Jinjin Liang

870 total citations
35 papers, 608 citations indexed

About

Jinjin Liang is a scholar working on Molecular Biology, Insect Science and Control and Systems Engineering. According to data from OpenAlex, Jinjin Liang has authored 35 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Insect Science and 4 papers in Control and Systems Engineering. Recurrent topics in Jinjin Liang's work include Insect-Plant Interactions and Control (18 papers), Insect Resistance and Genetics (17 papers) and Insect and Pesticide Research (12 papers). Jinjin Liang is often cited by papers focused on Insect-Plant Interactions and Control (18 papers), Insect Resistance and Genetics (17 papers) and Insect and Pesticide Research (12 papers). Jinjin Liang collaborates with scholars based in China, United States and Germany. Jinjin Liang's co-authors include Youjun Zhang, Shaonan Liu, Chao He, Wen Xie, Qingjun Wu, Shaoli Wang, Richard Levy, Jack Shi, Peggy Scherle and Alice B. Gottlieb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Science Advances.

In The Last Decade

Jinjin Liang

33 papers receiving 601 citations

Peers

Jinjin Liang
Tomoko Matsunaga Japan
Haifeng Xu China
Jina Ryu South Korea
Vadim Kumeiko Russia
Michael Giblin United States
Shinji Yasuhira Japan
Ze‐Long Zhang China
Nita Agar Australia
Heeyoun Bunch South Korea
Steven E. Freeman United States
Tomoko Matsunaga Japan
Jinjin Liang
Citations per year, relative to Jinjin Liang Jinjin Liang (= 1×) peers Tomoko Matsunaga

Countries citing papers authored by Jinjin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jinjin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinjin Liang. A scholar is included among the top collaborators of Jinjin Liang 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 Jinjin Liang. Jinjin Liang 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.
Zhang, Rong, Jing Yang, Jinyu Hu, et al.. (2024). Glutathione S-transferase directly metabolizes imidacloprid in the whitefly, Bemisia tabaci. Pesticide Biochemistry and Physiology. 201. 105863–105863. 8 indexed citations
2.
Fu, Buli, Jinyu Hu, Jing Yang, et al.. (2024). Field‐evolved resistance to nitenpyram is associated with fitness costs in whitefly. Pest Management Science. 80(11). 5684–5693. 3 indexed citations
3.
Fu, Buli, Jinjin Liang, Jinyu Hu, et al.. (2024). GPCR–MAPK signaling pathways underpin fitness trade-offs in whitefly. Proceedings of the National Academy of Sciences. 121(28). e2402407121–e2402407121. 21 indexed citations
4.
Gong, Peipan, Cheng Yin, Jing Yang, et al.. (2024). Cytochrome P450 CYP6EM1 confers resistance to thiamethoxam in the whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) via detoxification metabolism. Pesticide Biochemistry and Physiology. 208. 106272–106272. 2 indexed citations
5.
6.
Du, Tianhua, Cheng Yin, Lianyou Gui, et al.. (2023). Over-expression of UDP-glycosyltransferase UGT353G2 confers resistance to neonicotinoids in whitefly (Bemisia tabaci). Pesticide Biochemistry and Physiology. 196. 105635–105635. 17 indexed citations
7.
Wang, Weiyi, Jinjin Liang, Chaohui Chen, et al.. (2023). Fabrication of PEDOT:PSS-based solution gated organic electrochemical transistor array for cancer cells detection. RSC Advances. 13(51). 36416–36423. 7 indexed citations
8.
Ruan, Meilin, Jinjin Liang, Zhengtao Zhang, et al.. (2023). Three-Dimensional PLGA Nanofiber-Based Microchip for High-Efficiency Cancer Cell Capture. Materials. 16(8). 3065–3065. 2 indexed citations
9.
Wei, Xuegao, Jinyu Hu, Jing Yang, et al.. (2023). Cytochrome P450 CYP6DB3 was involved in thiamethoxam and imidacloprid resistance in Bemisia tabaci Q (Hemiptera: Aleyrodidae). Pesticide Biochemistry and Physiology. 194. 105468–105468. 23 indexed citations
10.
Gong, Peipan, Xuegao Wei, Shaonan Liu, et al.. (2023). Novel_miR-1517 mediates CYP6CM1 to regulate imidacloprid resistance in Bemisia tabaci (Hemiptera: Gennadius). Pesticide Biochemistry and Physiology. 194. 105469–105469. 8 indexed citations
11.
Liu, Shaonan, Buli Fu, Chengjia Zhang, et al.. (2023). 20E biosynthesis gene CYP306A1 confers resistance to imidacloprid in the nymph stage of Bemisia tabaci by detoxification metabolism. Pest Management Science. 79(10). 3883–3892. 12 indexed citations
12.
Chen, Yuanyuan, Zhendong Cheng, Chao Gao, et al.. (2022). Efficient and Stable Inverted Perovskite Solar Cells with Graphene Oxide‐Modified Hole Transport Layer. Energy Technology. 10(11). 6 indexed citations
13.
Liang, Jinjin, et al.. (2022). Application Research of Petroleum Basic Data Mining System Based on Intelligent Computing and Decision Tree Algorithm. Wireless Communications and Mobile Computing. 2022(1). 1 indexed citations
14.
Du, Tianhua, Buli Fu, Xuegao Wei, et al.. (2021). Knockdown of UGT352A5 decreases the thiamethoxam resistance in Bemisia tabaci (Hemiptera: Gennadius). International Journal of Biological Macromolecules. 186. 100–108. 43 indexed citations
15.
Liu, Shaonan, Chao He, Jinjin Liang, et al.. (2020). Molecular characterization and functional analysis of the Halloween genes and CYP18A1 in Bemisia tabaci MED. Pesticide Biochemistry and Physiology. 167. 104602–104602. 23 indexed citations
16.
Liang, Jinjin, et al.. (2020). A Hybrid Teaching Mode Based on Machine Learning Algorithm. 6(1). 22–28. 3 indexed citations
17.
He, Chao, Jinjin Liang, Shaonan Liu, et al.. (2019). Molecular characterization of an NADPH cytochrome P450 reductase from Bemisia tabaci Q: Potential involvement in susceptibility to imidacloprid. Pesticide Biochemistry and Physiology. 162. 29–35. 13 indexed citations
18.
He, Chao, Jinjin Liang, Shaonan Liu, et al.. (2018). Changes in the expression of four ABC transporter genes in response to imidacloprid in Bemisia tabaci Q (Hemiptera: Aleyrodidae). Pesticide Biochemistry and Physiology. 153. 136–143. 56 indexed citations
19.
Zhang, Xianwei & Jinjin Liang. (2016). Multiple Smooth Support Vector Machine with FCM Clustering in Hidden Space. International Journal of Grid and Distributed Computing. 9(9). 129–136. 2 indexed citations
20.
Punwani, Naresh, Peggy Scherle, Jack Shi, et al.. (2012). Preliminary clinical activity of a topical JAK1/2 inhibitor in the treatment of psoriasis. Journal of the American Academy of Dermatology. 67(4). 658–664. 148 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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