Junyu Luo

757 total citations
37 papers, 503 citations indexed

About

Junyu Luo is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Junyu Luo has authored 37 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 28 papers in Insect Science and 13 papers in Plant Science. Recurrent topics in Junyu Luo's work include Insect Resistance and Genetics (25 papers), Insect and Pesticide Research (14 papers) and Insect-Plant Interactions and Control (12 papers). Junyu Luo is often cited by papers focused on Insect Resistance and Genetics (25 papers), Insect and Pesticide Research (14 papers) and Insect-Plant Interactions and Control (12 papers). Junyu Luo collaborates with scholars based in China, Laos and Spain. Junyu Luo's co-authors include Jinjie Cui, Shuai Zhang, Chunyi Wang, Limin Lv, Xiangzhen Zhu, Yan Ma, Xueke Gao, Daojie Wang, Shuanglin Dong and Zhaoqun Li and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Junyu Luo

33 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyu Luo China 13 328 253 174 143 127 37 503
Aline Sartori Guidolin Brazil 12 430 1.3× 200 0.8× 184 1.1× 143 1.0× 113 0.9× 25 524
Bi‐Yue Ding China 12 318 1.0× 336 1.3× 173 1.0× 94 0.7× 70 0.6× 25 498
Zhiwei Kang China 12 371 1.1× 165 0.7× 200 1.1× 90 0.6× 85 0.7× 38 535
Honglin Feng United States 12 358 1.1× 176 0.7× 159 0.9× 100 0.7× 88 0.7× 25 486
Caroline McCart United Kingdom 5 232 0.7× 312 1.2× 157 0.9× 56 0.4× 66 0.5× 5 445
Huahua Sun China 12 316 1.0× 267 1.1× 86 0.5× 114 0.8× 76 0.6× 25 436
Haibin Yuan China 13 237 0.7× 135 0.5× 184 1.1× 68 0.5× 59 0.5× 27 383
Emilia Włóka Poland 13 376 1.1× 101 0.4× 222 1.3× 52 0.4× 88 0.7× 20 440
Sophie Tarès France 11 213 0.6× 159 0.6× 163 0.9× 36 0.3× 84 0.7× 16 397
Oxana Skoková Habuštová Czechia 12 228 0.7× 188 0.7× 192 1.1× 41 0.3× 33 0.3× 32 315

Countries citing papers authored by Junyu Luo

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Junyu Luo. A scholar is included among the top collaborators of Junyu Luo 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 Junyu Luo. Junyu Luo 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, Li, Kaixin Zhang, Xueke Gao, et al.. (2024). Hormetic dose response induced by sublethal-dose sulfoxaflor leads to reproductive stimulation of Aphis gossypii. Pesticide Biochemistry and Physiology. 204. 106061–106061. 7 indexed citations
2.
Zhu, Xiangzhen, Li Wang, Lizhen Chen, et al.. (2024). AgoArmet and AgoC002: key effector proteins in cotton aphids host adaptation. Frontiers in Plant Science. 15. 1500834–1500834. 1 indexed citations
3.
Lü, Hui, Chao Ma, Xueke Gao, et al.. (2024). Integrated Omics Analysis Reveals Key Pathways in Cotton Defense against Mirid Bug (Adelphocoris suturalis Jakovlev) Feeding. Insects. 15(4). 254–254. 1 indexed citations
4.
Luo, Junyu, et al.. (2024). Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. PubMed. 2024(Volume 1 Long Papers). 3644–3656. 7 indexed citations
5.
Chen, Lulu, Kaixin Zhang, Dongyang Li, et al.. (2024). Effects of developmental stages, sex difference, and diet types of the host marmalade hoverfly (Episyrphus balteatus) on symbiotic bacteria. Frontiers in Microbiology. 15. 1433909–1433909.
6.
Ji, Jichao, Yue Gao, Kaixin Zhang, et al.. (2024). Chromosome-level genome assembly of marmalade hoverfly Episyrphus balteatus (Diptera: Syrphidae). Scientific Data. 11(1). 844–844.
7.
Li, Yarong, Xueke Gao, Junyu Luo, et al.. (2023). Response of the Propylea japonica Microbiota to Treatment with Cry1B Protein. Genes. 14(11). 2008–2008.
8.
Zhu, Xiangzhen, Li Wang, Rui Zhang, et al.. (2022). Impact assessment of genetically modified herbicide-tolerant cotton on arthropod communities. Journal of Cotton Research. 5(1). 1 indexed citations
9.
Li, Yarong, Xiangzhen Zhu, Li Wang, et al.. (2022). Transgenic cotton expressing Cry1B protein has no adverse effect on predatory insect Propylea Japonica. Ecotoxicology and Environmental Safety. 245. 114088–114088. 1 indexed citations
10.
11.
Zhang, Meng, Junyu Luo, Jichao Ji, et al.. (2021). Transgenic insect-resistant Bt cotton expressing Cry1Ac/1Ab does not harm the insect predator Geocoris pallidipennis. Ecotoxicology and Environmental Safety. 230. 113129–113129. 6 indexed citations
12.
Niu, Lin, Fang Liu, Shuai Zhang, et al.. (2020). Transgenic insect-resistant Bt cotton expressing Cry1Ac/CpTI does not affect the mirid bug Apolygus lucorum. Environmental Pollution. 264. 114762–114762. 9 indexed citations
13.
Liu, Fang, Junyu Luo, Xiangzhen Zhu, et al.. (2020). Transgenic Cry1Ac/CpTI cotton assessment finds no detrimental effects on the insect predator Chrysoperla sinica. Ecotoxicology and Environmental Safety. 208. 111680–111680. 4 indexed citations
14.
Lü, Limin, Junyu Luo, Shuai Zhang, et al.. (2018). Efficiency of cotton bollworm (Helicoverpa armigera Hübner) control of different Bt cotton varieties in North China. Journal of Cotton Research. 1(1). 9 indexed citations
15.
Luo, Junyu, Shuai Zhang, Xiangzhen Zhu, et al.. (2018). Effect of NaCl-stressed Bacillus thuringiensis (Bt) cotton on the feeding behaviors and nutritional parameters of Helicoverpa armigera. PLoS ONE. 13(9). e0198570–e0198570. 3 indexed citations
16.
Wang, Li, Shuai Zhang, Junyu Luo, et al.. (2017). Host Choice of Different Host Biotypes of Cotton Aphid and Preliminary Analysis of the Mechanism. Mianhua xuebao. 29(3). 292–300. 4 indexed citations
17.
Luo, Junyu, Shuai Zhang, Jun Peng, et al.. (2017). Effects of Soil Salinity on the Expression of Bt Toxin (Cry1Ac) and the Control Efficiency of Helicoverpa armigera in Field-Grown Transgenic Bt Cotton. PLoS ONE. 12(1). e0170379–e0170379. 23 indexed citations
18.
Zhao, Yao, Shuai Zhang, Junyu Luo, et al.. (2016). Bt proteins Cry1Ah and Cry2Ab do not affect cotton aphid Aphis gossypii and ladybeetle Propylea japonica. Scientific Reports. 6(1). 20368–20368. 23 indexed citations
19.
Li, Zhaoqun, Shuai Zhang, Yan Ma, et al.. (2013). First Transcriptome and Digital Gene Expression Analysis in Neuroptera with an Emphasis on Chemoreception Genes in Chrysopa pallens (Rambur). PLoS ONE. 8(6). e67151–e67151. 27 indexed citations
20.
Zhang, Shuai, Jinjie Cui, Daojie Wang, et al.. (2012). Identification and Binding Characterization of Three Odorant Binding Proteins and One Chemosensory Protein from Apolygus lucorum (Meyer-Dur). Journal of Chemical Ecology. 38(9). 1163–1170. 43 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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