Jun Shen
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
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- Pregnancy and preeclampsia studies
Papers in
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- Breast Cancer Treatment Studies 4
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- RNA modifications and cancer 3
- Co-authors
- Fei Tong (2 shared papers)Ye Mei (2 shared papers)Hangyu Wu (2 shared papers)Yisheng Zhang (2 shared papers)Yan Liu (1 shared paper)Yingchao Zhu (1 shared paper)Siyang Wu (1 shared paper)Shizhong Bu (1 shared paper)
- Journals
- Breast Cancer Targets and Therapy (2 papers)Heliyon (2 papers)Medicine (1 paper)Journal of Cranio-Maxillofacial Surgery (1 paper)American Journal of Otolaryngology (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jun Shen
29 papers receiving 336 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 141
- Obstetrics and Gynecology 25
- Oncology 66
- Otorhinolaryngology 9
- Molecular Biology 136
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2020 | 43 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 10 | |
| 13 | Remarks on the sequential effect algebras | 2009 | 8 |
| 14 | 2016 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 5 |
About Jun Shen
Jun Shen is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 33 papers that have together received 341 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Cancer Cells and Metastasis (3 papers), RNA modifications and cancer (3 papers), Advanced Breast Cancer Therapies (2 papers), Advanced Algebra and Logic (2 papers), HER2/EGFR in Cancer Research (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Rings, Modules, and Algebras (1 paper). The work is most often cited by research in Cancer Research (141 citations), Obstetrics and Gynecology (25 citations), Oncology (66 citations), Otorhinolaryngology (9 citations) and Molecular Biology (136 citations). Jun Shen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Fei Tong, Ye Mei, Hangyu Wu, Yisheng Zhang, Yan Liu, Yingchao Zhu, Siyang Wu, Shizhong Bu, Linbo Wang and Jianguo Shen. Their work appears in journals such as Breast Cancer Targets and Therapy, Heliyon, Medicine, Journal of Cranio-Maxillofacial Surgery and American Journal of Otolaryngology.
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.