Che‐Hung Shen
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
-
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Melanoma and MAPK Pathways 6
- DNA Repair Mechanisms 3
- Heat shock proteins research 2
- PI3K/AKT/mTOR signaling in cancer 2
- Metabolism, Diabetes, and Cancer 1
- Protein Degradation and Inhibitors 1
- Oncology 8
- Colorectal Cancer Treatments and Studies 2
- PARP inhibition in cancer therapy 2
- Co-authors
- Bin Zheng (5 shared papers)Rolando Pérez‐Lorenzo (2 shared papers)Julien Fitamant (1 shared paper)Shunying Zhu (1 shared paper)Jiayi Yang (1 shared paper)John M. Asara (1 shared paper)Xu Wu (1 shared paper)Michael DeRan (1 shared paper)
- Journals
- iScience (1 paper)Molecular Genetics and Genomics (1 paper)British Journal of Cancer (1 paper)Journal of Clinical Medicine (1 paper)Oncogenesis (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Che‐Hung Shen
18 papers receiving 612 citations
Peers
Comparison fields: 5 of 71
- Cell Biology 230
- Cancer Research 115
- Molecular Biology 437
- Oncology 144
- Biochemistry 25
Countries citing papers authored by Che‐Hung Shen
This map shows the geographic impact of Che‐Hung 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 Che‐Hung Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che‐Hung Shen more than expected).
Fields of papers citing papers by Che‐Hung Shen
This network shows the impact of papers produced by Che‐Hung 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 Che‐Hung Shen. The network helps show where Che‐Hung Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Che‐Hung 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 251 | |
| 2 | 2013 | 176 | |
| 3 | 2013 | 39 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2020 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2019 | 12 | |
| 11 | 2023 | 9 | |
| 12 | 2006 | 7 | |
| 13 | Low expression of cytosolic NOTCH1 predicts poor prognosis of breast cancer patients. | 2022 | 7 |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2020 | 1 | |
| 18 | 2016 | 1 |
About Che‐Hung Shen
Che‐Hung Shen is a scholar working on Molecular Biology, Oncology, Cell Biology, Pathology and Forensic Medicine and Dermatology, having authored 18 papers that have together received 617 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), DNA Repair Mechanisms (3 papers), Colorectal Cancer Treatments and Studies (2 papers), PARP inhibition in cancer therapy (2 papers), Heat shock proteins research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cell Biology (230 citations), Cancer Research (115 citations), Molecular Biology (437 citations), Oncology (144 citations) and Biochemistry (25 citations). Che‐Hung Shen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Bin Zheng, Rolando Pérez‐Lorenzo, Julien Fitamant, Shunying Zhu, Jiayi Yang, John M. Asara, Xu Wu, Michael DeRan, Jun Liu and Nabeel Bardeesy. Their work appears in journals such as iScience, Molecular Genetics and Genomics, British Journal of Cancer, Journal of Clinical Medicine and Oncogenesis.
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.