Jun Shen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
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- Pregnancy and preeclampsia studies
Papers in
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- Breast Cancer Treatment Studies 4
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
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- RNA modifications and cancer 5
- Circular RNAs in diseases 4
- Co-authors
- Fei Tong (2 shared papers)Yisheng Zhang (2 shared papers)Yiming Zhong (1 shared paper)Hangyu Wu (2 shared papers)Ye Mei (2 shared papers)Yingchao Zhu (1 shared paper)Shizhong Bu (1 shared paper)Siyang Wu (1 shared paper)
- Journals
- Breast Cancer Targets and Therapy (2 papers)Heliyon (2 papers)Clinical Epigenetics (1 paper)Scientific Reports (1 paper)Journal of Cranio-Maxillofacial Surgery (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Shen
29 papers receiving 321 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 178
- Obstetrics and Gynecology 34
- Oncology 100
- Molecular Biology 163
- Otorhinolaryngology 10
Countries citing papers authored by Jun Shen
This map shows the geographic impact of Jun Shen'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 Jun Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shen more than expected).
Fields of papers citing papers by Jun Shen
This network shows the impact of papers produced by Jun Shen. 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 Jun Shen. The network helps show where Jun Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shen, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2020 | 41 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 8 | |
| 13 | Remarks on the sequential effect algebras | 2009 | 8 |
| 14 | 2023 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2023 | 4 |
About Jun Shen
Jun Shen is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 30 papers that have together received 327 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Advanced Breast Cancer Therapies (4 papers), MicroRNA in disease regulation (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (178 citations), Obstetrics and Gynecology (34 citations), Oncology (100 citations), Molecular Biology (163 citations) and Otorhinolaryngology (10 citations). Jun Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fei Tong, Yisheng Zhang, Yiming Zhong, Hangyu Wu, Ye Mei, Yingchao Zhu, Shizhong Bu, Siyang Wu, Yan Liu and Linbo Wang. Their work appears in journals such as Breast Cancer Targets and Therapy, Heliyon, Clinical Epigenetics, Scientific Reports and Journal of Cranio-Maxillofacial Surgery.
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.