Feng Qu
Impact in
- Endocrinology top 0.5%
- Plant and Fungal Interactions Research
- Plant Science top 0.5%
- Plant Virus Research Studies
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
- Plant Parasitism and Resistance
Papers in
-
- Plant and Fungal Interactions Research 30
-
- Plant Virus Research Studies 62
- Plant-Microbe Interactions and Immunity 11
- Plant Molecular Biology Research 8
- Co-authors
- T.J. MorrisTao RenXiaohong YeXiaofeng ZhangXiuchun ZhangThomas E. ClementeShirley SatoDawei Li
- Journals
- Journal of Virology (9 papers)Virology (8 papers)Plant Disease (5 papers)Virus Research (4 papers)Molecular Plant-Microbe Interactions (4 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Feng Qu
93 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 78
- Endocrinology 886
- Plant Science 2.5k
- Horticulture 52
- Insect Science 484
- Biotechnology 266
Countries citing papers authored by Feng Qu
This map shows the geographic impact of Feng Qu'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 Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Qu more than expected).
Fields of papers citing papers by Feng Qu
This network shows the impact of papers produced by Feng Qu. 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 Qu. The network helps show where Feng Qu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Qu, 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 | 2023 | 0 | |
| 2 | 2019 | 31 | |
| 3 | 2017 | 2 | |
| 4 | 2017 | 14 | |
| 5 | 2017 | 3 | |
| 6 | 2016 | 4 | |
| 7 | 2016 | 2 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 8 | |
| 16 | 2014 | 2 | |
| 17 | 2013 | 2 | |
| 18 | 2013 | 3 | |
| 19 | A Biomechanical Analysis of Bai Yan's Tennis Service Technique | 2008 | 0 |
| 20 | 1998 | 81 |
About Feng Qu
Feng Qu is a scholar working on Endocrinology, Plant Science, Horticulture, Insect Science and Catalysis, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant Virus Research Studies (62 papers), Plant and Fungal Interactions Research (30 papers), Plant-Microbe Interactions and Immunity (11 papers), Microfluidic and Capillary Electrophoresis Applications (11 papers), Insect-Plant Interactions and Control (9 papers), CRISPR and Genetic Engineering (9 papers), Plant Molecular Biology Research (8 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Endocrinology (886 citations), Plant Science (2.5k citations), Horticulture (52 citations), Insect Science (484 citations) and Biotechnology (266 citations). Feng Qu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include T.J. Morris, Tao Ren, Xiaohong Ye, Xiaofeng Zhang, Xiuchun Zhang, Thomas E. Clemente, Shirley Sato, Dawei Li, Guichuan Hou and Roy French. Their work appears in journals such as Journal of Virology, Virology, Plant Disease, Virus Research and Molecular Plant-Microbe Interactions.
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.