Wu Sun
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 8
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- Circular RNAs in diseases 7
- RNA Research and Splicing 3
- Extracellular vesicles in disease 2
- Co-authors
- Haiyang Zhang (9 shared papers)Yi Ba (9 shared papers)Jialu Li (4 shared papers)Yanqing Liu (5 shared papers)Chen‐Yu Zhang (4 shared papers)Xi Chen (3 shared papers)Jiayi Han (3 shared papers)Likun Zhou (3 shared papers)
In The Last Decade
Wu Sun
25 papers receiving 989 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 583
- Molecular Biology 696
- Reproductive Medicine 34
- Pathology and Forensic Medicine 66
- Oncology 70
Countries citing papers authored by Wu Sun
This map shows the geographic impact of Wu 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 Wu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Sun more than expected).
Fields of papers citing papers by Wu Sun
This network shows the impact of papers produced by Wu 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 Wu Sun. The network helps show where Wu Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 160 | |
| 2 | 2017 | 127 | |
| 3 | 2020 | 108 | |
| 4 | 2018 | 100 | |
| 5 | 2018 | 83 | |
| 6 | 2016 | 77 | |
| 7 | 2017 | 43 | |
| 8 | 2020 | 43 | |
| 9 | 2016 | 42 | |
| 10 | 2020 | 38 | |
| 11 | 2018 | 37 | |
| 12 | 2016 | 31 | |
| 13 | 2020 | 30 | |
| 14 | 2018 | 16 | |
| 15 | 2013 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2019 | 10 | |
| 19 | [Comparison of two techniques in hemivertebra resection: anterior- posterior approach versus posterior approach]. | 2012 | 5 |
| 20 | Kawasaki disease presenting with disseminated intravascular coagulation: report of one case. | 1994 | 4 |
About Wu Sun
Wu Sun is a scholar working on Cancer Research, Molecular Biology, Surgery, Pathology and Forensic Medicine and Pharmacology, having authored 28 papers that have together received 1000 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers), RNA Research and Splicing (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Extracellular vesicles in disease (2 papers), Immunotherapy and Immune Responses (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Cancer Research (583 citations), Molecular Biology (696 citations), Reproductive Medicine (34 citations), Pathology and Forensic Medicine (66 citations) and Oncology (70 citations). Wu Sun has collaborated with scholars based in China, Taiwan and Czechia. Frequent co-authors include Haiyang Zhang, Yi Ba, Jialu Li, Yanqing Liu, Chen‐Yu Zhang, Xi Chen, Jiayi Han, Likun Zhou, Xiaorui Chen and Rongjie Cheng. Their work appears in journals such as Scientific Reports, Journal of Clinical Oncology, Cell Death and Disease, Cancer Science and Molecular Cancer.
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.