Feng Cheng
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Surgery 29
- Organ Transplantation Techniques and Outcomes 18
- Co-authors
- Xuehao Wang (30 shared papers)Jianhua Rao (20 shared papers)Ling Lü (9 shared papers)Shikun Yang (9 shared papers)Haoming Zhou (9 shared papers)Jiannan Qiu (6 shared papers)Ming Ni (4 shared papers)Wenjie Yang (6 shared papers)
- Journals
- Cell Death Discovery (3 papers)Gut (3 papers)Biochemical and Biophysical Research Communications (3 papers)Annals of Translational Medicine (3 papers)Transplantation (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng Cheng
80 papers receiving 1.6k citations
Feng Cheng's Hit Papers
Peers
Comparison fields: 5 of 113
- Hepatology 207
- Cancer Research 280
- Immunology 298
- Oncology 232
- Molecular Biology 584
Countries citing papers authored by Feng Cheng
This map shows the geographic impact of Feng 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 Feng Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cheng more than expected).
Fields of papers citing papers by Feng Cheng
This network shows the impact of papers produced by Feng 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 Feng Cheng. The network helps show where Feng Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FSTL1 promotes liver fibrosis by reprogramming macrophage function through modulating the intracellular function of PKM2 Hit paper breakdown → | 2022 | 152 |
| 2 | 2015 | 80 | |
| 3 | 2018 | 66 | |
| 4 | 2012 | 64 | |
| 5 | 2020 | 58 | |
| 6 | 2016 | 53 | |
| 7 | 2016 | 53 | |
| 8 | 2014 | 51 | |
| 9 | 2018 | 50 | |
| 10 | 2013 | 46 | |
| 11 | 2023 | 46 | |
| 12 | 2016 | 43 | |
| 13 | 2013 | 42 | |
| 14 | 2021 | 40 | |
| 15 | 2009 | 37 | |
| 16 | 2014 | 34 | |
| 17 | 2020 | 32 | |
| 18 | 2020 | 31 | |
| 19 | 2020 | 31 | |
| 20 | 2020 | 30 |
About Feng Cheng
Feng Cheng is a scholar working on Surgery, Molecular Biology, Epidemiology, Hepatology and Oncology, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (18 papers), Liver Disease and Transplantation (11 papers), Liver Disease Diagnosis and Treatment (7 papers), Trace Elements in Health (7 papers), Autophagy in Disease and Therapy (6 papers), Phagocytosis and Immune Regulation (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Hepatology (207 citations), Cancer Research (280 citations), Immunology (298 citations), Oncology (232 citations) and Molecular Biology (584 citations). Feng Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuehao Wang, Jianhua Rao, Ling Lü, Shikun Yang, Haoming Zhou, Jiannan Qiu, Ming Ni, Wenjie Yang, Yuanchang Hu and Liyong Pu. Their work appears in journals such as Cell Death Discovery, Gut, Biochemical and Biophysical Research Communications, Annals of Translational Medicine and Transplantation.
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.