Feng Cheng
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
Papers in ⓘ
-
- Advanced Thermoelectric Materials and Devices 9
- Co-authors
- Kaixian Chen (10 shared papers)Jianhua Shen (8 shared papers)Xiaomin Luo (9 shared papers)Hualiang Jiang (7 shared papers)Adrian Boatwright (8 shared papers)Shengfu Yang (9 shared papers)D. Spence (8 shared papers)Elspeth Latimer (6 shared papers)
- Journals
- PLoS ONE (7 papers)Scientific Reports (6 papers)Physical Chemistry Chemical Physics (3 papers)Journal of Alzheimer s Disease (3 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng Cheng
200 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 185
- Aging 96
- Molecular Biology 1.4k
- Toxicology 70
- Cancer Research 282
- Nephrology 111
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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 166 | |
| 2 | 2014 | 150 | |
| 3 | 2008 | 123 | |
| 4 | 2016 | 111 | |
| 5 | 2003 | 110 | |
| 6 | 2003 | 81 | |
| 7 | 2009 | 78 | |
| 8 | 2019 | 78 | |
| 9 | 2004 | 69 | |
| 10 | 2014 | 68 | |
| 11 | 2009 | 65 | |
| 12 | 2003 | 61 | |
| 13 | 2019 | 61 | |
| 14 | 2020 | 60 | |
| 15 | 2003 | 58 | |
| 16 | 2002 | 55 | |
| 17 | 2021 | 53 | |
| 18 | 2013 | 52 | |
| 19 | 2019 | 52 | |
| 20 | 2017 | 50 |
About Feng Cheng
Feng Cheng is a scholar working on Molecular Biology, Materials Chemistry, Surgery, Cancer Research and Organic Chemistry, having authored 208 papers that have together received 3.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Quantum, superfluid, helium dynamics (9 papers), Fluorine in Organic Chemistry (9 papers), Advanced Thermoelectric Materials and Devices (9 papers), Organ Transplantation Techniques and Outcomes (8 papers), Cyclopropane Reaction Mechanisms (7 papers), Advanced Chemical Physics Studies (7 papers) and Cardiac Ischemia and Reperfusion (6 papers). The work is most often cited by research in Aging (96 citations), Molecular Biology (1.4k citations), Toxicology (70 citations), Cancer Research (282 citations) and Nephrology (111 citations). Feng Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kaixian Chen, Jianhua Shen, Xiaomin Luo, Hualiang Jiang, Adrian Boatwright, Shengfu Yang, D. Spence, Elspeth Latimer, Qinghua Wang and Jianpeng Ma. Their work appears in journals such as PLoS ONE, Scientific Reports, Physical Chemistry Chemical Physics, Journal of Alzheimer s Disease and Molecules.
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.