Pin‐Jun Wan

1.2k total citations
55 papers, 945 citations indexed

About

Pin‐Jun Wan is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Pin‐Jun Wan has authored 55 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Insect Science and 16 papers in Plant Science. Recurrent topics in Pin‐Jun Wan's work include Insect Resistance and Genetics (36 papers), Insect-Plant Interactions and Control (15 papers) and Neurobiology and Insect Physiology Research (12 papers). Pin‐Jun Wan is often cited by papers focused on Insect Resistance and Genetics (36 papers), Insect-Plant Interactions and Control (15 papers) and Neurobiology and Insect Physiology Research (12 papers). Pin‐Jun Wan collaborates with scholars based in China, United States and Bangladesh. Pin‐Jun Wan's co-authors include Guo‐Qing Li, Li‐Tao Zhou, Wen‐Chao Guo, Shuang Jia, Tursun Ahmat, Qiang Fu, Xiaoqin Shi, Kai‐Yun Fu, Lili Mu and Weixia Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Pin‐Jun Wan

51 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pin‐Jun Wan China 18 711 551 270 211 136 55 945
Yingchuan Peng China 19 792 1.1× 618 1.1× 328 1.2× 146 0.7× 102 0.8× 39 1.0k
Feng Shang China 15 476 0.7× 438 0.8× 222 0.8× 113 0.5× 105 0.8× 45 701
Huamei Xiao China 18 542 0.8× 403 0.7× 253 0.9× 98 0.5× 106 0.8× 31 916
Lin‐Quan Ge China 16 349 0.5× 595 1.1× 372 1.4× 117 0.6× 105 0.8× 44 799
Quan‐You Yu China 17 670 0.9× 559 1.0× 227 0.8× 133 0.6× 155 1.1× 27 999
Guangchun Cao China 17 482 0.7× 544 1.0× 384 1.4× 71 0.3× 59 0.4× 34 759
Lin Jin China 16 935 1.3× 669 1.2× 498 1.8× 122 0.6× 107 0.8× 77 1.2k
Qiong Yao China 14 967 1.4× 734 1.3× 358 1.3× 307 1.5× 232 1.7× 43 1.3k
Er‐Hu Chen China 16 286 0.4× 389 0.7× 139 0.5× 177 0.8× 129 0.9× 31 562
Ze Zhang China 9 450 0.6× 320 0.6× 168 0.6× 101 0.5× 76 0.6× 14 647

Countries citing papers authored by Pin‐Jun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Pin‐Jun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin‐Jun Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Pin‐Jun Wan. A scholar is included among the top collaborators of Pin‐Jun 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 Pin‐Jun Wan. Pin‐Jun 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, Weixia, et al.. (2025). A Mucin2-Like Gene, NlMuc2, is Required for Early Embryonic Development in Nilaparvata lugens. Rice Science. 32(4). 549–560.
2.
Wang, Xinfeng, et al.. (2024). Integrative Omics Strategies for Understanding and Combating Brown Planthopper Virulence in Rice Production: A Review. International Journal of Molecular Sciences. 25(20). 10981–10981.
3.
Liu, Fang, Weixia Wang, Qi Wei, et al.. (2024). Defense Regulatory Network Associated with circRNA in Rice in Response to Brown Planthopper Infestation. Plants. 13(3). 373–373. 1 indexed citations
4.
Wei, Qi, Yao D. Cai, Pin‐Jun Wan, et al.. (2023). Characterization of light‐dependent rhythm of courtship vibrational signals in Nilaparvata lugens : essential involvement of cryptochrome genes. Pest Management Science. 80(2). 508–517. 1 indexed citations
5.
Zhu, Xuhui, Qi Wei, Pin‐Jun Wan, et al.. (2023). Effect of Paclobutrazol Application on Enhancing the Efficacy of Nitenpyram against the Brown Planthopper, Nilaparvata lugens. International Journal of Molecular Sciences. 24(13). 10490–10490. 5 indexed citations
6.
Wang, Weixia, et al.. (2022). SPARC plays an important role in the oviposition and nymphal development in Nilaparvata lugens Stål. BMC Genomics. 23(1). 682–682. 2 indexed citations
7.
Nanda, Satyabrata, et al.. (2020). Identification and analysis of miRNAs in IR56 rice in response to BPH infestations of different virulence levels. Scientific Reports. 10(1). 19093–19093. 13 indexed citations
8.
Wang, Weixia, et al.. (2020). Identification and functional analysis of five genes that encode distinct isoforms of protein phosphatase 1 in Nilaparvata lugens. Scientific Reports. 10(1). 10885–10885. 1 indexed citations
9.
Wan, Pin‐Jun, Ruonan Zhou, Satyabrata Nanda, et al.. (2019). Phenotypic and transcriptomic responses of two Nilaparvata lugens populations to the Mudgo rice containing Bph1. Scientific Reports. 9(1). 14049–14049. 15 indexed citations
10.
11.
Wan, Pin‐Jun, et al.. (2017). Reference genes for quantitative real-time PCR analysis in symbiont Entomomyces delphacidicola of Nilaparvata lugens (Stål). Scientific Reports. 7(1). 42206–42206. 13 indexed citations
12.
Han, Jinbo, Guo‐Qing Li, Pin‐Jun Wan, Τao Zhu, & Qingwei Meng. (2016). Identification of glutathione S-transferase genes in Leptinotarsa decemlineata and their expression patterns under stress of three insecticides. Pesticide Biochemistry and Physiology. 133. 26–34. 73 indexed citations
13.
14.
Wan, Pin‐Jun, Kai‐Yun Fu, Feng‐Gong Lü, Wen‐Chao Guo, & Guo‐Qing Li. (2015). Knockdown of a putative alanine aminotransferase gene affects amino acid content and flight capacity in the Colorado potato beetle Leptinotarsa decemlineata. Amino Acids. 47(7). 1445–1454. 11 indexed citations
15.
16.
Wan, Pin‐Jun, Xiaoqin Shi, Li‐Tao Zhou, et al.. (2013). Identification of cytochrome P450 monooxygenase genes and their expression profiles in cyhalothrin-treated Colorado potato beetle, Leptinotarsa decemlineata. Pesticide Biochemistry and Physiology. 107(3). 360–368. 60 indexed citations
17.
Shi, Xiaoqin, Wen‐Chao Guo, Pin‐Jun Wan, et al.. (2013). Validation of reference genes for expression analysis by quantitative real-time PCR in Leptinotarsa decemlineata (Say). BMC Research Notes. 6(1). 93–93. 146 indexed citations
18.
Jia, Shuang, Pin‐Jun Wan, Li‐Tao Zhou, Lili Mu, & Guo‐Qing Li. (2013). Knockdown of a putative Halloween gene Shade reveals its role in ecdysteroidogenesis in the small brown planthopper Laodelphax striatellus. Gene. 531(2). 168–174. 30 indexed citations
19.
Zhou, Li‐Tao, Shuang Jia, Pin‐Jun Wan, et al.. (2013). RNA interference of a putative S-adenosyl-L-homocysteine hydrolase gene affects larval performance in Leptinotarsa decemlineata (Say). Journal of Insect Physiology. 59(10). 1049–1056. 57 indexed citations
20.
Zhang, Ying, Yan Ma, Pin‐Jun Wan, Lili Mu, & Guo‐Qing Li. (2013). <I>Bacillus thuringiensis</I> Insecticidal Crystal Proteins Affect Lifespan and Reproductive Performance of <I>Helicoverpa armigera</I> and <I>Spodoptera exigua</I> Adults. Journal of Economic Entomology. 106(2). 614–621. 5 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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