Yaping Guo

1.7k total citations
69 papers, 1.4k citations indexed

About

Yaping Guo is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yaping Guo has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Plant Science and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yaping Guo's work include Insect Resistance and Genetics (13 papers), Genetic diversity and population structure (9 papers) and Orthoptera Research and Taxonomy (9 papers). Yaping Guo is often cited by papers focused on Insect Resistance and Genetics (13 papers), Genetic diversity and population structure (9 papers) and Orthoptera Research and Taxonomy (9 papers). Yaping Guo collaborates with scholars based in China, United States and Taiwan. Yaping Guo's co-authors include Raymond F. Regan, Enbo Ma, Jianzhen Zhang, Kun Yan Zhu, Haihua Wu, Enbo Ma, Xueyao Zhang, S. Scott Panter, Jianqin Zhang and Guohua Qin and has published in prestigious journals such as PLoS ONE, Circulation Research and Brain Research.

In The Last Decade

Yaping Guo

64 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaping Guo China 23 674 341 254 194 192 69 1.4k
Yongjian Liu China 34 593 0.9× 116 0.3× 189 0.7× 272 1.4× 117 0.6× 104 3.9k
Glen E. Kisby United States 24 815 1.2× 51 0.1× 386 1.5× 308 1.6× 54 0.3× 45 1.8k
Roberto Scarpato Italy 25 741 1.1× 47 0.1× 457 1.8× 319 1.6× 153 0.8× 66 1.9k
Erminio Giavini Italy 27 868 1.3× 47 0.1× 220 0.9× 400 2.1× 253 1.3× 93 2.3k
Cheng-Yi Chang Taiwan 26 780 1.2× 76 0.2× 159 0.6× 54 0.3× 100 0.5× 54 2.0k
Thomas Merritt Canada 20 411 0.6× 218 0.6× 156 0.6× 131 0.7× 223 1.2× 46 1.1k
Hatasu Kobayashi Japan 30 685 1.0× 133 0.4× 66 0.3× 83 0.4× 299 1.6× 80 2.4k
Junko Shibato Japan 29 1.4k 2.1× 164 0.5× 1.2k 4.6× 56 0.3× 147 0.8× 91 2.9k
Huiqiang Lu China 26 672 1.0× 74 0.2× 207 0.8× 635 3.3× 79 0.4× 98 2.1k
J.J.A. Heffron Ireland 22 1.2k 1.8× 109 0.3× 68 0.3× 84 0.4× 107 0.6× 92 1.8k

Countries citing papers authored by Yaping Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Guo. A scholar is included among the top collaborators of Yaping Guo 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 Yaping Guo. Yaping Guo 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.
Xu, Jing, Hao Peng, Haiyu Zhou, et al.. (2025). Single-cell transcriptome reveals three types of adipocytes associated with intramuscular fat content in pigs. Genomics. 117(2). 110998–110998.
2.
Chen, Wen-Ming, et al.. (2019). Amniculibacterium aquaticum gen. nov., sp. nov., a new member of the family Flavobacteriaceae isolated from a stream. Archives of Microbiology. 201(8). 1119–1127. 4 indexed citations
3.
Zhang, Jianqin, Daqi Li, Yaping Guo, et al.. (2015). Two homologous carboxylesterase genes from Locusta migratoria with different tissue expression patterns and roles in insecticide detoxification. Journal of Insect Physiology. 77. 1–8. 30 indexed citations
4.
Zhang, Xueyao, Haihua Wu, Han Yan, et al.. (2014). Molecular Basis for Antioxidant Enzymes in Mediating Copper Detoxification in the Nematode Caenorhabditis elegans. PLoS ONE. 9(9). e107685–e107685. 31 indexed citations
5.
Zhang, Jianqin, Daqi Li, Yaping Guo, et al.. (2014). Molecular and Functional Characterization of cDNAs Putatively Encoding Carboxylesterases from the Migratory Locust, Locusta migratoria. PLoS ONE. 9(4). e94809–e94809. 28 indexed citations
6.
Liu, Yaoming, Haihua Wu, Xiaojian Liu, et al.. (2014). Two Metallothionein Genes in Oxya chinensis: Molecular Characteristics, Expression Patterns and Roles in Heavy Metal Stress. PLoS ONE. 9(11). e112759–e112759. 40 indexed citations
7.
Zhang, Jianqin, Daqi Li, Meiling Yang, et al.. (2013). RNA interference revealed the roles of two carboxylesterase genes in insecticide detoxification in Locusta migratoria. Chemosphere. 93(6). 1207–1215. 43 indexed citations
8.
Qin, Guohua, Ting Liu, Xueyao Zhang, et al.. (2013). Characterization and Functional Analysis of Four Glutathione S-Transferases from the Migratory Locust, Locusta migratoria. PLoS ONE. 8(3). e58410–e58410. 75 indexed citations
9.
Zhang, Xueyao, Tao Li, Jianqin Zhang, et al.. (2012). STRUCTURAL AND CATALYTIC ROLE OF TWO CONSERVED TYROSINES IN DELTA‐CLASS GLUTATHIONE S‐TRANSFERASE FROM Locusta migratoria. Archives of Insect Biochemistry and Physiology. 80(2). 77–91. 6 indexed citations
10.
Zhang, Min, Juping Wang, Tao Li, et al.. (2012). The complete mitochondrial genome of the butterfly Apatura metis (Lepidoptera: Nymphalidae). Molecular Biology Reports. 39(6). 6529–6536. 22 indexed citations
12.
Wang, Yue, et al.. (2010). Accumulation of Chromium in Oxya chinensis and Its Effects on the Antioxidant System. Nongye huanjing kexue xuebao. 29(12). 2281–2286. 1 indexed citations
13.
Li, Lijun, et al.. (2010). Toxic effects of Cd2+ on protective enzyme systems at different developing stages of Oxya chinensis (Orthoptera Acridoidae).. Nongye huanjing kexue xuebao. 29(8). 1448–1454. 2 indexed citations
14.
Li, Tao, et al.. (2010). Genetic diversity of different geographical populations of <I>Oxya chinensis</I> based on AFLP analysis. Hereditas (Beijing). 32(2). 163–169. 1 indexed citations
15.
Guo, Yaping, et al.. (2009). Comparison of Cd and Pb concentrations and antioxidant enzyme activities between different body segments of Oxya chinensis.. Nongye huanjing kexue xuebao. 28(3). 471–475. 1 indexed citations
16.
Li, Lijun, et al.. (2009). Different survival of chromium-exposed Oxya chinensis among allozyme genotypes. Journal of Environmental Sciences. 21(4). 509–513. 1 indexed citations
17.
Li, Lijun, Xuemei Liu, Yihao Duan, et al.. (2006). Accumulation of cadmium and copper by female Oxya chinensis (Orthopera: Acridoidea) in soil-plant-insect system. Journal of Environmental Sciences. 18(2). 341–346. 9 indexed citations
18.
Ma, Enbo, et al.. (2002). Chromosome aberration assays for the study of cyclophosphamide and Bacillus thuringiensis in Oxya chinensis (Orthoptera: Acrididae). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 520(1-2). 141–150. 11 indexed citations
19.
Regan, Raymond F., et al.. (2001). Activation of extracellular signal‐regulated kinases potentiates hemin toxicity in astrocyte cultures. Journal of Neurochemistry. 79(3). 545–555. 54 indexed citations
20.
Regan, Raymond F. & Yaping Guo. (1998). Toxic Effect of Hemoglobin on Spinal Cord Neurons in Culture. Journal of Neurotrauma. 15(8). 645–653. 61 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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