Ying Su

1.1k total citations
27 papers, 565 citations indexed

About

Ying Su is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Ying Su has authored 27 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 6 papers in Molecular Biology and 4 papers in Food Science. Recurrent topics in Ying Su's work include Research in Cotton Cultivation (11 papers), Fermentation and Sensory Analysis (4 papers) and Plant Molecular Biology Research (4 papers). Ying Su is often cited by papers focused on Research in Cotton Cultivation (11 papers), Fermentation and Sensory Analysis (4 papers) and Plant Molecular Biology Research (4 papers). Ying Su collaborates with scholars based in China, United States and Indonesia. Ying Su's co-authors include Yumei Wang, Cunman Zhang, Hong Lv, Jinping Hua, Wei Zhou, Jinping Hua, Yi Huang, Amparo Querol, José Manuel Guillamón and Yanpeng Zhao and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Hydrogen Energy.

In The Last Decade

Ying Su

27 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Su China 14 323 173 136 68 44 27 565
Zhaohui Tang China 15 244 0.8× 71 0.4× 126 0.9× 61 0.9× 28 586
Wenfu Hou China 15 193 0.6× 135 0.8× 126 0.9× 23 0.3× 48 633
Željko Jakopović Croatia 11 91 0.3× 59 0.3× 105 0.8× 13 0.2× 5 0.1× 49 363
Ali Jalali Iran 9 232 0.7× 124 0.7× 77 0.6× 29 0.4× 18 412
Harleen Kaur India 12 620 1.9× 400 2.3× 42 0.3× 81 1.2× 53 1.1k
Kenneth Francis Rodrigues Malaysia 4 65 0.2× 413 2.4× 101 0.7× 24 0.4× 4 0.1× 5 690
Carlos Alberto Gasparetto Brazil 10 114 0.4× 93 0.5× 355 2.6× 27 0.4× 1 0.0× 24 539
Peiyun Li China 11 50 0.2× 68 0.4× 52 0.4× 107 1.6× 20 507
Ahmet Erdoğan Türkiye 11 178 0.6× 66 0.4× 185 1.4× 12 0.2× 1 0.0× 36 406
Daniel Brabec United States 15 486 1.5× 85 0.5× 86 0.6× 8 0.1× 48 668

Countries citing papers authored by Ying Su

Since Specialization
Citations

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

Fields of papers citing papers by Ying Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Su. A scholar is included among the top collaborators of Ying 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 Ying Su. Ying Su 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.
Su, Ying, Hong Lv, Dong Liu, & Cunman Zhang. (2025). The effects of different hydrogen incident angles on the temperature rise of the Type IV tanks for fuel cell passenger cars. Process Safety and Environmental Protection. 199. 107285–107285. 3 indexed citations
2.
Lv, Hong, et al.. (2025). Research on rapid refueling of Type-IV hydrogen storage tanks for hydrogen-powered heavy-duty commercial vehicles. Renewable Energy. 253. 123673–123673. 5 indexed citations
3.
Su, Ying, Hong Lv, Cong Feng, & Cunman Zhang. (2023). Hydrogen permeability of polyamide 6 as the liner material of Type Ⅳ hydrogen storage tanks: A molecular dynamics investigation. International Journal of Hydrogen Energy. 50. 1598–1606. 14 indexed citations
4.
Li, Chunmei, You Wu, Yan Song, et al.. (2023). Expression profiles of human somatic mesenchymal stem cells derived from fresh endometrium, ectopic-endometrium and umbilical cord. Ginekologia Polska. 94(12). 950–958. 1 indexed citations
5.
Su, Ying, et al.. (2023). Review of Decompression Damage of the Polymer Liner of the Type IV Hydrogen Storage Tank. Polymers. 15(10). 2258–2258. 26 indexed citations
6.
Li, Jiyu, Chunyan Liu, Qinghua Yu, et al.. (2022). Identification of sugar transporter (SWEET) genes involved in pomegranate seed coat sugar accumulation. 3 Biotech. 12(9). 181–181. 4 indexed citations
7.
Su, Ying, Bin Li, Nan Zhao, et al.. (2022). Two Aquaporin Genes, GhPIP2;7 and GhTIP2;1, Positively Regulate the Tolerance of Upland Cotton to Salt and Osmotic Stresses. Frontiers in Plant Science. 12. 780486–780486. 24 indexed citations
8.
Jiang, Xuefei, Ying Su, & Maolin Wang. (2022). Mapping of a novel clubroot disease resistance locus in Brassica napus and related functional identification. Frontiers in Plant Science. 13. 1014376–1014376. 6 indexed citations
9.
Su, Ying, Ming‐Xing Lu, Liquan Jing, et al.. (2021). Nutritional Properties of Larval Epidermis and Meat of the Edible Insect Clanis bilineata tsingtauica (Lepidoptera: Sphingidae). Foods. 10(12). 2895–2895. 16 indexed citations
10.
11.
Su, Ying, Yi Huang, Yumei Wang, et al.. (2021). QTL controlling fiber quality traits under salt stress in upland cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 134(2). 661–685. 19 indexed citations
12.
Su, Ying, Hong Lv, Wei Zhou, & Cunman Zhang. (2021). Review of the Hydrogen Permeability of the Liner Material of Type IV On-Board Hydrogen Storage Tank. World Electric Vehicle Journal. 12(3). 130–130. 73 indexed citations
13.
Ma, Lingling, Ying Su, Hushuai Nie, et al.. (2020). QTL and genetic analysis controlling fiber quality traits using paternal backcross population in upland cotton. Journal of Cotton Research. 3(1). 8 indexed citations
14.
Su, Ying, et al.. (2020). GhCIPK6a increases salt tolerance in transgenic upland cotton by involving in ROS scavenging and MAPK signaling pathways. BMC Plant Biology. 20(1). 421–421. 46 indexed citations
15.
Cui, Yupeng, Ying Su, Junjuan Wang, et al.. (2020). Genome-Wide Characterization and Analysis of CIPK Gene Family in Two Cultivated Allopolyploid Cotton Species: Sequence Variation, Association with Seed Oil Content, and the Role of GhCIPK6. International Journal of Molecular Sciences. 21(3). 863–863. 24 indexed citations
16.
Su, Ying, Isabelle Sanchez, Anne Ortiz-Julien, et al.. (2019). Nitrogen sources preferences of non-Saccharomyces yeasts to sustain growth and fermentation under winemaking conditions. Food Microbiology. 85. 103287–103287. 77 indexed citations
17.
Su, Ying, et al.. (2018). Fermentative behaviour and competition capacity of cryotolerant Saccharomyces species in different nitrogen conditions. International Journal of Food Microbiology. 291. 111–120. 28 indexed citations
18.
Nie, Hushuai, Yumei Wang, Ying Su, & Jinping Hua. (2018). Exploration of miRNAs and target genes of cytoplasmic male sterility line in cotton during flower bud development. Functional & Integrative Genomics. 18(4). 457–476. 20 indexed citations
19.
Su, Ying, et al.. (2017). Overexpression of GhDof1 improved salt and cold tolerance and seed oil content in Gossypium hirsutum. Journal of Plant Physiology. 218. 222–234. 76 indexed citations
20.
Shang, Lianguang, Yumei Wang, Lingling Ma, et al.. (2016). Genetic analysis of Upland cotton dynamic heterosis for boll number per plant at multiple developmental stages. Scientific Reports. 6(1). 35515–35515. 7 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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