, Zexuan Zhu, Jiang Deng and Qingfu Zhang. Their work appears in journals such as Polymer Composites, PeerJ, Journal of Biological Chemistry, Viruses and Medicine.
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.