Guijun Wan

551 total citations
34 papers, 371 citations indexed

About

Guijun Wan is a scholar working on Physiology, Biophysics and Plant Science. According to data from OpenAlex, Guijun Wan has authored 34 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 13 papers in Biophysics and 12 papers in Plant Science. Recurrent topics in Guijun Wan's work include Electromagnetic Fields and Biological Effects (13 papers), Magnetic and Electromagnetic Effects (13 papers) and Neurobiology and Insect Physiology Research (6 papers). Guijun Wan is often cited by papers focused on Electromagnetic Fields and Biological Effects (13 papers), Magnetic and Electromagnetic Effects (13 papers) and Neurobiology and Insect Physiology Research (6 papers). Guijun Wan collaborates with scholars based in China, United States and United Kingdom. Guijun Wan's co-authors include Fajun Chen, Weidong Pan, Christine Merlin, Gregory A. Sword, Jingjing Xu, Xiaorong Tao, Guo‐Qing Li, Wenjing Wang, Megha N. Parajulee and Gao Hu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Guijun Wan

29 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guijun Wan China 12 135 127 105 92 85 34 371
Martin Vácha Czechia 13 263 1.9× 38 0.3× 143 1.4× 37 0.4× 121 1.4× 19 400
Danielle R. Metterville United States 4 22 0.2× 132 1.0× 19 0.2× 27 0.3× 187 2.2× 6 380
Lisa Soyeon Baik United States 9 22 0.2× 99 0.8× 9 0.1× 63 0.7× 251 3.0× 11 350
Guenther Fleissner Germany 5 64 0.5× 26 0.2× 44 0.4× 8 0.1× 83 1.0× 5 218
Günther Fleiṡsner Germany 7 88 0.7× 17 0.1× 53 0.5× 5 0.1× 93 1.1× 11 299
Celia Napier Hansen United Kingdom 6 23 0.2× 66 0.5× 10 0.1× 14 0.2× 97 1.1× 8 176
Evandro Gama de Oliveira Brazil 8 22 0.2× 39 0.3× 20 0.2× 47 0.5× 28 0.3× 11 327
Dennis J. Webb France 8 8 0.1× 45 0.4× 58 0.6× 7 0.1× 147 1.7× 11 440
Filip Vasilev Italy 12 13 0.1× 38 0.3× 51 0.5× 12 0.1× 80 0.9× 15 337
Brigitte Buchen Germany 14 10 0.1× 338 2.7× 167 1.6× 6 0.1× 23 0.3× 23 677

Countries citing papers authored by Guijun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Guijun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guijun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Guijun Wan. A scholar is included among the top collaborators of Guijun 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 Guijun Wan. Guijun 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.
2.
Zheng, Xuerong, Xin Qian, Mengnan Liu, et al.. (2025). Glycyrrhiza plastid paternal inheritance and a new DNA barcode provide new strategies for molecular identification of three medicinal licorice hybrid complexes. BMC Plant Biology. 25(1). 885–885. 1 indexed citations
3.
Wen, Zhengyong, Boya Gao, James J. Foster, et al.. (2025). Skyglow-Induced Luminance Gradients Influence Orientation in a Migratory Moth. Insects. 16(12). 1252–1252.
4.
Zhang, Yating, Xian Luo, Kun Lei, et al.. (2024). Construction of AgCl/Bi2WO6 heterojunction for effective removal of RhB dye. Digest Journal of Nanomaterials and Biostructures. 19(2). 571–579. 3 indexed citations
5.
Крылов, В. В. & Guijun Wan. (2024). INFLUENCE OF GEOMAGNETIC FIELD ON INSECT BEHAVIOR. 7–15.
6.
Chen, Hui, Guijun Wan, Jianchun Li, et al.. (2023). Adaptive migratory orientation of an invasive pest on a new continent. iScience. 26(12). 108281–108281. 7 indexed citations
7.
Zhang, Ying, Ming Zhang, Weidong Pan, et al.. (2022). Reliable reference genes for gene expression analyses under the hypomagnetic field in a migratory insect. Frontiers in Physiology. 13. 954228–954228. 6 indexed citations
8.
Wan, Guijun, et al.. (2021). Cryptochrome 1 mediates light-dependent inclination magnetosensing in monarch butterflies. Nature Communications. 12(1). 771–771. 73 indexed citations
9.
Wan, Guijun, et al.. (2020). Geomagnetic field absence reduces adult body weight of a migratory insect by disrupting feeding behavior and appetite regulation. Insect Science. 28(1). 251–260. 11 indexed citations
10.
Wan, Guijun, Ruiying Liu, Chunxu Li, et al.. (2020). Change in geomagnetic field intensity alters migration-associated traits in a migratory insect. Biology Letters. 16(4). 20190940–20190940. 9 indexed citations
11.
Zhang, Ming, et al.. (2019). Wing-form differentiation, phototaxis and flight performance of the brown planthopper, Nilaparvata lugens (Hemiptera: Delphacidae) under near-zero magnetic fields.. Acta Entomologica Sinica. 62(1). 82–90. 1 indexed citations
12.
Li, Zhuo, Guijun Wan, Long Wang, et al.. (2018). Effects of seed mixture sowing with resistant and susceptible rice on population dynamics of target planthoppers and non‐target stemborers and leaffolders. Pest Management Science. 74(7). 1664–1676. 5 indexed citations
13.
Yang, Wen, et al.. (2017). Behavioral rhythms of three Lepidopteran pests; Mythimna separata, Agrotis ypsilon and Helicoverpa armigera.. Kunchong zhishi. 54(2). 190–197. 4 indexed citations
14.
Lu, Yongqing, Yang Dai, Lei Qian, et al.. (2017). Impacts of elevated CO2 on exogenous Bacillus thuringiensis toxins and transgene expression in transgenic rice under different levels of nitrogen. Scientific Reports. 7(1). 14716–14716. 8 indexed citations
15.
Pan, Weidong, Guijun Wan, Jingjing Xu, et al.. (2016). Evidence for the presence of biogenic magnetic particles in the nocturnal migratory brown planthopper, Nilaparvata lugens. Scientific Reports. 6(1). 18771–18771. 14 indexed citations
16.
Wan, Guijun, Wenjing Wang, Kai‐Yun Fu, et al.. (2016). Reduced geomagnetic field may affect positive phototaxis and flight capacity of a migratory rice planthopper. Animal Behaviour. 121. 107–116. 12 indexed citations
17.
Wan, Guijun, Wenjing Wang, Jingjing Xu, et al.. (2015). Cryptochromes and Hormone Signal Transduction under Near-Zero Magnetic Fields: New Clues to Magnetic Field Effects in a Rice Planthopper. PLoS ONE. 10(7). e0132966–e0132966. 20 indexed citations
18.
Wan, Guijun, Wenjing Wang, Guo‐Qing Li, et al.. (2015). Rice stripe virus counters reduced fecundity in its insect vector by modifying insect physiology, primary endosymbionts and feeding behavior. Scientific Reports. 5(1). 12527–12527. 36 indexed citations
19.
Xu, Jingjing, Guijun Wan, Juan He, et al.. (2015). Molecular characterization, tissue and developmental expression profiles of cryptochrome genes in wing dimorphic brown planthoppers, Nilaparvata lugens. Insect Science. 23(6). 805–818. 20 indexed citations
20.
Wan, Guijun, Jingjing Xu, Xiaorong Tao, et al.. (2014). Bio-effects of near-zero magnetic fields on the growth, development and reproduction of small brown planthopper, Laodelphax striatellus and brown planthopper, Nilaparvata lugens. Journal of Insect Physiology. 68. 7–15. 38 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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