Xiaochen Fan
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 4
- Mitochondrial Function and Pathology 3
- Hedgehog Signaling Pathway Studies 3
- Genomics and Chromatin Dynamics 3
- Pluripotent Stem Cells Research 3
- Surgery 7
- Co-authors
- Hannah Nicholas (3 shared papers)Yee Lian Chew (3 shared papers)Jürgen Götz (3 shared papers)Patrick Tam (7 shared papers)Ronald J. Clarke (1 shared paper)Tri C. Nguyen (3 shared papers)Zhen Chen (3 shared papers)Sheng Zhong (3 shared papers)
- Journals
- Scientific Reports (2 papers)Optics Express (1 paper)Circulation Research (1 paper)Nature Communications (1 paper)Data in Brief (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaochen Fan
29 papers receiving 516 citations
Peers
Comparison fields: 5 of 90
- Aging 47
- Cancer Research 95
- Molecular Biology 324
- Rheumatology 41
- Orthopedics and Sports Medicine 22
Countries citing papers authored by Xiaochen Fan
This map shows the geographic impact of Xiaochen Fan'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 Xiaochen Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Fan more than expected).
Fields of papers citing papers by Xiaochen Fan
This network shows the impact of papers produced by Xiaochen Fan. 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 Xiaochen Fan. The network helps show where Xiaochen Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen Fan, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2013 | 48 | |
| 3 | 2020 | 41 | |
| 4 | 2020 | 40 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 31 | |
| 7 | 2016 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2021 | 28 | |
| 10 | 2022 | 24 | |
| 11 | 2020 | 23 | |
| 12 | 2011 | 20 | |
| 13 | 2019 | 19 | |
| 14 | 2016 | 17 | |
| 15 | 2024 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2014 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2019 | 10 |
About Xiaochen Fan
Xiaochen Fan is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 523 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Perovskite Materials and Applications (3 papers), Mitochondrial Function and Pathology (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Genomics and Chromatin Dynamics (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Aging (47 citations), Cancer Research (95 citations), Molecular Biology (324 citations), Rheumatology (41 citations) and Orthopedics and Sports Medicine (22 citations). Xiaochen Fan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hannah Nicholas, Yee Lian Chew, Jürgen Götz, Patrick Tam, Ronald J. Clarke, Tri C. Nguyen, Zhen Chen, Sheng Zhong, Pierre Osteil and David A.F. Loebel. Their work appears in journals such as Scientific Reports, Optics Express, Circulation Research, Nature Communications and Data in Brief.
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.