Bin Cheng
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Hepatology top 5%
Papers in
-
- Epigenetics and DNA Methylation 12
- Oncology 38
- Pancreatic and Hepatic Oncology Research 16
- Cancer Cells and Metastasis 11
- Co-authors
- Ronghua Wang (22 shared papers)Si Xiong (25 shared papers)Yawen Li (12 shared papers)Xiju Wang (10 shared papers)Yuchong Zhao (30 shared papers)Ailong Huang (3 shared papers)Ni Tang (3 shared papers)Qingzhu Gao (2 shared papers)
- Journals
- Carcinogenesis (3 papers)Cell Death Discovery (2 papers)Annals of Palliative Medicine (2 papers)Oncology Reports (2 papers)Cell Communication and Signaling (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bin Cheng
96 papers receiving 2.3k citations
Bin Cheng's Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 674
- Hepatology 288
- Oncology 729
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 398
Countries citing papers authored by Bin Cheng
This map shows the geographic impact of Bin 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 Bin Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cheng more than expected).
Fields of papers citing papers by Bin Cheng
This network shows the impact of papers produced by Bin 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 Bin Cheng. The network helps show where Bin Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GSTZ1 sensitizes hepatocellular carcinoma cells to sorafenib-induced ferroptosis via inhibition of NRF2/GPX4 axis Hit paper breakdown → | 2021 | 237 |
| 2 | 2018 | 134 | |
| 3 | 2015 | 134 | |
| 4 | Cancer-associated fibroblasts promote stem cell-like properties of hepatocellular carcinoma cells through IL-6/STAT3/Notch signaling. | 2018 | 113 |
| 5 | 2004 | 106 | |
| 6 | 2017 | 102 | |
| 7 | 2018 | 74 | |
| 8 | 2015 | 67 | |
| 9 | 2007 | 62 | |
| 10 | 2018 | 62 | |
| 11 | Liver volume in patients with or without chronic liver diseases. | 1998 | 60 |
| 12 | 2019 | 53 | |
| 13 | 2020 | 53 | |
| 14 | 2006 | 47 | |
| 15 | 2021 | 44 | |
| 16 | 2017 | 40 | |
| 17 | 2010 | 39 | |
| 18 | 2014 | 37 | |
| 19 | 2018 | 37 | |
| 20 | 2012 | 33 |
About Bin Cheng
Bin Cheng is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Epidemiology, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (16 papers), Epigenetics and DNA Methylation (12 papers), Cancer Cells and Metastasis (11 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Liver physiology and pathology (6 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Cancer Research (674 citations), Hepatology (288 citations), Oncology (729 citations), Molecular Biology (1.1k citations) and Pulmonary and Respiratory Medicine (398 citations). Bin Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ronghua Wang, Si Xiong, Yawen Li, Xiju Wang, Yuchong Zhao, Ailong Huang, Ni Tang, Qingzhu Gao, Kai Wang and Qiang Xue. Their work appears in journals such as Carcinogenesis, Cell Death Discovery, Annals of Palliative Medicine, Oncology Reports and Cell Communication and Signaling.
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.