Xiaofeng Sun
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 6
- RNA modifications and cancer 3
- Pluripotent Stem Cells Research 2
-
- Adenosine and Purinergic Signaling 9
- Co-authors
- Simon C. Robson (12 shared papers)Yan Wu (4 shared papers)Keiichi Enjyoji (6 shared papers)Eva Csizmadia (5 shared papers)Takashi Murakami (2 shared papers)Wenda Gao (3 shared papers)Bian Shu (3 shared papers)Yan Wu (6 shared papers)
- Journals
- PLoS ONE (2 papers)Neoplasia (1 paper)Cell Research (1 paper)Gene (1 paper)Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaofeng Sun
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Physiology 548
- Cancer Research 256
- Immunology 310
- Obstetrics and Gynecology 52
- Oncology 191
Countries citing papers authored by Xiaofeng Sun
This map shows the geographic impact of Xiaofeng Sun'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 Xiaofeng Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Sun more than expected).
Fields of papers citing papers by Xiaofeng Sun
This network shows the impact of papers produced by Xiaofeng Sun. 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 Xiaofeng Sun. The network helps show where Xiaofeng Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng Sun, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 226 | |
| 2 | 2011 | 115 | |
| 3 | 2013 | 103 | |
| 4 | 2007 | 81 | |
| 5 | 2014 | 80 | |
| 6 | 2008 | 80 | |
| 7 | 2012 | 76 | |
| 8 | 2013 | 60 | |
| 9 | 2006 | 58 | |
| 10 | 2021 | 39 | |
| 11 | 2019 | 38 | |
| 12 | 2018 | 35 | |
| 13 | 2020 | 33 | |
| 14 | 2014 | 33 | |
| 15 | 2016 | 32 | |
| 16 | 2011 | 31 | |
| 17 | 2018 | 27 | |
| 18 | 2009 | 27 | |
| 19 | 2016 | 22 | |
| 20 | 2017 | 20 |
About Xiaofeng Sun
Xiaofeng Sun is a scholar working on Molecular Biology, Physiology, Cancer Research, Obstetrics and Gynecology and Psychiatry and Mental health, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (9 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (3 papers), T-cell and B-cell Immunology (2 papers), Pluripotent Stem Cells Research (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Physiology (548 citations), Cancer Research (256 citations), Immunology (310 citations), Obstetrics and Gynecology (52 citations) and Oncology (191 citations). Xiaofeng Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Simon C. Robson, Yan Wu, Keiichi Enjyoji, Eva Csizmadia, Takashi Murakami, Wenda Gao, Bian Shu, Yan Wu, Christa E. Müller and Anny Usheva. Their work appears in journals such as PLoS ONE, Neoplasia, Cell Research, Gene and Hepatology.
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.