Jun Su
Impact in
- Plant Science top 5%
- Genetically Modified Organisms Research
- Weed Control and Herbicide Applications
- Rice Cultivation and Yield Improvement
- Pollution top 10%
- Pesticide and Herbicide Environmental Studies
Papers in
-
- Genetically Modified Organisms Research 16
- Plant Molecular Biology Research 2
-
- CRISPR and Genetic Engineering 14
- Insect Resistance and Genetics 9
- Plant tissue culture and regeneration 4
- Co-authors
- Bao‐Rong Lu (13 shared papers)Feng Wang (12 shared papers)Hui Xia (5 shared papers)Xiao Yang (7 shared papers)Jun Rong (5 shared papers)Zhiping Song (5 shared papers)Allison A. Snow (3 shared papers)Hui Xie (5 shared papers)
- Journals
- New Phytologist (3 papers)Annals of Applied Biology (2 papers)Evolutionary Applications (2 papers)Science Bulletin (2 papers)Environmental Earth Sciences (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jun Su
30 papers receiving 762 citations
Peers
Comparison fields: 5 of 77
- Plant Science 527
- Pollution 109
- Biotechnology 64
- Health, Toxicology and Mutagenesis 85
- Soil Science 51
Countries citing papers authored by Jun Su
This map shows the geographic impact of Jun Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Su more than expected).
Fields of papers citing papers by Jun Su
This network shows the impact of papers produced by Jun Su. 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 Su. The network helps show where Jun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Su, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 152 | |
| 2 | 2010 | 74 | |
| 3 | 2006 | 74 | |
| 4 | 2019 | 64 | |
| 5 | 2005 | 62 | |
| 6 | 2013 | 59 | |
| 7 | 2011 | 52 | |
| 8 | 2010 | 29 | |
| 9 | 2012 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2013 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2009 | 18 | |
| 14 | 2015 | 18 | |
| 15 | 2015 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2017 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2011 | 9 | |
| 20 | 2014 | 9 |
About Jun Su
Jun Su is a scholar working on Plant Science, Molecular Biology, Genetics, Pollution and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 805 indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (16 papers), CRISPR and Genetic Engineering (14 papers), Insect Resistance and Genetics (9 papers), Animal Genetics and Reproduction (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Plant tissue culture and regeneration (4 papers), Pesticide and Herbicide Environmental Studies (3 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Plant Science (527 citations), Pollution (109 citations), Biotechnology (64 citations), Health, Toxicology and Mutagenesis (85 citations) and Soil Science (51 citations). Jun Su has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Bao‐Rong Lu, Feng Wang, Hui Xia, Xiao Yang, Jun Rong, Zhiping Song, Allison A. Snow, Hui Xie, Lusheng Zhu and Jinhua Wang. Their work appears in journals such as New Phytologist, Annals of Applied Biology, Evolutionary Applications, Science Bulletin and Environmental Earth Sciences.
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.