Run-Xi Xia

415 total citations
26 papers, 320 citations indexed

About

Run-Xi Xia is a scholar working on Molecular Biology, Insect Science and Immunology. According to data from OpenAlex, Run-Xi Xia has authored 26 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Insect Science and 8 papers in Immunology. Recurrent topics in Run-Xi Xia's work include Invertebrate Immune Response Mechanisms (8 papers), Insect Utilization and Effects (7 papers) and Neurobiology and Insect Physiology Research (7 papers). Run-Xi Xia is often cited by papers focused on Invertebrate Immune Response Mechanisms (8 papers), Insect Utilization and Effects (7 papers) and Neurobiology and Insect Physiology Research (7 papers). Run-Xi Xia collaborates with scholars based in China, United States and Brazil. Run-Xi Xia's co-authors include Yan‐Qun Liu, Yuping Li, Li Qin, Qun Li, Huan Wang, Zhonghuai Xiang, Xiaohui Cui, Xisheng Li, Xian Liu and Yuping Li and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Gene.

In The Last Decade

Run-Xi Xia

26 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Run-Xi Xia China 13 155 105 96 47 43 26 320
Aurora Montali Italy 11 100 0.6× 184 1.8× 58 0.6× 39 0.8× 28 0.7× 18 332
Yi-Han Lou China 11 236 1.5× 226 2.2× 130 1.4× 149 3.2× 73 1.7× 25 521
Guanwang Shen China 13 201 1.3× 137 1.3× 71 0.7× 25 0.5× 119 2.8× 45 369
Zhiqi Meng China 13 283 1.8× 214 2.0× 148 1.5× 75 1.6× 63 1.5× 33 517
Wanna Zhang China 15 306 2.0× 227 2.2× 77 0.8× 105 2.2× 97 2.3× 34 505
Shou‐Min Fang China 13 278 1.8× 249 2.4× 61 0.6× 114 2.4× 60 1.4× 21 493
Eleonora Franzetti Italy 11 281 1.8× 321 3.1× 75 0.8× 106 2.3× 53 1.2× 13 589
Guojun Qi China 10 118 0.8× 175 1.7× 50 0.5× 111 2.4× 24 0.6× 29 320
Amalia Anthousi United Kingdom 8 340 2.2× 293 2.8× 65 0.7× 153 3.3× 73 1.7× 12 590
L.F. Sobala United Kingdom 10 187 1.2× 25 0.2× 39 0.4× 30 0.6× 49 1.1× 15 306

Countries citing papers authored by Run-Xi Xia

Since Specialization
Citations

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

Fields of papers citing papers by Run-Xi Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Run-Xi Xia. 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 Run-Xi Xia. The network helps show where Run-Xi Xia may publish in the future.

Co-authorship network of co-authors of Run-Xi Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Run-Xi Xia. A scholar is included among the top collaborators of Run-Xi Xia 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 Run-Xi Xia. Run-Xi Xia 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.
Xia, Run-Xi, et al.. (2023). Genome-Wide Identification of Detoxification Genes in Wild Silkworm Antheraea pernyi and Transcriptional Response to Coumaphos. International Journal of Molecular Sciences. 24(11). 9775–9775. 2 indexed citations
2.
Fu, Xin, Miaomiao Chen, Run-Xi Xia, et al.. (2023). Genome-Wide Identification and Transcriptome-Based Expression Profile of Cuticular Protein Genes in Antheraea pernyi. International Journal of Molecular Sciences. 24(8). 6991–6991. 4 indexed citations
3.
Liu, Yan‐Qun, et al.. (2022). Comprehensive Analysis of Codon Usage in Quercus Chloroplast Genome and Focus on psbA Gene. Genes. 13(11). 2156–2156. 12 indexed citations
4.
Yao, Wei, et al.. (2021). Biosynthesis of silver nanoparticles (AgNPs) employing Trichoderma strains to control empty-gut disease of oak silkworm (Antheraea pernyi). Materials Today Communications. 28. 102619–102619. 12 indexed citations
5.
Zhang, Jingyu, Xiaomeng Wang, Hualei Hu, et al.. (2020). Comparison of bacterial communities between midgut and midgut contents in two silkworms, Antheraea pernyi and Bombyx mori. Scientific Reports. 10(1). 12966–12966. 15 indexed citations
6.
Zhang, Rusong, Jian Yang, Hualei Hu, et al.. (2020). A high level of chloroplast genome sequence variability in the Sawtooth Oak Quercus acutissima. International Journal of Biological Macromolecules. 152. 340–348. 29 indexed citations
7.
Zheng, Xixi, Hongfang Ma, Yuping Li, et al.. (2019). Transcriptomic analysis of the prothoracic gland from two lepidopteran insects, domesticated silkmoth Bombyx mori and wild silkmoth Antheraea pernyi. Scientific Reports. 9(1). 5313–5313. 11 indexed citations
8.
Wang, Tingting, et al.. (2019). Characterization of a highly conserved Antheraea pernyi spermidine synthase gene. 3 Biotech. 9(6). 224–224. 1 indexed citations
9.
Zhang, Rusong, Qun Li, Run-Xi Xia, et al.. (2019). Comparative mitochondrial genomes provide new insights into the true wild progenitor and origin of domestic silkworm Bombyx mori. International Journal of Biological Macromolecules. 131. 176–183. 14 indexed citations
10.
Ma, Hongfang, Xixi Zheng, Yuping Li, et al.. (2017). Characterization of the Adult Head Transcriptome and Identification of Migration and Olfaction Genes in the Oriental Armyworm Mythimna separate. Scientific Reports. 7(1). 2324–2324. 4 indexed citations
11.
Liu, Yan‐Qun, Xixi Zheng, Hongfang Ma, et al.. (2016). Supercooling Capacity and Cold Tolerance of the Wild Silkworm,Antheraea pernyi(Lepidoptera: Saturniidae). Journal of Economic Entomology. 109(4). 1619–1627. 6 indexed citations
12.
13.
Chen, Miaomiao, Yan‐Qun Liu, Yan Li, et al.. (2014). Molecular Characterization and Phylogenetic Analysis of the Eukaryotic Translation Initiation Factor 4A Gene in Antheraea pernyi (Lipdoptera: Saturniidae). Journal of Insect Science. 14(1). 168–168. 3 indexed citations
14.
Liu, Yan‐Qun, et al.. (2012). Selective pressure dominates the synonymous codon usage in parvoviridae. Virus Genes. 46(1). 10–19. 32 indexed citations
15.
Li, Yuping, Yan‐Qun Liu, Run-Xi Xia, et al.. (2011). cDNA Cloning and Expression Pattern of Homolog of Alpha Subunit of Platelet-Activating Factor Acetylhydrolase Ib from the Chinese Oak Silkworm,Antheraea pernyi. Journal of Insect Science. 11(148). 1–8. 2 indexed citations
16.
Wu, Song, Yuping Li, Qun Li, et al.. (2010). Cloning and characterization of the first actin gene in Chinese oak silkworm, Antheraea pernyi. African Journal of Agricultural Research. 5(10). 95–1100. 12 indexed citations
17.
Liu, Yan‐Qun, Yuping Li, Huan Wang, et al.. (2010). cDNA cloning and expression pattern of two enolase genes from the Chinese oak silkworm, <italic>Antheraea pernyi</italic>. Acta Biochimica et Biophysica Sinica. 42(11). 816–826. 15 indexed citations
18.
Li, Yuping, et al.. (2010). Molecular cloning, expression pattern and phylogenetic analysis of the will die slowly gene from the Chinese oak silkworm, Antheraea pernyi. Molecular Biology Reports. 38(6). 3795–3803. 7 indexed citations
19.
20.
Li, Yuping, Run-Xi Xia, Huan Wang, et al.. (2009). Construction of a full-length cDNA Library from Chinese oak silkworm pupa and identification of a KK-42-binding protein gene in relation to pupa-diapause termination. International Journal of Biological Sciences. 5(5). 451–457. 29 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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