Feng Chi
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Legume Nitrogen Fixing Symbiosis
- Nematode management and characterization studies
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- Nicotinic Acetylcholine Receptors Study 4
- RNA and protein synthesis mechanisms 4
-
- Acute Ischemic Stroke Management 3
- Co-authors
- Yuxiang Jing (4 shared papers)Frank B. Dazzo (3 shared papers)Y. G. Yanni (1 shared paper)Sheng‐He Huang (15 shared papers)Hidekazu Tsukamoto (5 shared papers)Chunhua Wu (9 shared papers)Jun Xu (2 shared papers)Samuel W. French (2 shared papers)
- Journals
- PLoS ONE (5 papers)Microbial Cell Factories (2 papers)Nanomaterials (2 papers)Frontiers in Immunology (2 papers)Future Microbiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feng Chi
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 136
- Plant Science 557
- Endocrinology 60
- Microbiology 70
- Hepatology 70
- Neurology 73
Countries citing papers authored by Feng Chi
This map shows the geographic impact of Feng Chi'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 Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chi more than expected).
Fields of papers citing papers by Feng Chi
This network shows the impact of papers produced by Feng Chi. 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 Chi. The network helps show where Feng Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Chi, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 451 | |
| 2 | 2015 | 192 | |
| 3 | 2017 | 141 | |
| 4 | 2010 | 110 | |
| 5 | 2010 | 63 | |
| 6 | 2011 | 60 | |
| 7 | 2024 | 46 | |
| 8 | 2010 | 40 | |
| 9 | 2023 | 34 | |
| 10 | 2012 | 34 | |
| 11 | 2016 | 33 | |
| 12 | 2011 | 31 | |
| 13 | 2010 | 31 | |
| 14 | 2013 | 30 | |
| 15 | 2010 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 2014 | 27 | |
| 18 | 2016 | 23 | |
| 19 | 2015 | 21 | |
| 20 | 2012 | 21 |
About Feng Chi
Feng Chi is a scholar working on Molecular Biology, Epidemiology, Genetics, Plant Science and Pharmacology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Nicotinic Acetylcholine Receptors Study (4 papers), RNA and protein synthesis mechanisms (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Building Energy and Comfort Optimization (3 papers), Acute Ischemic Stroke Management (3 papers) and Urban Heat Island Mitigation (3 papers). The work is most often cited by research in Plant Science (557 citations), Endocrinology (60 citations), Microbiology (70 citations), Hepatology (70 citations) and Neurology (73 citations). Feng Chi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuxiang Jing, Frank B. Dazzo, Y. G. Yanni, Sheng‐He Huang, Hidekazu Tsukamoto, Chunhua Wu, Jun Xu, Samuel W. French, Ambrose Jong and Vasu Punj. Their work appears in journals such as PLoS ONE, Microbial Cell Factories, Nanomaterials, Frontiers in Immunology and Future Microbiology.
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.