Run-Fen Cheng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Cancer Cells and Metastasis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 6
- Cancer-related gene regulation 6
- RNA modifications and cancer 5
- Oncology 12
- Cancer Cells and Metastasis 5
- Co-authors
- Xiulan Zhao (7 shared papers)Lisha Qi (2 shared papers)Baocun Sun (7 shared papers)Baocun Sun (4 shared papers)Fangyuan Qu (3 shared papers)Zhaoxiang Ye (3 shared papers)Zhiyong Liu (2 shared papers)Qiang Gu (2 shared papers)
- Journals
- Cancer Biology and Medicine (3 papers)Frontiers in Oncology (3 papers)Oncotarget (2 papers)Cell Death and Disease (2 papers)Acta Pharmaceutica (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Run-Fen Cheng
38 papers receiving 751 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 168
- Oncology 204
- Radiology, Nuclear Medicine and Imaging 164
- Obstetrics and Gynecology 52
- Molecular Biology 425
Countries citing papers authored by Run-Fen Cheng
This map shows the geographic impact of Run-Fen Cheng'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 Run-Fen Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run-Fen Cheng more than expected).
Fields of papers citing papers by Run-Fen Cheng
This network shows the impact of papers produced by Run-Fen Cheng. 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 Run-Fen Cheng. The network helps show where Run-Fen Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Run-Fen Cheng, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 99 | |
| 2 | 2018 | 85 | |
| 3 | 2014 | 70 | |
| 4 | 2021 | 62 | |
| 5 | 2014 | 55 | |
| 6 | 2017 | 53 | |
| 7 | 2014 | 37 | |
| 8 | 2017 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2015 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2015 | 15 | |
| 15 | 2023 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2022 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2022 | 9 |
About Run-Fen Cheng
Run-Fen Cheng is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 38 papers that have together received 757 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Cancer Cells and Metastasis (5 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cancer Research (168 citations), Oncology (204 citations), Radiology, Nuclear Medicine and Imaging (164 citations), Obstetrics and Gynecology (52 citations) and Molecular Biology (425 citations). Run-Fen Cheng has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Xiulan Zhao, Lisha Qi, Baocun Sun, Baocun Sun, Fangyuan Qu, Zhaoxiang Ye, Zhiyong Liu, Qiang Gu, Xueyi Dong and Ying Liu. Their work appears in journals such as Cancer Biology and Medicine, Frontiers in Oncology, Oncotarget, Cell Death and Disease and Acta Pharmaceutica.
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.