Dan Su
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Postharvest Quality and Shelf Life Management
- Plant Physiology and Cultivation Studies
- Plant Virus Research Studies
Papers in
-
- Plant Molecular Biology Research 5
- Postharvest Quality and Shelf Life Management 4
- Plant Physiology and Cultivation Studies 3
- Plant Virus Research Studies 2
-
- Plant Gene Expression Analysis 5
- Plant biochemistry and biosynthesis 2
- Co-authors
- Heng Deng (8 shared papers)Mingchun Liu (7 shared papers)Mondher Bouzayen (3 shared papers)Don Grierson (4 shared papers)Yao Chen (2 shared papers)Yongsheng Liu (2 shared papers)Julien Pirrello (2 shared papers)Peng Shu (3 shared papers)
- Journals
- Journal of Food Composition and Analysis (2 papers)Horticulture Research (2 papers)Nature Communications (1 paper)Frontiers in Plant Science (1 paper)Aquaculture (1 paper)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Dan Su
15 papers receiving 356 citations
Dan Su's Hit Papers
Peers
Comparison fields: 5 of 51
- Plant Science 275
- Biochemistry 23
- Horticulture 3
- Molecular Biology 195
- Insect Science 32
Countries citing papers authored by Dan Su
This map shows the geographic impact of Dan 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 Dan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Su more than expected).
Fields of papers citing papers by Dan Su
This network shows the impact of papers produced by Dan 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 Dan Su. The network helps show where Dan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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
| # | Work | ||
|---|---|---|---|
| 1 | SlERF.F12 modulates the transition to ripening in tomato fruit by recruiting the co-repressor TOPLESS and histone deacetylases to repress key ripening genes Hit paper breakdown → | 2022 | 136 |
| 2 | 2020 | 54 | |
| 3 | 2022 | 34 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2025 | 8 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Dan Su
Dan Su is a scholar working on Plant Science, Molecular Biology, Nutrition and Dietetics, Insect Science and Genetics, having authored 17 papers that have together received 360 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Plant Gene Expression Analysis (5 papers), Postharvest Quality and Shelf Life Management (4 papers), Plant Physiology and Cultivation Studies (3 papers), Plant Virus Research Studies (2 papers), Insect-Plant Interactions and Control (2 papers), Selenium in Biological Systems (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Plant Science (275 citations), Biochemistry (23 citations), Horticulture (3 citations), Molecular Biology (195 citations) and Insect Science (32 citations). Dan Su has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Heng Deng, Mingchun Liu, Mondher Bouzayen, Don Grierson, Yao Chen, Yongsheng Liu, Julien Pirrello, Peng Shu, Ruochen Wang and Yanwei Hao. Their work appears in journals such as Journal of Food Composition and Analysis, Horticulture Research, Nature Communications, Frontiers in Plant Science and Aquaculture.
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.