Zhen‐peng Kai

1.2k total citations
32 papers, 1.0k citations indexed

About

Zhen‐peng Kai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Insect Science. According to data from OpenAlex, Zhen‐peng Kai has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Insect Science. Recurrent topics in Zhen‐peng Kai's work include Neurobiology and Insect Physiology Research (10 papers), Insect Resistance and Genetics (7 papers) and Plant biochemistry and biosynthesis (5 papers). Zhen‐peng Kai is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Insect Resistance and Genetics (7 papers) and Plant biochemistry and biosynthesis (5 papers). Zhen‐peng Kai collaborates with scholars based in China, Canada and United Kingdom. Zhen‐peng Kai's co-authors include Yan Li, Hong Ju, Xinling Yang, Stephen S. Tobe, Juan Huang, Zhanhui Wang, Ross C. Beier, Haiyang Jiang, Jiancheng Li and Fangyang He and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Zhen‐peng Kai

30 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen‐peng Kai China 16 381 310 305 227 152 32 1.0k
Byung‐Ho Lee South Korea 19 225 0.6× 9 0.0× 171 0.6× 18 0.1× 903 5.9× 90 1.7k
Tana Tana Japan 15 521 1.4× 4 0.0× 173 0.6× 5 0.0× 15 0.1× 40 1.0k
Hiroyuki Tanabe Japan 16 94 0.2× 22 0.1× 455 1.5× 2 0.0× 5 0.0× 78 936
Yandi Zhang China 17 90 0.2× 8 0.0× 242 0.8× 32 0.2× 47 739
Yi Ma China 26 53 0.1× 7 0.0× 808 2.6× 29 0.2× 110 1.9k
Claire E. Stanley Switzerland 17 81 0.2× 8 0.0× 366 1.2× 33 0.2× 37 966
Yasuhiro Kumaki Japan 18 118 0.3× 3 0.0× 360 1.2× 59 0.4× 47 813
Akiyoshi Tanaka Japan 20 141 0.4× 25 0.1× 613 2.0× 2 0.0× 89 1.3k
Gil Shalev Israel 19 184 0.5× 8 0.0× 654 2.1× 20 0.1× 69 1.5k
Koji Yano Japan 20 87 0.2× 2 0.0× 210 0.7× 6 0.0× 22 0.1× 53 1.7k

Countries citing papers authored by Zhen‐peng Kai

Since Specialization
Citations

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

Fields of papers citing papers by Zhen‐peng Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐peng Kai. 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 Zhen‐peng Kai. The network helps show where Zhen‐peng Kai may publish in the future.

Co-authorship network of co-authors of Zhen‐peng Kai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen‐peng Kai. A scholar is included among the top collaborators of Zhen‐peng Kai 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 Zhen‐peng Kai. Zhen‐peng Kai 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, Yimeng, Jialin Cui, Yan Liu, et al.. (2024). Machine learning‐based rational design for efficient discovery of allatostatin analogs as promising lead candidates for novel IGRs. Pest Management Science. 81(3). 1186–1195. 1 indexed citations
2.
Chen, Shanshan, Chunxia Yao, Jiaxin Zhou, et al.. (2024). Occurrence and Risk Assessment of Pesticides, Phthalates, and Heavy Metal Residues in Vegetables from Hydroponic and Conventional Cultivation. Foods. 13(8). 1151–1151. 3 indexed citations
3.
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5.
Nong, Wenyan, Yichun Xie, Tobias Baril, et al.. (2022). Myriapod genomes reveal ancestral horizontal gene transfer and hormonal gene loss in millipedes. Nature Communications. 13(1). 3010–3010. 15 indexed citations
6.
Kai, Zhen‐peng, et al.. (2022). Rethinking Sesquiterpenoids: A Widespread Hormone in Animals. International Journal of Molecular Sciences. 23(11). 5998–5998. 9 indexed citations
7.
Nong, Wenyan, Tobias Baril, Thomas Swale, et al.. (2022). Chromosomal-level reference genome of the moth Heortia vitessoides (Lepidoptera: Crambidae), a major pest of agarwood-producing trees. Genomics. 114(4). 110440–110440. 6 indexed citations
8.
Kai, Zhen‐peng, et al.. (2021). Effects of fragrance compounds on growth of the silkworm Bombyx mori. PeerJ. 9. e11620–e11620. 4 indexed citations
9.
Yin, Yue, et al.. (2019). Enzymes in the juvenile hormone biosynthetic pathway can be potential targets for pest control. Pest Management Science. 76(3). 1071–1077. 29 indexed citations
10.
Wang, Meizi, Xinlu Li, Mengting Chen, et al.. (2019). 3D-QSAR based optimization of insect neuropeptide allatostatin analogs. Bioorganic & Medicinal Chemistry Letters. 29(7). 890–895. 9 indexed citations
11.
Kai, Zhen‐peng, Jingjing Zhu, Xile Deng, Xinling Yang, & Shanshan Chen. (2018). Discovery of a Manduca sexta Allatotropin Antagonist from a Manduca sexta Allatotropin Receptor Homology Model. Molecules. 23(4). 817–817. 3 indexed citations
12.
Huang, Shanshan, Shanshan Chen, Hongling Zhang, et al.. (2018). Structure-Based Discovery of Nonpeptide Allatostatin Analogues for Pest Control. Journal of Agricultural and Food Chemistry. 66(14). 3644–3650. 7 indexed citations
13.
Kai, Zhen‐peng, Yue Yin, Zhiruo Zhang, et al.. (2018). A rapid quantitative assay for juvenile hormones and intermediates in the biosynthetic pathway using gas chromatography tandem mass spectrometry. Journal of Chromatography A. 1538. 67–74. 17 indexed citations
14.
Kai, Zhen‐peng, et al.. (2017). Lepidopteran HMG-CoA reductase is a potential selective target for pest control. PeerJ. 5. e2881–e2881. 13 indexed citations
15.
Yin, Yue, et al.. (2017). Discovery and quantitative structure–activity relationship study of lepidopteran HMG‐CoA reductase inhibitors as selective insecticides. Pest Management Science. 73(9). 1944–1952. 11 indexed citations
16.
Wang, Zhi, et al.. (2014). Molecular modeling studies of atorvastatin analogues as HMGR inhibitors using 3D-QSAR, molecular docking and molecular dynamics simulations. Bioorganic & Medicinal Chemistry Letters. 24(16). 3869–3876. 28 indexed citations
17.
Horodyski, Frank M., Heleen Verlinden, Hans Peter Vandersmissen, et al.. (2011). Isolation and functional characterization of an allatotropin receptor from Manduca sexta. Insect Biochemistry and Molecular Biology. 41(10). 804–814. 40 indexed citations
18.
Kai, Zhen‐peng, Juan Huang, Stephen S. Tobe, & Xinling Yang. (2009). A potential insect growth regulator: Synthesis and bioactivity of an allatostatin mimic. Peptides. 30(7). 1249–1253. 40 indexed citations
19.
Li, Xinghai, Xinling Yang, Xiaomei Liang, et al.. (2008). Synthesis and biological activities of 2-oxocycloalkylsulfonamides. Bioorganic & Medicinal Chemistry. 16(8). 4538–4544. 18 indexed citations
20.
Kai, Zhen‐peng, Yun Ling, Wenjun Liu, Fei Zhao, & Xinling Yang. (2005). The study of solution conformation of allatostatins by 2-D NMR and molecular modeling. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(1). 70–75. 19 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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