Feng Ming
- Plant Science top 1%
- Plant Molecular Biology Research 23
- Plant Stress Responses and Tolerance 15
- Plant nutrient uptake and metabolism 14
- Plant-Microbe Interactions and Immunity 8
- Molecular Biology top 10%
- Plant Gene Expression Analysis 18
- Plant biochemistry and biosynthesis 11
- Plant Reproductive Biology 10
- Photosynthetic Processes and Mechanisms 9
- Biochemistry top 10%
- Biochemistry top 10%
- Journals
- Plant Science (4 papers)Plant Molecular Biology (4 papers)Plant Cell & Environment (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng Ming
89 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Plant Science 1.7k
- Molecular Biology 1.2k
- Biochemistry 53
- Biochemistry 61
- Ecology, Evolution, Behavior and Systematics 156
Countries citing papers authored by Feng Ming
This map shows the geographic impact of Feng Ming'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 Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ming more than expected).
Fields of papers citing papers by Feng Ming
This network shows the impact of papers produced by Feng Ming. 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 Ming. The network helps show where Feng Ming may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Ming, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 12 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 25 | |
| 10 | 2017 | 15 | |
| 11 | 2014 | 5 | |
| 12 | [Effects of tillage mode and nitrogen application rate on nitrogen use efficiency of wheat in a farming-pasture zone of North China]. | 2013 | 4 |
| 13 | 2012 | 2 | |
| 14 | 2012 | 16 | |
| 15 | 2011 | 22 | |
| 16 | 2011 | 40 | |
| 17 | Grain yield and quality responding to the nitrogen fertilizer operation in different quality type wheat | 2010 | 1 |
| 18 | 2007 | 14 | |
| 19 | 2007 | 42 | |
| 20 | Cloning and Expression Analysis of a Phalaenopsis Flowering-related gene pPI9 | 2006 | 2 |
About Feng Ming
Feng Ming is a scholar working on Plant Science, Biochemistry, Molecular Biology, Internal Medicine and Insect Science, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (23 papers), Plant Gene Expression Analysis (18 papers), Plant Stress Responses and Tolerance (15 papers), Plant nutrient uptake and metabolism (14 papers), Plant biochemistry and biosynthesis (11 papers), Plant Reproductive Biology (10 papers), Photosynthetic Processes and Mechanisms (9 papers) and Plant-Microbe Interactions and Immunity (8 papers). The work is most often cited by research in Plant Science (1.7k citations), Molecular Biology (1.2k citations), Biochemistry (53 citations), Biochemistry (61 citations) and Ecology, Evolution, Behavior and Systematics (156 citations). Feng Ming has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chanjuan Mao, Bo Lv, Dandan Xi, Yaofeng Wang, Liqiong Luo, Xuan Zhang, Jianmei He, Jiabin Shen, Songchong Lu and Hong Mā. Their work appears in journals such as Plant Science, Plant Molecular Biology, Plant Cell & Environment, International Journal of Molecular Sciences and Journal of Integrative Plant Biology.
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.