Jun Hong
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- GABA and Rice Research
- Plant-Microbe Interactions and Immunity
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- Metabolomics and Mass Spectrometry Studies
- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
Papers in
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- Plant Stress Responses and Tolerance 3
- Plant Molecular Biology Research 3
- Plant Surface Properties and Treatments 2
- Rice Cultivation and Yield Improvement 2
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- Plant Gene Expression Analysis 4
- Plant Reproductive Biology 3
- Plant biochemistry and biosynthesis 2
- Co-authors
- Jianxin Shi (12 shared papers)Dabing Zhang (6 shared papers)Litao Yang (1 shared paper)Lei Shi (2 shared papers)Wanqi Liang (5 shared papers)Dabing Zhang (4 shared papers)Su Su (2 shared papers)Fu Wang (1 shared paper)
In The Last Decade
Jun Hong
16 papers receiving 538 citations
Peers
Comparison fields: 5 of 67
- Plant Science 351
- Molecular Biology 238
- Biochemistry 17
- Analytical Chemistry 23
- Biochemistry 16
Countries citing papers authored by Jun Hong
This map shows the geographic impact of Jun Hong'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 Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hong more than expected).
Fields of papers citing papers by Jun Hong
This network shows the impact of papers produced by Jun Hong. 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 Hong. The network helps show where Jun Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hong, 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 | 2016 | 220 | |
| 2 | 2022 | 76 | |
| 3 | 2021 | 59 | |
| 4 | 2013 | 35 | |
| 5 | 2021 | 30 | |
| 6 | 2018 | 22 | |
| 7 | 2020 | 21 | |
| 8 | 2023 | 20 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2020 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 3 |
About Jun Hong
Jun Hong is a scholar working on Plant Science, Molecular Biology, Genetics, Business and International Management and Biochemistry, having authored 16 papers that have together received 547 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (4 papers), Plant Reproductive Biology (3 papers), Plant Stress Responses and Tolerance (3 papers), Plant Molecular Biology Research (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant Surface Properties and Treatments (2 papers), Rice Cultivation and Yield Improvement (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Plant Science (351 citations), Molecular Biology (238 citations), Biochemistry (17 citations), Analytical Chemistry (23 citations) and Biochemistry (16 citations). Jun Hong has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Jianxin Shi, Dabing Zhang, Litao Yang, Lei Shi, Wanqi Liang, Dabing Zhang, Su Su, Fu Wang, Dan Ma and Andreas Bührig–Polaczek. Their work appears in journals such as Plants, Plant Cell Reports, Theoretical and Applied Genetics, Plant Science and Plant Biotechnology Journal.
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.