Shaojun Yu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 2
- Oncology 7
- Co-authors
- Kang Ning (5 shared papers)Runzhi Zhang (1 shared paper)Hong Bai (1 shared paper)Lifeng Sun (7 shared papers)Pengshuo Yang (3 shared papers)Maozhen Han (3 shared papers)Guofeng Chen (4 shared papers)Chaofang Zhong (2 shared papers)
- Journals
- JCO Oncology Practice (2 papers)Cancer Management and Research (2 papers)World Journal of Surgical Oncology (2 papers)Scientific Reports (2 papers)Neuroreport (1 paper)
- Partner nations
- ChinaUnited StatesCambodia
In The Last Decade
Shaojun Yu
50 papers receiving 742 citations
Peers
Comparison fields: 5 of 117
- Cancer Research 142
- Complementary and alternative medicine 48
- Pharmacology 44
- Molecular Biology 307
- Oncology 77
Countries citing papers authored by Shaojun Yu
This map shows the geographic impact of Shaojun Yu'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 Shaojun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaojun Yu more than expected).
Fields of papers citing papers by Shaojun Yu
This network shows the impact of papers produced by Shaojun Yu. 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 Shaojun Yu. The network helps show where Shaojun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaojun Yu, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 164 | |
| 2 | 2019 | 56 | |
| 3 | 2020 | 52 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 44 | |
| 6 | 2021 | 39 | |
| 7 | 2015 | 38 | |
| 8 | 2019 | 37 | |
| 9 | 2019 | 26 | |
| 10 | 2019 | 21 | |
| 11 | 2024 | 20 | |
| 12 | 2017 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2023 | 14 | |
| 16 | 2015 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2017 | 8 |
About Shaojun Yu
Shaojun Yu is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 750 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (3 papers), Cancer-related molecular mechanisms research (3 papers), FinTech, Crowdfunding, Digital Finance (3 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (142 citations), Complementary and alternative medicine (48 citations), Pharmacology (44 citations), Molecular Biology (307 citations) and Oncology (77 citations). Shaojun Yu has collaborated with scholars based in China, United States and Cambodia. Frequent co-authors include Kang Ning, Runzhi Zhang, Hong Bai, Lifeng Sun, Pengshuo Yang, Maozhen Han, Guofeng Chen, Chaofang Zhong, Hongjun Li and Qun Deng. Their work appears in journals such as JCO Oncology Practice, Cancer Management and Research, World Journal of Surgical Oncology, Scientific Reports and Neuroreport.
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.