Xuyun Hu

1.2k total citations
54 papers, 801 citations indexed

About

Xuyun Hu is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xuyun Hu has authored 54 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 22 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xuyun Hu's work include Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (10 papers) and Thyroid Disorders and Treatments (7 papers). Xuyun Hu is often cited by papers focused on Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (10 papers) and Thyroid Disorders and Treatments (7 papers). Xuyun Hu collaborates with scholars based in China, United States and Spain. Xuyun Hu's co-authors include Yiping Shen, Shaoke Chen, Xin Fan, Jingsi Luo, Jiasun Su, Niu Li, Jian Wang, Chunyun Fu, Jin Wang and Shiyu Luo and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Clinical Chemistry.

In The Last Decade

Xuyun Hu

51 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuyun Hu China 18 484 327 238 77 72 54 801
Angela D’Elia Italy 16 420 0.9× 154 0.5× 106 0.4× 68 0.9× 70 1.0× 37 780
Jean‐Marc Ricort France 17 505 1.0× 119 0.4× 301 1.3× 35 0.5× 99 1.4× 28 740
Alfonso Massimiliano Ferrara Italy 17 335 0.7× 206 0.6× 461 1.9× 50 0.6× 53 0.7× 31 956
Minoru Nakazato Japan 18 347 0.7× 135 0.4× 433 1.8× 44 0.6× 39 0.5× 22 787
Chiara Baldacci Italy 11 206 0.4× 396 1.2× 229 1.0× 22 0.3× 58 0.8× 14 771
Aurore Carré France 19 563 1.2× 363 1.1× 510 2.1× 76 1.0× 23 0.3× 37 953
Audrey Billon-Galés France 8 185 0.4× 354 1.1× 202 0.8× 15 0.2× 47 0.7× 8 607
Emily M. Walker United States 19 617 1.3× 295 0.9× 142 0.6× 59 0.8× 64 0.9× 33 1.0k
Yuan-Yuan Ho Hong Kong 12 325 0.7× 275 0.8× 59 0.2× 24 0.3× 86 1.2× 18 785
Jean-Louis Danan France 22 559 1.2× 264 0.8× 96 0.4× 115 1.5× 169 2.3× 41 1.0k

Countries citing papers authored by Xuyun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xuyun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuyun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuyun Hu. A scholar is included among the top collaborators of Xuyun Hu 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 Xuyun Hu. Xuyun Hu 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.
Yang, Qingsong, et al.. (2025). Unusual Autosomal Dominant Inheritance of Oculocutaneous Albinism Type 4 (OCA‐4): Clinical and Functional Features From A Chinese Family. Pigment Cell & Melanoma Research. 38(3). e70013–e70013.
2.
Hu, Xuyun, et al.. (2024). Genetic screening reveals hotspot variants and prevalence rates of Hermansky-Pudlak syndrome in the Chinese population. Clinica Chimica Acta. 561. 119813–119813. 1 indexed citations
3.
Hao, Chanjuan, Xuyun Hu, Ruolan Guo, et al.. (2024). Targeted gene sequencing and hearing follow-up in 7501 newborns reveals an improved strategy for newborn hearing screening. European Journal of Human Genetics. 33(4). 468–475.
4.
Zhang, Wenyan, Ruolan Guo, Zhan Qi, et al.. (2022). Newborn Genetic Screening Revealed Increased Levels of Biochemical Indicators in Carriers of Heterozygous Variants. Genetic Testing and Molecular Biomarkers. 26(12). 573–581.
5.
Hao, Chanjuan, Ruolan Guo, Jun Liu, et al.. (2021). Exome sequencing as the first‐tier test for pediatric respiratory diseases: A single‐center study. Human Mutation. 42(7). 891–900. 2 indexed citations
6.
Hao, Chanjuan, Xuyun Hu, Ruolan Guo, et al.. (2021). Clinical Application of Whole Exome Sequencing for Monogenic Disorders in PICU of China. Frontiers in Genetics. 12. 677699–677699. 8 indexed citations
7.
Liu, Jun, Xuyun Hu, Ruolan Guo, et al.. (2019). Compound heterozygous LPIN2 pathogenic variants in a patient with Majeed syndrome with recurrent fever and severe neutropenia: case report. BMC Medical Genetics. 20(1). 11 indexed citations
8.
Guo, Jun, Zheng Li, Chanjuan Hao, et al.. (2019). A novel de novo CASZ1 heterozygous frameshift variant causes dilated cardiomyopathy and left ventricular noncompaction cardiomyopathy. Molecular Genetics & Genomic Medicine. 7(8). e828–e828. 20 indexed citations
9.
Xu, Yufei, Yulin Chen, Niu Li, et al.. (2018). Novel compound heterozygous variants in the LHCGR gene identified in a subject with Leydig cell hypoplasia type 1. Journal of Pediatric Endocrinology and Metabolism. 31(2). 239–245. 9 indexed citations
10.
Gui, Baoheng, Yanning Song, Xuyun Hu, et al.. (2018). Novel pathogenic RECQL4 variants in Chinese patients with Rothmund-Thomson syndrome. Gene. 654. 110–115. 5 indexed citations
11.
12.
Yao, Ruen, Cheng Zhang, Tingting Yu, et al.. (2017). Evaluation of three read-depth based CNV detection tools using whole-exome sequencing data. Molecular Cytogenetics. 10(1). 30–30. 67 indexed citations
13.
Fan, Xin, Chunyun Fu, Yiping Shen, et al.. (2017). Next-generation sequencing analysis of twelve known causative genes in congenital hypothyroidism. Clinica Chimica Acta. 468. 76–80. 41 indexed citations
14.
Luo, Shiyu, Chunyun Fu, Shujie Zhang, et al.. (2017). [Application of SNP-array technology in the genetic analysis of pediatric patients with growth retardation].. PubMed. 34(3). 321–326. 2 indexed citations
15.
Hu, Xuyun, Baoheng Gui, Yufei Xu, et al.. (2017). Prenatal and early diagnosis of Chinese 3-M syndrome patients with novel pathogenic variants. Clinica Chimica Acta. 474. 159–164. 11 indexed citations
16.
Fu, Chunyun, Bobo Xie, Shujie Zhang, et al.. (2016). Mutation screening of the TPO gene in a cohort of 192 Chinese patients with congenital hypothyroidism. BMJ Open. 6(5). e010719–e010719. 22 indexed citations
17.
Fu, Chunyun, Shujie Zhang, Yun Chen, et al.. (2016). Mutation screening of the SLC26A4 gene in a cohort of 192 Chinese patients with congenital hypothyroidism. Archives of Endocrinology and Metabolism. 60(4). 323–327. 12 indexed citations
18.
Zhang, Shujie, Jin Wang, Shiyu Luo, et al.. (2016). Maternal uniparental disomy 14 and mosaic trisomy 14 in a Chinese boy with moderate to severe intellectual disability. Molecular Cytogenetics. 9(1). 66–66. 10 indexed citations
19.
Hu, Xuyun, Rongyu Chen, Chunyun Fu, et al.. (2016). Thyroglobulin gene mutations in Chinese patients with congenital hypothyroidism. Molecular and Cellular Endocrinology. 423. 60–66. 23 indexed citations
20.
Fu, Chunyun, Jin Wang, Shiyu Luo, et al.. (2016). Next-generation sequencing analysis of TSHR in 384 Chinese subclinical congenital hypothyroidism (CH) and CH patients. Clinica Chimica Acta. 462. 127–132. 25 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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