Yang Lv

743 total citations
11 papers, 175 citations indexed

About

Yang Lv is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Yang Lv has authored 11 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Yang Lv's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Plant Stress Responses and Tolerance (3 papers) and Rice Cultivation and Yield Improvement (3 papers). Yang Lv is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Plant Stress Responses and Tolerance (3 papers) and Rice Cultivation and Yield Improvement (3 papers). Yang Lv collaborates with scholars based in China, Singapore and Bangladesh. Yang Lv's co-authors include Longbiao Guo, Guang Chen, Deyong Ren, Qian Qian, Zhenyu Gao, Haitao Hu, Yongtao Cui, Jiang Hu, Guoyou Ye and Yueying Wang and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Cell Reports.

In The Last Decade

Yang Lv

10 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang Lv China	7	153	62	57	4	4	11	175
Chunhao Dong China	7	205 1.3×	109 1.8×	47 0.8×	3 0.8×	2 0.5×	12	223
Yongchao Hao China	7	173 1.1×	38 0.6×	58 1.0×	3 0.8×	5 1.3×	12	193
Yun‐Shil Gho South Korea	11	239 1.6×	141 2.3×	30 0.5×	2 0.5×	3 0.8×	19	278
Lixin Luo China	9	274 1.8×	69 1.1×	100 1.8×	2 0.5×	4 1.0×	15	295
Reece Tollenaere Australia	5	177 1.2×	83 1.3×	60 1.1×	2 0.5×	2 0.5×	5	204
Yuekun Ren China	5	282 1.8×	152 2.5×	65 1.1×	3 0.8×	7 1.8×	6	298
L.A. Shearer United States	5	132 0.9×	99 1.6×	40 0.7×	2 0.5×	2 0.5×	5	161
Xiaoming Zheng China	5	79 0.5×	58 0.9×	46 0.8×	4 1.0×	3 0.8×	9	116
Wenping Gong China	8	183 1.2×	26 0.4×	21 0.4×	3 0.8×	3 0.8×	14	190
Mark Quinton-Tulloch United Kingdom	5	140 0.9×	59 1.0×	67 1.2×	2 0.5×	4 1.0×	7	179

Countries citing papers authored by Yang Lv

Since Specialization

Citations

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

Fields of papers citing papers by Yang Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Lv

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

All Works

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11 of 11 papers shown

Wang, Kang, et al.. (2024). Beeswax waste improves the mycelial growth, fruiting body yield, and quality of oyster mushrooms (Pleurotus ostreatus). PeerJ. 12. e18726–e18726.

Zeng, Ting, Ziwen Liu, Zhaoxing Li, et al.. (2023). Mechanistic insights into transposon cleavage and integration by TnsB of ShCAST system. Cell Reports. 42(7). 112698–112698. 6 indexed citations

Ma, Jie, Wei Hua, Xiaoman Yu, et al.. (2022). Compared analysis with a high-quality genome of weedy rice reveals the evolutionary game of de-domestication. Frontiers in Plant Science. 13. 1065449–1065449. 3 indexed citations

Lv, Yang, Yueying Wang, Qiang Zhang, et al.. (2022). WAL3 encoding a PLS-type PPR protein regulates chloroplast development in rice. Plant Science. 323. 111382–111382. 14 indexed citations

Lv, Yang, Lianguang Shang, Guoyou Ye, et al.. (2021). Transcriptomic Analysis of Short-Term Salt-Stress Response in Mega Hybrid Rice Seedlings. Agronomy. 11(7). 1328–1328. 10 indexed citations

Lv, Yang, Jie Ma, Yueying Wang, et al.. (2021). Loci and Natural Alleles for Low-Nitrogen-Induced Growth Response Revealed by the Genome-Wide Association Study Analysis in Rice (Oryza sativa L.). Frontiers in Plant Science. 12. 770736–770736. 8 indexed citations

Cui, Yongtao, Yang Lv, Sai Wang, et al.. (2020). Genome Sequence of Micromonospora terminaliae TMS7^T, a New Endophytic Actinobacterium Isolated from the Medicinal Plant Terminalia mucronata. Molecular Plant-Microbe Interactions. 33(5). 721–723. 5 indexed citations

Liu, Chaolei, Yu Zhang, Yongtao Cui, et al.. (2019). A 3-bp deletion of WLS5 gene leads to weak growth and early leaf senescence in rice. Rice. 12(1). 26–26. 10 indexed citations

Lv, Yang, Yueying Wang, Haitao Hu, et al.. (2019). Genome-Wide Association Analysis and Allelic Mining of Grain Shape-Related Traits in Rice. Rice Science. 26(6). 384–392. 14 indexed citations

10.

Zhang, Yu, Yang Lv, Chunyan Zhao, et al.. (2019). QTL analysis for rice salinity tolerance and fine mapping of a candidate locus qSL7 for shoot length under salt stress. Plant Growth Regulation. 90(2). 307–319. 37 indexed citations

11.

Lv, Yang, et al.. (2018). Sensing of Abiotic Stress and Ionic Stress Responses in Plants. International Journal of Molecular Sciences. 19(11). 3298–3298. 68 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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