Jinchuan Xing

54.3k total citations · 1 hit paper
106 papers, 5.5k citations indexed

About

Jinchuan Xing is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jinchuan Xing has authored 106 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 57 papers in Genetics and 38 papers in Plant Science. Recurrent topics in Jinchuan Xing's work include Chromosomal and Genetic Variations (37 papers), Genomics and Phylogenetic Studies (34 papers) and RNA and protein synthesis mechanisms (16 papers). Jinchuan Xing is often cited by papers focused on Chromosomal and Genetic Variations (37 papers), Genomics and Phylogenetic Studies (34 papers) and RNA and protein synthesis mechanisms (16 papers). Jinchuan Xing collaborates with scholars based in United States, China and Egypt. Jinchuan Xing's co-authors include Mark A. Batzer, Lynn B. Jorde, David J. Witherspoon, Chad D. Huff, Dale J. Hedges, Tatum S. Simonson, Kyudong Han, W. Scott Watkins, David A. Ray and Qin Ga and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jinchuan Xing

104 papers receiving 5.4k citations

Hit Papers

Genetic Evidence for High-Altitude Adaptation in Tibet 2010 2026 2015 2020 2010 250 500 750

Peers

Jinchuan Xing
George H. Perry United States
Nick Patterson United States
Wesley C. Warren United States
Vincent J. Lynch United States
Joshua M. Akey United States
Henrik Kaessmann Switzerland
Jeffrey D. Wall United States
Nick Patterson United States
George H. Perry United States
Jinchuan Xing
Citations per year, relative to Jinchuan Xing Jinchuan Xing (= 1×) peers George H. Perry

Countries citing papers authored by Jinchuan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Jinchuan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinchuan Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Jinchuan Xing. A scholar is included among the top collaborators of Jinchuan Xing 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 Jinchuan Xing. Jinchuan Xing 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.
Xing, Jinchuan, Fu‐Rong Chen, Yongkui Zhang, et al.. (2025). Characteristics, sources, and health risks of PM2.5-bound trace elements at a national park site in southern China. Scientific Reports. 15(1). 7367–7367.
2.
Tanimura, Kazuya, Melinda C. Aldrich, Jinchuan Xing, et al.. (2024). Identifying a Genetic Link Between Lung Function and Psoriasis. Annals of Human Genetics. 89(2-3). 89–95.
3.
Sun, Siqi, Siwen Wu, Janet K. Jang, et al.. (2024). Whole transcriptome screening for novel genes involved in meiosis and fertility in Drosophila melanogaster. Scientific Reports. 14(1). 3602–3602. 1 indexed citations
4.
Ahsan, Mian Umair, et al.. (2023). Assessing the Expression of Long INterspersed Elements (LINEs) via Long-Read Sequencing in Diverse Human Tissues and Cell Lines. Genes. 14(10). 1893–1893. 1 indexed citations
5.
Sun, Siqi, Mary E. Haywood, Charles R. Wageman, et al.. (2023). Identifying risk variants for embryo aneuploidy using ultra-low coverage whole-genome sequencing from preimplantation genetic testing. The American Journal of Human Genetics. 110(12). 2092–2102. 6 indexed citations
6.
Cao, Xiaolong, Anbo Zhou, Marco A. Azaro, et al.. (2023). Structural Variations Contribute to the Genetic Etiology of Autism Spectrum Disorder and Language Impairments. International Journal of Molecular Sciences. 24(17). 13248–13248. 1 indexed citations
7.
Wartosch, Lena, Karen Schindler, Melina Schuh, et al.. (2021). Origins and mechanisms leading to aneuploidy in human eggs. Prenatal Diagnosis. 41(5). 620–630. 44 indexed citations
8.
Tyc, Katarzyna M., Rajiv C. McCoy, Karen Schindler, & Jinchuan Xing. (2020). Mathematical modeling of human oocyte aneuploidy. Proceedings of the National Academy of Sciences. 117(19). 10455–10464. 18 indexed citations
9.
Li, Jing, Zhenxin Fan, Amanda L. Pendleton, et al.. (2020). Genomic Copy Number Variation Study of Nine Macaca Species Provides New Insights into Their Genetic Divergence, Adaptation, and Biomedical Application. Genome Biology and Evolution. 12(12). 2211–2230. 8 indexed citations
10.
Liu, Hua, et al.. (2020). Characterization of the primate TRIM gene family reveals the recent evolution in primates. Molecular Genetics and Genomics. 295(5). 1281–1294. 3 indexed citations
11.
Kumar, Namit, Yu-Hwai Tsai, Lei Chen, et al.. (2019). The lineage-specific transcription factor CDX2 navigates dynamic chromatin to control distinct stages of intestine development. Development. 146(5). 45 indexed citations
12.
Oppenheim, Sara J., Xiaolong Cao, Rob DeSalle, et al.. (2019). Whole Genome Sequencing and Assembly of the Asian Honey Bee Apis dorsata. Genome Biology and Evolution. 12(1). 3677–3683. 21 indexed citations
13.
Vázquez, Berta N., Joshua K. Thackray, Nicolás G. Simonet, et al.. (2019). SIRT7 mediates L1 elements transcriptional repression and their association with the nuclear lamina. Nucleic Acids Research. 47(15). 7870–7885. 57 indexed citations
14.
Perekatt, Ansu O., Pooja Shah, Shannon Cheung, et al.. (2018). SMAD4 Suppresses WNT-Driven Dedifferentiation and Oncogenesis in the Differentiated Gut Epithelium. Cancer Research. 78(17). 4878–4890. 57 indexed citations
15.
Regier, Allison, Yossi Farjoun, David E. Larson, et al.. (2018). Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects. Nature Communications. 9(1). 4038–4038. 73 indexed citations
16.
Ross, J Cosbie, Erika Gedvilaite, Judith A. Badner, et al.. (2016). A Rare Variant in <b><i>CACNA1D</i></b> Segregates with 7 Bipolar I Disorder Cases in a Large Pedigree. PubMed. 2(3). 145–150. 15 indexed citations
17.
Ha, Hongseok, Nan Wang, & Jinchuan Xing. (2015). Library Construction for High-Throughput Mobile Element Identification and Genotyping. Methods in molecular biology. 1589. 1–15. 3 indexed citations
18.
Fan, Zhenxin, Guang Zhao, Jing Li, et al.. (2014). Whole-Genome Sequencing of Tibetan Macaque (Macaca thibetana) Provides New Insight into the Macaque Evolutionary History. Molecular Biology and Evolution. 31(6). 1475–1489. 38 indexed citations
19.
Simonson, Tatum S., Yingzhong Yang, Chad D. Huff, et al.. (2010). Genetic Evidence for High-Altitude Adaptation in Tibet. Science. 329(5987). 72–75. 862 indexed citations breakdown →
20.
Damert, Annette, Johannes Löwer, Hui Wang, et al.. (2009). 5′-Transducing SVA retrotransposon groups spread efficiently throughout the human genome. Genome Research. 19(11). 1992–2008. 88 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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