Fang Fu

1.1k total citations
53 papers, 633 citations indexed

About

Fang Fu is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics. According to data from OpenAlex, Fang Fu has authored 53 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pediatrics, Perinatology and Child Health, 28 papers in Molecular Biology and 20 papers in Genetics. Recurrent topics in Fang Fu's work include Prenatal Screening and Diagnostics (30 papers), Genomic variations and chromosomal abnormalities (14 papers) and Congenital heart defects research (11 papers). Fang Fu is often cited by papers focused on Prenatal Screening and Diagnostics (30 papers), Genomic variations and chromosomal abnormalities (14 papers) and Congenital heart defects research (11 papers). Fang Fu collaborates with scholars based in China, United States and United Kingdom. Fang Fu's co-authors include Dong‐Zhi Li, Can Liao, Xin Yang, Can Liao, Yongling Zhang, Ru Li, Tingying Lei, Min Pan, Xiangyi Jing and Ru Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Fang Fu

48 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Fu China 15 387 286 263 95 95 53 633
Amihood Singer Israel 13 211 0.5× 166 0.6× 179 0.7× 97 1.0× 83 0.9× 40 432
Xiangyi Jing China 13 202 0.5× 171 0.6× 197 0.7× 68 0.7× 52 0.5× 52 410
R. J. H. Galjaard Netherlands 18 454 1.2× 328 1.1× 251 1.0× 217 2.3× 34 0.4× 28 806
Maryse Bonnière France 10 101 0.3× 129 0.5× 260 1.0× 64 0.7× 50 0.5× 19 479
Jun-Wei Su Taiwan 14 353 0.9× 472 1.7× 197 0.7× 106 1.1× 41 0.4× 75 658
Nathalie Leporrier France 15 251 0.6× 167 0.6× 153 0.6× 94 1.0× 11 0.1× 24 478
Maria Carla Pittalis Italy 13 419 1.1× 254 0.9× 132 0.5× 90 0.9× 10 0.1× 26 564
Anita Sik Yau Kan China 12 228 0.6× 203 0.7× 113 0.4× 59 0.6× 62 0.7× 41 492
Mary Ann Thomas Canada 10 126 0.3× 180 0.6× 123 0.5× 45 0.5× 41 0.4× 46 361
Chen‐Wen Pan Taiwan 14 418 1.1× 438 1.5× 136 0.5× 124 1.3× 16 0.2× 68 593

Countries citing papers authored by Fang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Fu. A scholar is included among the top collaborators of Fang Fu 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 Fang Fu. Fang Fu 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
2.
Yan, Shujuan, Qiuxia Yu, Hang Zhou, et al.. (2024). Association of prenatal Cleft Lip and Palate ultrasound abnormalities with copy number variants at a single Chinese tertiary center. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 50(1). 152–152.
3.
Yan, Shujuan, et al.. (2023). Functional analysis of a novel splice site variant in the ASAH1 gene. Molecular Genetics & Genomic Medicine. 12(1). e2317–e2317. 1 indexed citations
4.
Fu, Fang, Ru Li, Jin Han, et al.. (2023). ASXL3 gene mutations inhibit cell proliferation and promote cell apoptosis in mouse cardiomyocytes by upregulating lncRNA NONMMUT063967.2. Biochemistry and Biophysics Reports. 35. 101505–101505. 2 indexed citations
5.
Fu, Fang, Hang Zhou, Lu Zhang, et al.. (2023). Prenatal diagnosis in the fetal hyperechogenic kidneys: assessment using chromosomal microarray analysis and exome sequencing. Human Genetics. 142(6). 835–847. 6 indexed citations
6.
Yan, Shujuan, Fang Fu, Ru Li, et al.. (2023). Exome sequencing improves genetic diagnosis of congenital orofacial clefts. Frontiers in Genetics. 14. 1252823–1252823. 4 indexed citations
7.
Fu, Fang, Ru Li, Qiuxia Yu, et al.. (2022). Prenatal diagnosis of 21 fetuses with balanced chromosomal abnormalities (BCAs) using whole-genome sequencing. Frontiers in Genetics. 13. 951829–951829. 1 indexed citations
8.
Zhou, Hang, Fang Fu, Ru Li, et al.. (2022). The Genetic and Clinical Outcomes in Fetuses With Isolated Fetal Growth Restriction: A Chinese Single-Center Retrospective Study. Frontiers in Genetics. 13. 856522–856522. 9 indexed citations
9.
Zhou, Hang, Fang Fu, You Wang, et al.. (2022). Whole exome sequencing improves genetic diagnosis of fetal clubfoot. Human Genetics. 142(3). 407–418. 8 indexed citations
10.
Zhou, Hang, Fang Fu, Tingying Lei, et al.. (2022). Should prenatal chromosomal microarray analysis be offered for isolated ventricular septal defect? A single-center retrospective study from China. Frontiers in Cardiovascular Medicine. 9. 988438–988438. 6 indexed citations
11.
Li, Ru, Qiuxia Yu, Dan Wang, et al.. (2021). Evaluation of the Z‐score accuracy of noninvasive prenatal testing for fetal trisomies 13, 18 and 21 at a single center. Prenatal Diagnosis. 41(6). 690–696. 22 indexed citations
12.
Li, Lushan, Fang Fu, Ru Li, et al.. (2020). Genetic tests aid in counseling of fetuses with cerebellar vermis defects. Prenatal Diagnosis. 40(10). 1228–1238. 14 indexed citations
13.
Fu, Fang & Li Wang. (2020). Molecular cloning, characterization of JunB in Schizothorax prenanti and its roles in responding to Aeromonas hydrophila infection. International Journal of Biological Macromolecules. 164. 2788–2794. 2 indexed citations
14.
Wang, Rongyue, Tingying Lei, Fang Fu, et al.. (2018). Application of chromosome microarray analysis in patients with unexplained developmental delay/intellectual disability in South China. Pediatrics & Neonatology. 60(1). 35–42. 22 indexed citations
15.
Lei, Tingying, Fang Fu, Ru Li, et al.. (2017). Whole-exome sequencing for prenatal diagnosis of fetuses with congenital anomalies of the kidney and urinary tract. Nephrology Dialysis Transplantation. 32(10). 1665–1675. 50 indexed citations
16.
Lei, Tingying, Hongtao Wang, Fan Li, et al.. (2016). Application of high resolution SNP arrays in patients with congenital oral clefts in south China. Journal of Genetics. 95(4). 801–809. 6 indexed citations
17.
Fu, Fang, Ru Li, Jin Han, et al.. (2014). Prenatal diagnosis of foetuses with congenital abnormalities and duplication of the MECP2 region. Gene. 546(2). 222–225. 13 indexed citations
18.
Wu, Xiaoli, Fang Fu, Ru Li, et al.. (2014). [Clinical value of genome-wide high resolution chromosomal microarray analysis in etiological study of fetuses with congenital heart defects].. PubMed. 49(12). 893–8. 3 indexed citations
19.
Li, Ru, Fang Fu, Yongling Zhang, Dong‐Zhi Li, & Can Liao. (2014). Prenatal diagnosis of 17q12 duplication and deletion syndrome in two fetuses with congenital anomalies. Taiwanese Journal of Obstetrics and Gynecology. 53(4). 579–582. 19 indexed citations
20.
Liao, Can, Fang Fu, & Liang Zhang. (2011). Ring chromosome 13 syndrome characterized by high resolution array based comparative genomic hybridization in patient with 47, XYY syndrome: a case report. Journal of Medical Case Reports. 5(1). 99–99. 15 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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