Xiaochen Fan
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 3
- Hedgehog Signaling Pathway Studies 3
- Developmental Biology and Gene Regulation 3
- RNA Research and Splicing 3
- Mitochondrial Function and Pathology 3
- Genomics and Chromatin Dynamics 3
- Surgery 6
- Co-authors
- Jürgen Götz (3 shared papers)Hannah Nicholas (3 shared papers)Yee Lian Chew (3 shared papers)Patrick Tam (7 shared papers)Sheng Zhong (3 shared papers)Tri C. Nguyen (3 shared papers)Zhen Chen (3 shared papers)Ronald J. Clarke (1 shared paper)
- Journals
- Optical Materials (2 papers)Scientific Reports (2 papers)Molecular Cell (1 paper)Developmental Cell (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaochen Fan
33 papers receiving 546 citations
Peers
Comparison fields: 5 of 84
- Aging 47
- Cancer Research 80
- Molecular Biology 315
- Rheumatology 39
- Cell Biology 39
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2013 | 48 | |
| 3 | 2020 | 46 | |
| 4 | 2020 | 43 | |
| 5 | 2021 | 36 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 29 | |
| 8 | 2018 | 29 | |
| 9 | 2016 | 29 | |
| 10 | 2022 | 27 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 19 | |
| 13 | 2011 | 19 | |
| 14 | 2024 | 17 | |
| 15 | 2016 | 17 | |
| 16 | 2013 | 12 | |
| 17 | 2022 | 12 | |
| 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, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 553 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (4 papers), Pluripotent Stem Cells Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA Research and Splicing (3 papers), Mitochondrial Function and Pathology (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (47 citations), Cancer Research (80 citations), Molecular Biology (315 citations), Rheumatology (39 citations) and Cell Biology (39 citations). Xiaochen Fan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jürgen Götz, Hannah Nicholas, Yee Lian Chew, Patrick Tam, Sheng Zhong, Tri C. Nguyen, Zhen Chen, Ronald J. Clarke, David A.F. Loebel and Pierre Osteil. Their work appears in journals such as Optical Materials, Scientific Reports, Molecular Cell, Developmental Cell and BioMed Research International.
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.