Fengli Fu
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
- Legume Nitrogen Fixing Symbiosis
- Soybean genetics and cultivation
Papers in
-
- Legume Nitrogen Fixing Symbiosis 3
- Plant Virus Research Studies 3
- Soybean genetics and cultivation 2
-
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Daniel F. Voytas (4 shared papers)J. Keith Joung (3 shared papers)David A. Wright (2 shared papers)Morgan L. Maeder (2 shared papers)Jeffrey Townsend (1 shared paper)Carroll P. Vance (3 shared papers)Jamie A. O’Rourke (3 shared papers)Patrick X. Zhao (2 shared papers)
- Journals
- BMC Genomics (2 papers)Theoretical and Applied Genetics (1 paper)Nature Protocols (1 paper)G3 Genes Genomes Genetics (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Fengli Fu
11 papers receiving 1.1k citations
Fengli Fu's Hit Papers
Peers
Comparison fields: 5 of 62
- Plant Science 748
- Business and International Management 41
- Molecular Biology 811
- Aging 14
- Biotechnology 65
Countries citing papers authored by Fengli Fu
This map shows the geographic impact of Fengli Fu'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 Fengli Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengli Fu more than expected).
Fields of papers citing papers by Fengli Fu
This network shows the impact of papers produced by Fengli Fu. 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 Fengli Fu. The network helps show where Fengli Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengli Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | High-frequency modification of plant genes using engineered zinc-finger nucleases Hit paper breakdown → | 2009 | 613 |
| 2 | 2006 | 159 | |
| 3 | 2014 | 132 | |
| 4 | 2016 | 72 | |
| 5 | 2015 | 68 | |
| 6 | 2014 | 40 | |
| 7 | 2016 | 39 | |
| 8 | 2010 | 19 | |
| 9 | 2012 | 16 | |
| 10 | 2022 | 11 | |
| 11 | 2018 | 1 |
About Fengli Fu
Fengli Fu is a scholar working on Plant Science, Molecular Biology, Pathology and Forensic Medicine, Business and International Management and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Legume Nitrogen Fixing Symbiosis (3 papers), Plant Virus Research Studies (3 papers), Soybean genetics and cultivation (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Breast Lesions and Carcinomas (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Plant Science (748 citations), Business and International Management (41 citations), Molecular Biology (811 citations), Aging (14 citations) and Biotechnology (65 citations). Fengli Fu has collaborated with scholars based in United States, China and France. Frequent co-authors include Daniel F. Voytas, J. Keith Joung, David A. Wright, Morgan L. Maeder, Jeffrey Townsend, Carroll P. Vance, Jamie A. O’Rourke, Patrick X. Zhao, Xinbin Dai and Jeffry D. Sander. Their work appears in journals such as BMC Genomics, Theoretical and Applied Genetics, Nature Protocols, G3 Genes Genomes Genetics and Nature.
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.