Xun Sun
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Bone health and treatments
- Cancer Cells and Metastasis
Papers in
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- Ubiquitin and proteasome pathways 7
- Wnt/β-catenin signaling in development and cancer 6
- RNA modifications and cancer 6
- Cancer-related gene regulation 4
- Glycosylation and Glycoproteins Research 3
- Bone Metabolism and Diseases 3
- Oncology 9
- Bone health and treatments 4
- Co-authors
- Hiroki Yokota (11 shared papers)Bai‐Yan Li (12 shared papers)Xiangwei Meng (5 shared papers)Jifeng Feng (4 shared papers)Chien‐Chi Lin (2 shared papers)Ping He (4 shared papers)Huanhuan Sha (2 shared papers)Kexin Li (5 shared papers)
- Journals
- Bone Research (2 papers)Journal of Cellular Biochemistry (2 papers)Cancers (2 papers)Molecular Therapy — Oncolytics (1 paper)Acta Pharmacologica Sinica (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xun Sun
31 papers receiving 479 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 121
- Oncology 109
- Molecular Biology 276
- Biotechnology 27
- Cell Biology 42
Countries citing papers authored by Xun Sun
This map shows the geographic impact of Xun 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 Xun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Sun more than expected).
Fields of papers citing papers by Xun Sun
This network shows the impact of papers produced by Xun 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 Xun Sun. The network helps show where Xun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun 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 | 2020 | 56 | |
| 2 | 2021 | 35 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 27 | |
| 5 | 2009 | 26 | |
| 6 | 2021 | 26 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2018 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2018 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2015 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 9 |
About Xun Sun
Xun Sun is a scholar working on Molecular Biology, Oncology, Cancer Research, Endocrine and Autonomic Systems and Immunology, having authored 31 papers that have together received 480 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), RNA modifications and cancer (6 papers), Cancer-related gene regulation (4 papers), Bone health and treatments (4 papers), Cancer-related molecular mechanisms research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Cancer Research (121 citations), Oncology (109 citations), Molecular Biology (276 citations), Biotechnology (27 citations) and Cell Biology (42 citations). Xun Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hiroki Yokota, Bai‐Yan Li, Xiangwei Meng, Jifeng Feng, Chien‐Chi Lin, Ping He, Huanhuan Sha, Kexin Li, Junying Zhang and Shengzhi Liu. Their work appears in journals such as Bone Research, Journal of Cellular Biochemistry, Cancers, Molecular Therapy — Oncolytics and Acta Pharmacologica Sinica.
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.