Dan Su

523 total citations · 1 hit paper
17 papers, 360 citations indexed

About

Dan Su is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Dan Su has authored 17 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 8 papers in Molecular Biology and 2 papers in Nutrition and Dietetics. Recurrent topics in Dan Su's work include Plant Gene Expression Analysis (5 papers), Plant Molecular Biology Research (5 papers) and Postharvest Quality and Shelf Life Management (4 papers). Dan Su is often cited by papers focused on Plant Gene Expression Analysis (5 papers), Plant Molecular Biology Research (5 papers) and Postharvest Quality and Shelf Life Management (4 papers). Dan Su collaborates with scholars based in China, United Kingdom and France. Dan Su's co-authors include Heng Deng, Mingchun Liu, Mondher Bouzayen, Don Grierson, Yongsheng Liu, Julien Pirrello, Yao Chen, Peng Shu, Ruochen Wang and Zhengguo Li and has published in prestigious journals such as Nature Communications, The Plant Cell and Bioresource Technology.

In The Last Decade

Dan Su

15 papers receiving 356 citations

Hit Papers

SlERF.F12 modulates the transition to ripening in tomato ... 2022 2026 2023 2024 2022 40 80 120

Peers

Dan Su
Song Mi Cho South Korea
Xuhao Pan China
M.E. Makgopa South Africa
Dan Su
Citations per year, relative to Dan Su Dan Su (= 1×) peers Changhua Zhu

Countries citing papers authored by Dan Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Su. A scholar is included among the top collaborators of Dan Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Su. Dan Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Chen, Xiaohong, Yan Hu, Shijie Zhou, et al.. (2025). A unique mechanism of snRNP core assembly. Nature Communications. 16(1). 3166–3166. 2 indexed citations
2.
Hu, Qian, Yue Lai, Dan Su, et al.. (2025). Light regulates tomato fruit metabolome via SlDML2‐mediated global DNA demethylation. Journal of Integrative Plant Biology. 68(2). 383–405.
3.
Su, Dan, Mengbo Wu, Hsihua Wang, et al.. (2025). Bi‐functional transcription factor SlbHLH95 regulates fruits flavonoid metabolism and grey mould resistance in tomato. Plant Biotechnology Journal. 23(6). 2083–2094. 8 indexed citations
5.
Su, Dan, et al.. (2024). Selenium speciation analysis of selenium-enriched Shiitake mushrooms (Lentinula edodes) by HPLC-ESI-MS. Journal of Food Composition and Analysis. 136. 106829–106829. 3 indexed citations
6.
Su, Dan, et al.. (2024). Exogenous selenium foliar application on nutrition, grain yield and quality of rice (Oryza sativa L.). Journal of Food Composition and Analysis. 130. 106145–106145. 8 indexed citations
7.
Su, Dan, Peng Shu, Yuan Chen, et al.. (2024). Dynamic m6A mRNA methylation reveals the involvement of AcALKBH10 in ripening‐related quality regulation in kiwifruit. New Phytologist. 243(6). 2265–2278. 9 indexed citations
9.
Wu, Mengbo, Kaidong Liu, Honghai Li, et al.. (2023). Gibberellins involved in fruit ripening and softening by mediating multiple hormonal signals in tomato. Horticulture Research. 11(2). uhad275–uhad275. 31 indexed citations
10.
Su, Dan, et al.. (2023). Hemocyte proliferation is associated with blood color shade variation in the blood clam, Tegillarca granosa. Aquaculture. 571. 739447–739447. 10 indexed citations
11.
Deng, Heng, Yao Chen, Ziyu Liu, et al.. (2022). SlERF.F12 modulates the transition to ripening in tomato fruit by recruiting the co-repressor TOPLESS and histone deacetylases to repress key ripening genes. The Plant Cell. 34(4). 1250–1272. 136 indexed citations breakdown →
13.
Su, Dan, Kaidong Liu, Ying Li, et al.. (2022). Genome-wide characterization of the tomato GASA family identifies SlGASA1 as a repressor of fruit ripening. Horticulture Research. 10(1). uhac222–uhac222. 34 indexed citations
14.
Hu, Zuqing, Xin Liu, Dan Su, et al.. (2021). Barley yellow dwarf virus-infected wheat plant modulated selection behavior of vector aphids. Journal of Pest Science. 95(3). 1273–1285. 11 indexed citations
15.
Zhang, Yaoxin, Xiaoqing He, Haochen Zhao, et al.. (2020). Genome-Wide Identification of DNA Methylases and Demethylases in Kiwifruit (Actinidia chinensis). Frontiers in Plant Science. 11. 514993–514993. 12 indexed citations
16.
Chen, Yao, Dan Su, Jie Li, et al.. (2020). Overexpression of bHLH95, a basic helix–loop–helix transcription factor family member, impacts trichome formation via regulating gibberellin biosynthesis in tomato. Journal of Experimental Botany. 71(12). 3450–3462. 54 indexed citations

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.

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