Feng Cheng
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
Papers in
-
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 5
-
- Advanced Thermoelectric Materials and Devices 7
- Thermal Expansion and Ionic Conductivity 5
- Co-authors
- Kaixian Chen (10 shared papers)Jianhua Shen (8 shared papers)Xiaomin Luo (9 shared papers)Hualiang Jiang (7 shared papers)Qinghua Wang (2 shared papers)Jianpeng Ma (2 shared papers)Sandy D. Westerheide (3 shared papers)Eric Oldfield (2 shared papers)
- Journals
- PLoS ONE (7 papers)Scientific Reports (6 papers)Journal of Alzheimer s Disease (3 papers)Biological Trace Element Research (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feng Cheng
166 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 176
- Aging 95
- Molecular Biology 1.3k
- Toxicology 61
- Cancer Research 243
- Pharmaceutical Science 95
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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 173 | |
| 2 | 2014 | 156 | |
| 3 | 2008 | 127 | |
| 4 | 2016 | 112 | |
| 5 | 2003 | 111 | |
| 6 | 2019 | 81 | |
| 7 | 2003 | 81 | |
| 8 | 2009 | 79 | |
| 9 | 2009 | 65 | |
| 10 | 2019 | 64 | |
| 11 | 2020 | 62 | |
| 12 | 2003 | 61 | |
| 13 | 2003 | 58 | |
| 14 | 2021 | 55 | |
| 15 | 2002 | 55 | |
| 16 | 2019 | 53 | |
| 17 | 2017 | 52 | |
| 18 | 2019 | 52 | |
| 19 | 2018 | 48 | |
| 20 | 2014 | 47 |
About Feng Cheng
Feng Cheng is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Cancer Research and Physiology, having authored 171 papers that have together received 3.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Fluorine in Organic Chemistry (9 papers), Cyclopropane Reaction Mechanisms (7 papers), Advanced Thermoelectric Materials and Devices (7 papers), Gene expression and cancer classification (5 papers), Thermal Expansion and Ionic Conductivity (5 papers), Cardiac Ischemia and Reperfusion (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Aging (95 citations), Molecular Biology (1.3k citations), Toxicology (61 citations), Cancer Research (243 citations) and Pharmaceutical Science (95 citations). Feng Cheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kaixian Chen, Jianhua Shen, Xiaomin Luo, Hualiang Jiang, Qinghua Wang, Jianpeng Ma, Sandy D. Westerheide, Eric Oldfield, Nenad Šestan and Ying Zhu. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Alzheimer s Disease, Biological Trace Element Research and International Journal of Biological Macromolecules.
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.