Jun Ming
Impact in
- Biochemistry top 5%
- Plant Science top 5%
- Plant Molecular Biology Research
- Flowering Plant Growth and Cultivation
Papers in
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- Plant Gene Expression Analysis 18
- Plant biochemistry and biosynthesis 12
- Plant Reproductive Biology 11
- Plant tissue culture and regeneration 9
- DNA and Biological Computing 8
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- Plant Molecular Biology Research 18
- Flowering Plant Growth and Cultivation 15
- Plant Physiology and Cultivation Studies 8
- Co-authors
- Leifeng Xu (39 shared papers)Panpan Yang (35 shared papers)Yuwei Cao (24 shared papers)Yuchao Tang (23 shared papers)Guoren He (19 shared papers)Suxia Yuan (13 shared papers)Jun Wang (7 shared papers)Hua Xu (9 shared papers)
In The Last Decade
Jun Ming
73 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Biochemistry 85
- Plant Science 509
- Molecular Biology 649
- Endocrinology 20
- Ecology, Evolution, Behavior and Systematics 69
Countries citing papers authored by Jun Ming
This map shows the geographic impact of Jun 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 Jun Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ming more than expected).
Fields of papers citing papers by Jun Ming
This network shows the impact of papers produced by Jun 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 Jun Ming. The network helps show where Jun Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 110 | |
| 2 | 2021 | 81 | |
| 3 | 2019 | 56 | |
| 4 | 2017 | 52 | |
| 5 | 2017 | 50 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 41 | |
| 8 | 2017 | 38 | |
| 9 | 2023 | 36 | |
| 10 | 2020 | 36 | |
| 11 | 2022 | 35 | |
| 12 | 2012 | 34 | |
| 13 | 2017 | 31 | |
| 14 | 2018 | 28 | |
| 15 | 2018 | 25 | |
| 16 | 2022 | 23 | |
| 17 | 2018 | 19 | |
| 18 | 2022 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2021 | 16 |
About Jun Ming
Jun Ming is a scholar working on Molecular Biology, Plant Science, Biochemistry, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (18 papers), Plant Gene Expression Analysis (18 papers), Flowering Plant Growth and Cultivation (15 papers), Plant biochemistry and biosynthesis (12 papers), Plant Reproductive Biology (11 papers), Plant tissue culture and regeneration (9 papers), Plant Physiology and Cultivation Studies (8 papers) and DNA and Biological Computing (8 papers). The work is most often cited by research in Biochemistry (85 citations), Plant Science (509 citations), Molecular Biology (649 citations), Endocrinology (20 citations) and Ecology, Evolution, Behavior and Systematics (69 citations). Jun Ming has collaborated with scholars based in China, Spain and Australia. Frequent co-authors include Leifeng Xu, Panpan Yang, Yuwei Cao, Yuchao Tang, Guoren He, Suxia Yuan, Jun Wang, Hua Xu, Mario J. Pérez-Jímenez and Hong Peng. Their work appears in journals such as Scientia Horticulturae, Plant Disease, Frontiers in Plant Science, Agronomy and PLANT PHYSIOLOGY.
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.