Liyun Wan

1.7k total citations
29 papers, 1.1k citations indexed

About

Liyun Wan is a scholar working on Plant Science, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Liyun Wan has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 9 papers in Molecular Biology and 6 papers in Inorganic Chemistry. Recurrent topics in Liyun Wan's work include Peanut Plant Research Studies (19 papers), Plant Stress Responses and Tolerance (6 papers) and Coconut Research and Applications (6 papers). Liyun Wan is often cited by papers focused on Peanut Plant Research Studies (19 papers), Plant Stress Responses and Tolerance (6 papers) and Coconut Research and Applications (6 papers). Liyun Wan collaborates with scholars based in China, India and Australia. Liyun Wan's co-authors include Rongfeng Huang, Haiwen Zhang, Liying Yan, Yong Lei, Ruidang Quan, Zhijin Zhang, Boshou Liao, Huifang Jiang, Shirong Zhou and Jianfei Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Liyun Wan

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyun Wan China 17 967 420 108 56 30 29 1.1k
Shanlin Yu China 17 870 0.9× 535 1.3× 71 0.7× 27 0.5× 25 0.8× 47 1.1k
Sunil S. Gangurde India 15 654 0.7× 179 0.4× 163 1.5× 87 1.6× 33 1.1× 58 716
Prasad Bajaj India 16 762 0.8× 209 0.5× 23 0.2× 61 1.1× 42 1.4× 38 883
Liangqiong He China 12 496 0.5× 208 0.5× 72 0.7× 74 1.3× 32 1.1× 31 611
Dongying Gao United States 13 764 0.8× 395 0.9× 26 0.2× 68 1.2× 7 0.2× 37 857
Mumtaz Ali Saand Pakistan 10 515 0.5× 240 0.6× 18 0.2× 64 1.1× 17 0.6× 22 656
N. Manivannan India 14 955 1.0× 131 0.3× 117 1.1× 63 1.1× 24 0.8× 163 1.0k
Jia Shen China 11 748 0.8× 249 0.6× 13 0.1× 128 2.3× 17 0.6× 26 905
Susan Y. Fujimoto United States 7 1.0k 1.1× 613 1.5× 11 0.1× 34 0.6× 31 1.0× 10 1.2k

Countries citing papers authored by Liyun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Liyun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Liyun Wan. A scholar is included among the top collaborators of Liyun Wan 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 Liyun Wan. Liyun Wan 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.
Wang, Sijian, et al.. (2023). Genome-wide analysis of R2R3-MYB genes in cultivated peanut (Arachis hypogaea L.): Gene duplications, functional conservation, and diversification. Frontiers in Plant Science. 14. 1102174–1102174. 6 indexed citations
2.
Zhang, Juncheng, et al.. (2022). Identification, expression, and association analysis of calcineurin B-like protein–interacting protein kinase genes in peanut. Frontiers in Genetics. 13. 939255–939255. 1 indexed citations
3.
Wang, Sijian, et al.. (2022). Global Survey, Expressions and Association Analysis of CBLL Genes in Peanut. Frontiers in Genetics. 13. 821163–821163. 1 indexed citations
4.
Yan, Liying, Zhihui Wang, Yanping Kang, et al.. (2021). Genome sequencing and comparative genomic analysis of highly and weakly aggressive strains of Sclerotium rolfsii, the causal agent of peanut stem rot. BMC Genomics. 22(1). 276–276. 32 indexed citations
5.
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7.
Lei, Yong, et al.. (2018). Genetic diversity of atoxigenic Aspergillus flavus isolates from peanut kernels in China.. 3(1). 42–49. 3 indexed citations
8.
Yan, Liying, Yong Lei, Liyun Wan, et al.. (2017). Biocontrol mechanism of Trichoderma koningiopsis against Sclerotinia sclerotiorum in peanut. Zhongguo youliao zuowu xuebao. 39(6). 842. 1 indexed citations
9.
Wan, Liyun, Bei Li, Yong Lei, et al.. (2017). Mutant Transcriptome Sequencing Provides Insights into Pod Development in Peanut (Arachis hypogaea L.). Frontiers in Plant Science. 8. 1900–1900. 25 indexed citations
10.
Chen, Yuning, Xiaoping Ren, Xiaojing Zhou, et al.. (2017). Genetic mapping of yield traits using RIL population derived from Fuchuan Dahuasheng and ICG6375 of peanut (Arachis hypogaea L.). Molecular Breeding. 37(2). 17–17. 35 indexed citations
11.
Nayak, Spurthi N., Gaurav Agarwal, Manish K. Pandey, et al.. (2017). Aspergillus flavus infection triggered immune responses and host-pathogen cross-talks in groundnut during in-vitro seed colonization. Scientific Reports. 7(1). 9659–9659. 38 indexed citations
12.
Wan, Liyun, Bei Li, Manish K. Pandey, et al.. (2016). Transcriptome Analysis of a New Peanut Seed Coat Mutant for the Physiological Regulatory Mechanism Involved in Seed Coat Cracking and Pigmentation. Frontiers in Plant Science. 7. 1491–1491. 39 indexed citations
13.
Wang, Houmiao, Yong Lei, Liyun Wan, et al.. (2016). Comparative transcript profiling of resistant and susceptible peanut post-harvest seeds in response to aflatoxin production by Aspergillus flavus. BMC Plant Biology. 16(1). 54–54. 40 indexed citations
14.
Wang, Zhihui, Ke Cheng, Liyun Wan, et al.. (2015). Genome-wide analysis of the basic leucine zipper (bZIP) transcription factor gene family in six legume genomes. BMC Genomics. 16(1). 1053–1053. 79 indexed citations
15.
Wang, Houmiao, Yong Lei, Liying Yan, et al.. (2015). Deep sequencing analysis of transcriptomes in Aspergillus flavus in response to resveratrol. BMC Microbiology. 15(1). 182–182. 42 indexed citations
16.
Wan, Liyun, Jiaquan Huang, Xiaofeng Dai, et al.. (2014). Identification of ERF genes in peanuts and functional analysis of AhERF008 and AhERF019 in abiotic stress response. Functional & Integrative Genomics. 14(3). 467–477. 50 indexed citations
17.
Zhang, Haiwen, Jianfei Zhang, Ruidang Quan, et al.. (2013). EAR motif mutation of rice OsERF3 alters the regulation of ethylene biosynthesis and drought tolerance. Planta. 237(6). 1443–1451. 85 indexed citations
18.
Wang, Youhua, Liyun Wan, Lixia Zhang, et al.. (2011). An ethylene response factor OsWR1 responsive to drought stress transcriptionally activates wax synthesis related genes and increases wax production in rice. Plant Molecular Biology. 78(3). 275–288. 144 indexed citations
19.
Wan, Liyun, Jianfei Zhang, Haiwen Zhang, et al.. (2011). Transcriptional Activation of OsDERF1 in OsERF3 and OsAP2-39 Negatively Modulates Ethylene Synthesis and Drought Tolerance in Rice. PLoS ONE. 6(9). e25216–e25216. 130 indexed citations
20.
Zhang, Haiwen, Wu Liu, Liyun Wan, et al.. (2010). Functional analyses of ethylene response factor JERF3 with the aim of improving tolerance to drought and osmotic stress in transgenic rice. Transgenic Research. 19(5). 809–818. 80 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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