Xu Wang

5.8k total citations
169 papers, 3.3k citations indexed

About

Xu Wang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Xu Wang has authored 169 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 52 papers in Genetics and 30 papers in Plant Science. Recurrent topics in Xu Wang's work include Epigenetics and DNA Methylation (19 papers), Genetic Syndromes and Imprinting (11 papers) and CRISPR and Genetic Engineering (11 papers). Xu Wang is often cited by papers focused on Epigenetics and DNA Methylation (19 papers), Genetic Syndromes and Imprinting (11 papers) and CRISPR and Genetic Engineering (11 papers). Xu Wang collaborates with scholars based in China, United States and United Kingdom. Xu Wang's co-authors include Andrew G. Clark, Paul D. Soloway, John H. Werren, Jun Wang, Heather A. Flores, Daniel A. Barbash, Shamoni Maheshwari, Nicholas J. Brideau, Douglas F. Antczak and Donald C. Miller and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Xu Wang

155 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Wang China 31 1.7k 1.1k 654 291 250 169 3.3k
Dany Séverac France 26 1.3k 0.8× 670 0.6× 574 0.9× 239 0.8× 157 0.6× 65 2.3k
Wen Huang United States 37 1.2k 0.7× 1.7k 1.5× 418 0.6× 318 1.1× 281 1.1× 114 3.4k
Anne De Paepe Belgium 19 2.4k 1.4× 1.2k 1.0× 773 1.2× 261 0.9× 279 1.1× 36 4.7k
Wei Fan China 24 1.1k 0.7× 430 0.4× 536 0.8× 223 0.8× 292 1.2× 136 2.2k
Maja Tarailo‐Graovac Canada 20 2.1k 1.3× 945 0.8× 1.1k 1.6× 180 0.6× 234 0.9× 58 3.3k
Nives Škunca Switzerland 12 3.1k 1.8× 772 0.7× 1.2k 1.8× 234 0.8× 504 2.0× 15 5.3k
Guillaume Smits Belgium 24 3.1k 1.9× 1.2k 1.1× 500 0.8× 141 0.5× 357 1.4× 55 4.7k
Christian Prgomet Germany 7 3.2k 1.9× 564 0.5× 525 0.8× 236 0.8× 457 1.8× 7 4.7k
Megan J. Wilson New Zealand 32 2.2k 1.3× 2.5k 2.3× 275 0.4× 170 0.6× 166 0.7× 88 4.5k

Countries citing papers authored by Xu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Wang. A scholar is included among the top collaborators of Xu Wang 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 Xu Wang. Xu Wang 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, Xu, Yansong Li, Yanming Gong, et al.. (2025). Spatiotemporal Dynamics and Driving Mechanism of Aboveground Biomass Across Three Alpine Grasslands in Central Asia over the Past 20 Years Using Three Algorithms. Remote Sensing. 17(3). 538–538. 2 indexed citations
2.
Li, Zhexin, et al.. (2024). Molecular and metabolic insights into the mechanism of exogenous methyl jasmonate in enhancing the postharvest resistance of kiwifruit to Botrytis cinerea. Postharvest Biology and Technology. 219. 113226–113226. 7 indexed citations
3.
Wang, Xu, et al.. (2024). Responses to light in terms of embryonic development and larval phototactic behavior in sea cucumber, Apostichopus japonicus. Aquaculture. 584. 740670–740670. 1 indexed citations
4.
Liu, Qi, Xu Wang, Bohan Wang, et al.. (2024). Identification and transcriptional response of ATP-binding cassette transporters to beta-cypermethrin in the poultry red mite, Dermanyssus gallinae. Pesticide Biochemistry and Physiology. 202. 105960–105960.
5.
Reznick, David N., et al.. (2023). Whole Genome Assembly and Annotation of Blackstripe Livebearer Poeciliopsis prolifica. Genome Biology and Evolution. 15(11).
6.
Xiao, Xiong, et al.. (2023). New insights into the genome and transmission of the microsporidian pathogen Nosema muscidifuracis. Frontiers in Microbiology. 14. 1152586–1152586. 5 indexed citations
7.
Zhang, Miao, Huan Liu, Xu Wang, et al.. (2023). Model‐informed drug development: The mechanistic HSK3486 physiologically based pharmacokinetic model informing dose decisions in clinical trials of specific populations. Biopharmaceutics & Drug Disposition. 44(3). 259–273. 8 indexed citations
8.
Cheng, Qiang, Lukas Farbiak, Amogh Vaidya, et al.. (2023). In situ production and secretion of proteins endow therapeutic benefit against psoriasiform dermatitis and melanoma. Proceedings of the National Academy of Sciences. 120(52). e2313009120–e2313009120. 11 indexed citations
9.
Schrock, Morgan S., Anna Bratasz, Margaret A. Miller, et al.. (2023). Establishment and characterization of two novel patient‐derived lines from canine high‐grade glioma. Veterinary and Comparative Oncology. 21(3). 492–502. 1 indexed citations
10.
Wang, Xu, et al.. (2022). Phylogenetic relationship and characterization of the complete mitochondrial genome sequence of Smerinthus planus (Lepidoptera: Sphingidae). SHILAP Revista de lepidopterología. 7(6). 941–943. 1 indexed citations
11.
12.
Zhang, Hong, et al.. (2022). Complete mitochondrial genome of Kentrochrysalis streckeri (Lepidoptera: Sphingidae) and phylogenetic analysis. SHILAP Revista de lepidopterología. 7(6). 908–910.
13.
14.
Tan, Yongjun, Cindy Wang, Theresa Schneider, et al.. (2021). Comparative Phylogenomic Analysis Reveals Evolutionary Genomic Changes and Novel Toxin Families in Endophytic Liberibacter Pathogens. Microbiology Spectrum. 9(2). e0050921–e0050921. 6 indexed citations
15.
Xiao, Xiong, Paul B. Samollow, Richard P. Metz, et al.. (2021). Genetic and genomic architecture in eight strains of the laboratory opossum Monodelphis domestica. G3 Genes Genomes Genetics. 12(1). 5 indexed citations
16.
Wang, Xu, et al.. (2020). The complete mitochondrial genome sequence of the hawk moth, Theretra oldenlandiae (Lepidoptera: Sphingidae). SHILAP Revista de lepidopterología. 5(1). 978–979. 2 indexed citations
17.
Zhang, Yanzhou, et al.. (2020). Sequencing and analysis of the complete mitochondrial genome of Habrobracon hebetor (Hymenoptera: Braconidae). SHILAP Revista de lepidopterología. 5(1). 1009–1010. 1 indexed citations
18.
Li, Xin, Wen Si, Lulu Li, et al.. (2020). LncRNA ARAP1‐AS2 promotes high glucose‐induced human proximal tubular cell injury via persistent transactivation of the EGFR by interacting with ARAP1. Journal of Cellular and Molecular Medicine. 24(22). 12994–13009. 20 indexed citations
19.
Wang, Xu, Lenore Pipes, Lyudmila N. Trut, et al.. (2018). Genomic responses to selection for tame/aggressive behaviors in the silver fox ( Vulpes vulpes ). Proceedings of the National Academy of Sciences. 115(41). 10398–10403. 51 indexed citations
20.
Brideau, Nicholas J., Heather A. Flores, Jun Wang, et al.. (2006). Two Dobzhansky-Muller Genes Interact to Cause Hybrid Lethality in Drosophila. Science. 314(5803). 1292–1295. 302 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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