Simeng Wen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
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- Prostate Cancer Treatment and Research
Papers in
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- Prostate Cancer Treatment and Research 11
- Prostate Cancer Diagnosis and Treatment 4
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- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- RNA Research and Splicing 2
- Co-authors
- Chawnshang Chang (10 shared papers)Yuanjie Niu (4 shared papers)Yulei Wei (4 shared papers)Yu Zhao (4 shared papers)Wei Xiong (1 shared paper)Soo Ok Lee (2 shared papers)Shuyuan Yeh (5 shared papers)Zhiqun Shang (8 shared papers)
- Journals
- Oncogene (4 papers)Journal of Clinical Oncology (3 papers)Cancer Letters (2 papers)The Prostate (2 papers)BMC Urology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Simeng Wen
27 papers receiving 958 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 364
- Pulmonary and Respiratory Medicine 276
- Oncology 195
- Molecular Biology 523
- Genetics 44
Countries citing papers authored by Simeng Wen
This map shows the geographic impact of Simeng Wen'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 Simeng Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simeng Wen more than expected).
Fields of papers citing papers by Simeng Wen
This network shows the impact of papers produced by Simeng Wen. 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 Simeng Wen. The network helps show where Simeng Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Simeng Wen, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 215 | |
| 2 | 2013 | 131 | |
| 3 | 2013 | 94 | |
| 4 | 2014 | 60 | |
| 5 | 2019 | 54 | |
| 6 | 2015 | 51 | |
| 7 | 2023 | 38 | |
| 8 | 2016 | 36 | |
| 9 | 2018 | 36 | |
| 10 | 2020 | 36 | |
| 11 | 2019 | 32 | |
| 12 | 2023 | 26 | |
| 13 | 2013 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2016 | 23 | |
| 16 | 2011 | 23 | |
| 17 | 2016 | 16 | |
| 18 | 2024 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 6 |
About Simeng Wen
Simeng Wen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 963 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Prostate Cancer Diagnosis and Treatment (4 papers), RNA modifications and cancer (4 papers), Ubiquitin and proteasome pathways (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Cancer-related molecular mechanisms research (3 papers), Protein Degradation and Inhibitors (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (364 citations), Pulmonary and Respiratory Medicine (276 citations), Oncology (195 citations), Molecular Biology (523 citations) and Genetics (44 citations). Simeng Wen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chawnshang Chang, Yuanjie Niu, Yulei Wei, Yu Zhao, Yuanjie Niu, Wei Xiong, Soo Ok Lee, Shuyuan Yeh, Zhiqun Shang and Haojie Huang. Their work appears in journals such as Oncogene, Journal of Clinical Oncology, Cancer Letters, The Prostate and BMC Urology.
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.