Honghao Lv

3.2k total citations
131 papers, 2.1k citations indexed

About

Honghao Lv is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Honghao Lv has authored 131 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Plant Science, 73 papers in Molecular Biology and 14 papers in Cell Biology. Recurrent topics in Honghao Lv's work include Plant Disease Resistance and Genetics (42 papers), Plant Molecular Biology Research (27 papers) and Photosynthetic Processes and Mechanisms (26 papers). Honghao Lv is often cited by papers focused on Plant Disease Resistance and Genetics (42 papers), Plant Molecular Biology Research (27 papers) and Photosynthetic Processes and Mechanisms (26 papers). Honghao Lv collaborates with scholars based in China, Russia and Netherlands. Honghao Lv's co-authors include Limei Yang, Yangyong Zhang, Zhiyuan Fang, Mu Zhuang, Yumei Liu, Zhansheng Li, Yong Wang, Fengqing Han, Jialei Ji and Hailong Yu and has published in prestigious journals such as Nature Communications, Nature Genetics and Nano Letters.

In The Last Decade

Honghao Lv

126 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honghao Lv China 25 1.7k 1.1k 175 166 112 131 2.1k
Mu Zhuang China 25 1.7k 1.0× 1.3k 1.2× 246 1.4× 111 0.7× 115 1.0× 153 2.2k
Wolfgang Friedt Germany 30 1.9k 1.1× 938 0.8× 334 1.9× 179 1.1× 48 0.4× 106 2.3k
Hongbo Liu China 24 2.5k 1.5× 1.2k 1.1× 180 1.0× 155 0.9× 45 0.4× 44 2.9k
Ill‐Sup Nou South Korea 20 1.1k 0.6× 766 0.7× 110 0.6× 84 0.5× 49 0.4× 78 1.4k
Chunxian Chen United States 20 1.1k 0.7× 622 0.6× 124 0.7× 168 1.0× 175 1.6× 75 1.4k
Nicole K. Clay United States 17 2.1k 1.3× 1.5k 1.3× 84 0.5× 113 0.7× 52 0.5× 19 2.6k
Yoonkang Hur South Korea 28 1.5k 0.9× 1.3k 1.2× 171 1.0× 34 0.2× 166 1.5× 96 2.1k
Fang Yan China 21 998 0.6× 889 0.8× 127 0.7× 67 0.4× 40 0.4× 37 1.4k
Su Ryun Choi South Korea 25 1.5k 0.9× 895 0.8× 270 1.5× 45 0.3× 64 0.6× 62 1.7k
Zhibing Lai United States 21 3.1k 1.9× 2.0k 1.8× 138 0.8× 220 1.3× 112 1.0× 28 3.7k

Countries citing papers authored by Honghao Lv

Since Specialization
Citations

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

Fields of papers citing papers by Honghao Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honghao Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Honghao Lv. A scholar is included among the top collaborators of Honghao 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 Honghao Lv. Honghao 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.
Sun, Hongyu, Caihong Wang, Limei Yang, et al.. (2025). Genome-wide identification of the ECERIFERUM (CER) gene family in cabbage and critical role of BoCER4.1 in wax biosynthesis. Plant Physiology and Biochemistry. 222. 109718–109718. 2 indexed citations
2.
Wang, Yafei, Qiang Shi, Junliang Lin, et al.. (2025). Hormone Metabolism and Substance Accumulation in Cucumber Plants: Downy Mildew Infection and Potassium Stress. Agriculture. 15(9). 994–994. 1 indexed citations
3.
Liu, Xing, Ailing Zhou, Jialei Ji, et al.. (2025). Transcriptome Analysis of Cabbage Near-Isogenic Lines Reveals the Involvement of the Plant Defensin Gene PDF1.2 in Fusarium Wilt Resistance. International Journal of Molecular Sciences. 26(8). 3770–3770. 1 indexed citations
4.
Li, Yingjie, Jialei Ji, Yong Wang, et al.. (2025). Generation of novel bpm6 and dmr6 mutants with broad‐spectrum resistance using a modified CRISPR/Cas9 system in Brassica oleracea. Journal of Integrative Plant Biology. 67(5). 1214–1216. 5 indexed citations
5.
Kong, Congcong, Siping Deng, Tong Zhao, et al.. (2025). Resistance screening of cabbage to black rot and inheritance pattern analysis. Scientia Horticulturae. 345. 114129–114129. 1 indexed citations
6.
Yang, Limei, Mu Zhuang, Honghao Lv, et al.. (2024). Plant non-coding RNAs: The new frontier for the regulation of plant development and adaptation to stress. Plant Physiology and Biochemistry. 208. 108435–108435. 12 indexed citations
7.
Ji, Jialei, Henan Su, Xiaoli Zhang, et al.. (2023). Genetic analysis and mapping of QTLs for isolated microspore embryogenesis in cabbage. Scientia Horticulturae. 313. 111897–111897. 5 indexed citations
8.
Liu, Yuxiang, Min Wei, Yumei Liu, et al.. (2023). Functional characterization of BoGL5 by an efficient CRISPR/Cas9 genome editing system in broccoli. Scientia Horticulturae. 319. 112136–112136. 6 indexed citations
9.
Wang, Peng, Limei Yang, Yangyong Zhang, et al.. (2023). Glucosinolate Biosynthetic Genes of Cabbage: Genome-Wide Identification, Evolution, and Expression Analysis. Genes. 14(2). 476–476. 4 indexed citations
10.
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12.
Han, Fengqing, Xiaoli Zhang, Xing Liu, et al.. (2023). A natural mutation in the promoter of Ms-cd1 causes dominant male sterility in Brassica oleracea. Nature Communications. 14(1). 6212–6212. 14 indexed citations
13.
Chen, Li, Wenjing Ren, Bin Zhang, et al.. (2023). Comparative Transcriptome Analysis Reveals a Potential Regulatory Network for Ogura Cytoplasmic Male Sterility in Cabbage (Brassica oleracea L.). International Journal of Molecular Sciences. 24(7). 6703–6703. 3 indexed citations
14.
15.
Zhang, Kang, Jian Wu, Jianli Liang, et al.. (2022). A cluster of transcripts identifies a transition stage initiating leafy head growth in heading morphotypes of Brassica. The Plant Journal. 110(3). 688–706. 13 indexed citations
16.
Cheng, Shanhan, Honghao Lv, Jie Zhu, et al.. (2021). Analysis of Glucosinolate Content, Composition and Expression Level of Biosynthesis Pathway Genes in Different Chinese Kale Varieties. Horticulturae. 7(10). 398–398. 2 indexed citations
17.
Huang, Jingjing, Jifeng Sun, Suxia Yuan, et al.. (2020). Mapping of QTLs detected in a broccoli double diploid population for planting density traits. Scientia Horticulturae. 277. 109835–109835. 3 indexed citations
18.
Li, Zhansheng, Shuning Zheng, Yumei Liu, et al.. (2020). Characterization of glucosinolates in 80 broccoli genotypes and different organs using UHPLC-Triple-TOF-MS method. Food Chemistry. 334. 127519–127519. 96 indexed citations
19.
Li, Zhansheng, Yumei Liu, Zhiyuan Fang, et al.. (2019). The evolution of genetic diversity of broccoli cultivars in China since 1980. Scientia Horticulturae. 250. 69–80. 22 indexed citations
20.
Liu, Ying, Honghao Lv, Xing Han, et al.. (2007). Identification, inheritance and QTL mapping of root traits related to tolerance to rhizo-spheric stresses in soybean (G. max (L.) Merr.). Frontiers of Agriculture in China. 1(2). 119–128. 20 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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