Yan Lv

2.0k total citations
36 papers, 1.4k citations indexed

About

Yan Lv is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Yan Lv has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 22 papers in Molecular Biology and 6 papers in Biochemistry. Recurrent topics in Yan Lv's work include Plant Stress Responses and Tolerance (14 papers), Photosynthetic Processes and Mechanisms (12 papers) and Plant Molecular Biology Research (8 papers). Yan Lv is often cited by papers focused on Plant Stress Responses and Tolerance (14 papers), Photosynthetic Processes and Mechanisms (12 papers) and Plant Molecular Biology Research (8 papers). Yan Lv collaborates with scholars based in China, France and Australia. Yan Lv's co-authors include Lizhong Xiong, Xianghua Li, Xiling Zou, Ali Raza, Yong Cheng, Zilong Guo, Wei Su, Muhammad Azhar Hussain, Sundas Saher Mehmood and Dake Zhao and has published in prestigious journals such as The Plant Cell, Analytical Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Yan Lv

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Lv China 18 1.2k 585 143 74 61 36 1.4k
Guangyuan Lu China 20 1.0k 0.8× 462 0.8× 81 0.6× 42 0.6× 122 2.0× 54 1.3k
Hongwu Bian China 29 1.9k 1.5× 1.2k 2.0× 103 0.7× 26 0.4× 44 0.7× 69 2.2k
Yong Cheng China 20 963 0.8× 429 0.7× 34 0.2× 63 0.9× 125 2.0× 37 1.1k
Qinghe Cao China 21 719 0.6× 455 0.8× 80 0.6× 28 0.4× 21 0.3× 58 1.0k
Rongzhan Guan China 19 1.1k 0.9× 874 1.5× 129 0.9× 32 0.4× 260 4.3× 56 1.5k
Jun Ni China 21 1.0k 0.8× 561 1.0× 37 0.3× 27 0.4× 29 0.5× 35 1.2k
Qari Muhammad Imran South Korea 24 1.4k 1.2× 618 1.1× 65 0.5× 31 0.4× 10 0.2× 40 1.7k
Juan C. Cuevas Spain 12 1.7k 1.4× 1.3k 2.2× 27 0.2× 46 0.6× 52 0.9× 14 2.0k
Chonghuai Liu China 20 1.1k 0.9× 675 1.2× 99 0.7× 71 1.0× 16 0.3× 67 1.4k
Sheng Zheng China 16 835 0.7× 451 0.8× 25 0.2× 55 0.7× 15 0.2× 47 1.1k

Countries citing papers authored by Yan Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Lv. A scholar is included among the top collaborators of Yan Lv 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 Yan Lv. Yan Lv 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.
Yang, Tianrui, et al.. (2025). Prenatal ultrasound diagnosis and prognosis assessment of fetal neck masses. Frontiers in Pediatrics. 13. 1516356–1516356.
2.
Lv, Yan, et al.. (2025). Maternal PlGF and sFlt-1 are Associated with Low Birth Weight and/or Small-for-Gestational Age Neonates in Pregnancy with or without Preeclampsia. American Journal of Perinatology Reports. 15(1). e36–e42. 1 indexed citations
3.
Hussain, Muhammad Azhar, Yong Huang, Sundas Saher Mehmood, et al.. (2025). Integrative analyses reveal Bna‐miR397a–BnaLAC2 as a potential modulator of low‐temperature adaptability in Brassica napus L.. Plant Biotechnology Journal. 23(6). 1968–1987. 3 indexed citations
4.
Zhang, Tianyu, Lu Dai, Yi Zeng, Yan Lv, & Xingbo Shi. (2025). A simple post-processing approach induced Interface recombination to construct hollow cubic-shape Prussian blue analogs for biosensing and degradation of aflatoxins B1. Food Chemistry. 479. 143807–143807. 1 indexed citations
5.
Li, Mengmeng, Na Hao, Yulin Jiang, et al.. (2024). Contribution of uniparental disomy to fetal growth restriction: a whole-exome sequencing series in a prenatal setting. Scientific Reports. 14(1). 238–238. 1 indexed citations
6.
Raza, Ali, Sunil S. Gangurde, Karansher Singh Sandhu, & Yan Lv. (2024). Omics-assisted crop improvement under abiotic stress conditions. Plant Stress. 14. 100626–100626. 8 indexed citations
7.
Zhang, Miao, et al.. (2024). An integrated three-signal biosensor based on phage multifunctional probe for simultaneous and ultrasensitive detection of live /dead Listeria monocytogenes. Sensors and Actuators B Chemical. 423. 136709–136709. 11 indexed citations
8.
Hu, Dan, Yan Lv, Yu Zhang, et al.. (2024). The OsSRO1c-OsDREB2B complex undergoes protein phase transition to enhance cold tolerance in rice. Molecular Plant. 17(10). 1520–1538. 15 indexed citations
9.
Luo, Dan, Ali Raza, Yong Cheng, Xiling Zou, & Yan Lv. (2023). Cloning and Functional Characterization of Cold-Inducible MYB-like 17 Transcription Factor in Rapeseed (Brassica napus L.). International Journal of Molecular Sciences. 24(11). 9514–9514. 8 indexed citations
10.
Raza, Ali, Wei Su, Dan Luo, et al.. (2022). Mechanistic Insights Into Trehalose-Mediated Cold Stress Tolerance in Rapeseed (Brassica napus L.) Seedlings. Frontiers in Plant Science. 13. 857980–857980. 43 indexed citations
11.
Yan, Lei, Liu Zeng, Ali Raza, et al.. (2022). Inositol Improves Cold Tolerance Through Inhibiting CBL1 and Increasing Ca2+ Influx in Rapeseed (Brassica napus L.). Frontiers in Plant Science. 13. 775692–775692. 21 indexed citations
13.
Mehmood, Sundas Saher, Guangyuan Lu, Dan Luo, et al.. (2021). Integrated analysis of transcriptomics and proteomics provides insights into the molecular regulation of cold response in Brassica napus. Environmental and Experimental Botany. 187. 104480–104480. 40 indexed citations
14.
Yang, Zeyu, Shugang Hui, Yan Lv, et al.. (2021). miR395-regulated sulfate metabolism exploits pathogen sensitivity to sulfate to boost immunity in rice. Molecular Plant. 15(4). 671–688. 52 indexed citations
15.
Su, Wei, Ali Raza, Liu Zeng, et al.. (2021). Genome-wide analysis and expression patterns of lipid phospholipid phospholipase gene family in Brassica napus L.. BMC Genomics. 22(1). 548–548. 16 indexed citations
17.
Huang, Yong, Muhammad Azhar Hussain, Dan Luo, et al.. (2020). A Brassica napus Reductase Gene Dissected by Associative Transcriptomics Enhances Plant Adaption to Freezing Stress. Frontiers in Plant Science. 11. 971–971. 13 indexed citations
18.
Li, Xiaokai, Zilong Guo, Yan Lv, et al.. (2017). Genetic control of the root system in rice under normal and drought stress conditions by genome-wide association study. PLoS Genetics. 13(7). e1006889–e1006889. 115 indexed citations
19.
Yuan, Jian‐Ping, Tao Ding, Yan Lv, et al.. (2017). Neuroprotective Effect of Fagopyrum dibotrys Extract against Alzheimer’s Disease. Evidence-based Complementary and Alternative Medicine. 2017(1). 3294586–3294586. 10 indexed citations
20.
Tang, Ning, Siqi Ma, Wei Zong, et al.. (2016). MODD Mediates Deactivation and Degradation of OsbZIP46 to Negatively Regulate ABA Signaling and Drought Resistance in Rice. The Plant Cell. 28(9). 2161–2177. 129 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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