Yuanyuan Yan

1.6k total citations
25 papers, 679 citations indexed

About

Yuanyuan Yan is a scholar working on Molecular Biology, Plant Science and Spectroscopy. According to data from OpenAlex, Yuanyuan Yan has authored 25 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Spectroscopy. Recurrent topics in Yuanyuan Yan's work include Molecular Sensors and Ion Detection (8 papers), Luminescence and Fluorescent Materials (7 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Yuanyuan Yan is often cited by papers focused on Molecular Sensors and Ion Detection (8 papers), Luminescence and Fluorescent Materials (7 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Yuanyuan Yan collaborates with scholars based in China, Singapore and Indonesia. Yuanyuan Yan's co-authors include Hao Yu, Lisha Shen, Hui Xu, Chang Liu, Lu Liu, Zhen Tao, Shengjie Bao, Zhonghui Thong, Ying Chen and Xiaoyan Zhi and has published in prestigious journals such as The Plant Journal, Developmental Cell and Carbohydrate Polymers.

In The Last Decade

Yuanyuan Yan

25 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanyuan Yan China 12 416 408 166 127 35 25 679
Ling Ma China 16 441 1.1× 352 0.9× 72 0.4× 43 0.3× 14 0.4× 29 807
Asuka Watanabe Japan 10 806 1.9× 370 0.9× 33 0.2× 28 0.2× 7 0.2× 15 1.0k
Rémy Gibrat France 19 619 1.5× 428 1.0× 62 0.4× 10 0.1× 46 1.3× 32 950
Zuzana Novotná Czechia 16 454 1.1× 409 1.0× 17 0.1× 41 0.3× 109 3.1× 37 750
Lina Jiang China 11 155 0.4× 186 0.5× 41 0.2× 80 0.6× 9 0.3× 39 522
Marco H. Hefti Netherlands 6 96 0.2× 390 1.0× 18 0.1× 54 0.4× 32 0.9× 10 539
Jorge M. Vázquez‐Ramos Mexico 19 630 1.5× 480 1.2× 51 0.3× 69 0.5× 2 0.1× 59 836
Kyung Choi South Korea 13 213 0.5× 317 0.8× 37 0.2× 71 0.6× 5 0.1× 71 603
Ranfeng Sun China 17 252 0.6× 196 0.5× 32 0.2× 33 0.3× 11 0.3× 33 663
Adela Halmágyi Romania 15 470 1.1× 545 1.3× 25 0.2× 34 0.3× 2 0.1× 51 774

Countries citing papers authored by Yuanyuan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuanyuan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanyuan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyuan Yan. A scholar is included among the top collaborators of Yuanyuan Yan 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 Yuanyuan Yan. Yuanyuan Yan 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.
Yin, Xiaoyan, Yao Lu, Zichun Zhou, et al.. (2025). CT-based radiomics-deep learning model predicts occult lymph node metastasis in early-stage lung adenocarcinoma patients: A multicenter study. Chinese Journal of Cancer Research. 37(1). 12–27. 1 indexed citations
2.
Jing, Yanping, et al.. (2025). The molecular basis for cotton seedling response to salt stress based on genome-wide association study and transcriptome analysis. Theoretical and Applied Genetics. 138(11). 287–287. 1 indexed citations
3.
Wang, Xianli, Zening Wang, Cheng Wei, et al.. (2024). Multi-Omics Profiles of Small Intestine Organoids in Reaction to Breast Milk and Different Infant Formula Preparations. Nutrients. 16(17). 2951–2951. 1 indexed citations
4.
Yan, Yuanyuan, Zhu Zhu, Fengwei Xie, et al.. (2024). Natural starches suitable for 3D printing: Rhizome and seed starch from Millettia speciosa champ, a non-conventional source. Carbohydrate Polymers. 351. 123104–123104. 3 indexed citations
5.
Yan, Yuanyuan, et al.. (2024). Phylogenetic and Comparative Genomics Study of Cephalopina titillator Based on Mitochondrial Genomes. Insects. 16(1). 6–6. 1 indexed citations
6.
Wang, Xianli, Zening Wang, Wei Cheng, et al.. (2024). Transcriptome and metabolome analyses reveal the effects of formula and breast milk on the growth and development of human small intestinal organoids. Food Research International. 195. 114999–114999. 3 indexed citations
7.
Chen, Liting, Yuanyuan Yan, Huifeng Ke, et al.. (2022). SEP-like genes of Gossypium hirsutum promote flowering via targeting different loci in a concentration-dependent manner. Frontiers in Plant Science. 13. 990221–990221. 5 indexed citations
8.
Ma, Limei & Yuanyuan Yan. (2022). GhSOC1s Evolve to Respond Differently to the Environmental Cues and Promote Flowering in Partially Independent Ways. Frontiers in Plant Science. 13. 882946–882946. 10 indexed citations
9.
Liu, Zhengwen, Xingfen Wang, Zhengwen Sun, et al.. (2021). Evolution, expression and functional analysis of cultivated allotetraploid cotton DIR genes. BMC Plant Biology. 21(1). 89–89. 22 indexed citations
10.
11.
Meng, Chengsheng, Yuanyuan Yan, Zhengwen Liu, et al.. (2018). Systematic Analysis of Cotton Non-specific Lipid Transfer Protein Family Revealed a Special Group That Is Involved in Fiber Elongation. Frontiers in Plant Science. 9. 1285–1285. 19 indexed citations
12.
Chen, Bin, Jinpeng Wang, Yan Zhang, et al.. (2018). A newly identified cluster of glutathione S‐transferase genes provides Verticillium wilt resistance in cotton. The Plant Journal. 98(2). 213–227. 50 indexed citations
13.
Yan, Yuanyuan, Lisha Shen, Ying Chen, et al.. (2014). A MYB-Domain Protein EFM Mediates Flowering Responses to Environmental Cues in Arabidopsis. Developmental Cell. 30(4). 437–448. 125 indexed citations
14.
Zhang, Yanhua, et al.. (2014). ‘Naked-eye’ quinoline-based ‘reactive’ sensor for recognition of Hg2+ ion in aqueous solution. Bioorganic & Medicinal Chemistry Letters. 24(23). 5373–5376. 9 indexed citations
15.
Yan, Yuanyuan, Guodong Ding, & Hui Xu. (2014). A selective and sensitive “naked-eye” rhodamine-based “turn-on” sensor for recognition of Hg2+ ion in aqueous solution. Journal of Industrial and Engineering Chemistry. 25. 73–77. 11 indexed citations
16.
Yan, Yuanyuan, Yanhua Zhang, & Hui Xu. (2013). A Selective “Turn‐On” Fluorescent Probe for Recognition of Mercury(II) Ions in Aqueous Solution Based on a Desulfurization Reaction. ChemPlusChem. 78(7). 628–631. 34 indexed citations
17.
Guo, Yong, Yuanyuan Yan, Xiaoyan Zhi, Chun Yang, & Hui Xu. (2013). Phenanthroimidazole-based thiobenzamide as an effective sensor for highly selective detection of mercury(II). Bioorganic & Medicinal Chemistry Letters. 23(11). 3382–3384. 21 indexed citations
18.
Tao, Zhen, Lisha Shen, Chang Liu, et al.. (2012). Genome‐wide identification of SOC1 and SVP targets during the floral transition in Arabidopsis. The Plant Journal. 70(4). 549–561. 153 indexed citations
19.
Yan, Yuanyuan, et al.. (2012). A Selective and Sensitive “Turn‐on” Fluorescent Chemosensor for Recognition of Hg2+ Ions in Water. Chemistry - A European Journal. 18(36). 11188–11191. 46 indexed citations
20.
Yan, Yuanyuan, et al.. (2012). Fluorescence ‘on-off-on’ chemosensor for sequential recognition of Fe3+ and Hg2+ in water based on tetraphenylethylene motif. Bioorganic & Medicinal Chemistry. 21(2). 508–513. 57 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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