Mintao Sun

968 total citations
41 papers, 665 citations indexed

About

Mintao Sun is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Mintao Sun has authored 41 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 14 papers in Molecular Biology and 6 papers in Soil Science. Recurrent topics in Mintao Sun's work include Plant Stress Responses and Tolerance (21 papers), Plant Molecular Biology Research (13 papers) and Photosynthetic Processes and Mechanisms (10 papers). Mintao Sun is often cited by papers focused on Plant Stress Responses and Tolerance (21 papers), Plant Molecular Biology Research (13 papers) and Photosynthetic Processes and Mechanisms (10 papers). Mintao Sun collaborates with scholars based in China, Denmark and United States. Mintao Sun's co-authors include Fangling Jiang, Zhen Wu, Junqin Wen, Yansu Li, Xianchang Yu, Chaoxing He, Rong Zhou, Lu Yu, Yanzhao Zhou and Yan Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and PLANT PHYSIOLOGY.

In The Last Decade

Mintao Sun

38 papers receiving 652 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mintao Sun China 16 569 248 52 35 27 41 665
Ying He China 17 591 1.0× 259 1.0× 83 1.6× 24 0.7× 8 0.3× 46 713
Markkandan Ganesan India 16 542 1.0× 346 1.4× 19 0.4× 14 0.4× 15 0.6× 31 651
Melanie J. Correll United States 20 834 1.5× 412 1.7× 46 0.9× 12 0.3× 25 0.9× 45 1.1k
Haishun Cao China 13 772 1.4× 247 1.0× 18 0.3× 50 1.4× 4 0.1× 19 855
Muhammad Kashif Naeem Pakistan 14 651 1.1× 185 0.7× 77 1.5× 45 1.3× 5 0.2× 49 751
Xia Zheng China 10 405 0.7× 189 0.8× 67 1.3× 18 0.5× 14 0.5× 16 466
Ghulam Qanmber China 21 1.1k 2.0× 743 3.0× 24 0.5× 12 0.3× 16 0.6× 50 1.2k
Yinbo Gan China 17 1.1k 1.9× 642 2.6× 43 0.8× 44 1.3× 7 0.3× 29 1.2k
Zhaoe Pan China 20 991 1.7× 344 1.4× 78 1.5× 15 0.4× 16 0.6× 70 1.1k
Gulzar S. Sanghera India 11 628 1.1× 285 1.1× 71 1.4× 29 0.8× 4 0.1× 46 716

Countries citing papers authored by Mintao Sun

Since Specialization
Citations

This map shows the geographic impact of Mintao Sun'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 Mintao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mintao Sun more than expected).

Fields of papers citing papers by Mintao Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mintao Sun. 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 Mintao Sun. The network helps show where Mintao Sun may publish in the future.

Co-authorship network of co-authors of Mintao Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Mintao Sun. A scholar is included among the top collaborators of Mintao Sun 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 Mintao Sun. Mintao Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xie, Kai‐Dong, Yixuan Chen, Xiaoqin Wang, et al.. (2025). Physiological and multi-omics analysis revealed the mechanism of arbuscular mycorrhizal fungi to cadmium toxicity in green onion. Ecotoxicology and Environmental Safety. 290. 117754–117754. 2 indexed citations
2.
3.
Xie, Kai‐Dong, Mintao Sun, Xiaoqin Wang, et al.. (2025). Genome-wide identification, expression analysis, and response to abiotic stress of the phosphate transporter gene family in cucumber (Cucumis sativus L.). BMC Plant Biology. 25(1). 677–677. 1 indexed citations
4.
Yan, Yan, et al.. (2025). Cold Stress Memory Genes in Cucumber are Widely Regulated by “Hit-and-Run” Model. Journal of Plant Growth Regulation. 44(9). 5012–5019.
5.
Li, Jin, Shuya Wang, Yansu Li, et al.. (2025). Use of silicon to protect tomato (Solanum lycopersicum L.) seedlings from low-calcium stress-derived oxidative damage. Scientia Horticulturae. 349. 114231–114231. 1 indexed citations
6.
Li, Yansu, Yan Yan, Chaoxing He, et al.. (2024). RESPIRATORY BURST OXIDASE HOMOLOG 5.1 regulates H3K4me3 deposition and transcription after cold priming in cucumber. PLANT PHYSIOLOGY. 197(2). 8 indexed citations
7.
Li, Shuzhen, et al.. (2023). Multifaceted regulatory functions of CsBPC2 in cucumber under salt stress conditions. Horticulture Research. 10(5). uhad051–uhad051. 18 indexed citations
8.
Li, Shuzhen, Xianchang Yu, Chaoxing He, et al.. (2023). CsBPC2 is a key regulator of root growth and development. Physiologia Plantarum. 175(4). e13977–e13977. 5 indexed citations
9.
Li, Shuzhen, Xianchang Yu, Chaoxing He, et al.. (2023). CsBPC2 is essential for cucumber survival under cold stress. BMC Plant Biology. 23(1). 566–566. 17 indexed citations
10.
Feng, Qian, Sen Yang, Lu Lu, et al.. (2021). Physiological and Molecular Mechanisms of ABA and CaCl2 Regulating Chilling Tolerance of Cucumber Seedlings. Plants. 10(12). 2746–2746. 25 indexed citations
11.
Wei, Xiaoxuan, Yansu Li, Xiaoguang Fan, et al.. (2021). Techno-Economic Feasibility of In Situ Vegetable Residue Return in the Chinese Solar Greenhouse. Agronomy. 11(9). 1828–1828. 10 indexed citations
12.
Liu, Yumei, Longqiang Bai, Mintao Sun, et al.. (2021). Interference of CsGPA1, the α-submit of G protein, reduces drought tolerance in cucumber seedlings. Horticultural Plant Journal. 7(3). 209–220. 14 indexed citations
13.
Zhou, Rong, Fangling Jiang, Mintao Sun, et al.. (2021). Reducing the Halotolerance Gap between Sensitive and Resistant Tomato by Spraying Melatonin. Agronomy. 12(1). 84–84. 6 indexed citations
14.
Li, Miao, Shuzhen Li, Chaoxing He, et al.. (2021). Genome-wide analysis of the AINTEGUMENTA-like (AIL) transcription factor gene family in pumpkin (Cucurbita moschata Duch.) and CmoANT1.2 response in graft union healing. Plant Physiology and Biochemistry. 162. 706–715. 7 indexed citations
15.
Sun, Mintao, Zhen Wu, Lu Yu, et al.. (2020). LncRNA regulates tomato fruit cracking by coordinating gene expression via a hormone-redox-cell wall network. BMC Plant Biology. 20(1). 162–162. 49 indexed citations
16.
Wen, Junqin, Fangling Jiang, Min Liu, et al.. (2020). Identification and expression analysis of Cathepsin B-like protease 2 genes in tomato at abiotic stresses especially at High temperature. Scientia Horticulturae. 277. 109799–109799. 9 indexed citations
17.
Yan, Yan, Mintao Sun, Yansu Li, et al.. (2020). The CsGPA1-CsAQPs module is essential for salt tolerance of cucumber seedlings. Plant Cell Reports. 39(10). 1301–1316. 17 indexed citations
18.
Wen, Junqin, Fangling Jiang, Yiqun Weng, et al.. (2019). Identification of heat-tolerance QTLs and high-temperature stress-responsive genes through conventional QTL mapping, QTL-seq and RNA-seq in tomato. BMC Plant Biology. 19(1). 398–398. 110 indexed citations
19.
20.
Zhou, Rong, Qian Wang, Fangling Jiang, et al.. (2016). Identification of miRNAs and their targets in wild tomato at moderately and acutely elevated temperatures by high-throughput sequencing and degradome analysis. Scientific Reports. 6(1). 33777–33777. 49 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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