Fuli Yu

60.1k total citations
41 papers, 1.5k citations indexed

About

Fuli Yu is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Fuli Yu has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 20 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in Fuli Yu's work include Genomics and Rare Diseases (12 papers), Genetic Associations and Epidemiology (11 papers) and Genomics and Phylogenetic Studies (11 papers). Fuli Yu is often cited by papers focused on Genomics and Rare Diseases (12 papers), Genetic Associations and Epidemiology (11 papers) and Genomics and Phylogenetic Studies (11 papers). Fuli Yu collaborates with scholars based in United States, China and Taiwan. Fuli Yu's co-authors include Richard A. Gibbs, Cristian Coarfa, Jin Yu, Aleksandar Milosavljevic, Donna M. Muzny, Eric Boerwinkle, Uday S. Evani, Danny Challis, Andrew R. Jackson and Sameer Paithankar and has published in prestigious journals such as Science, Nature Genetics and Blood.

In The Last Decade

Fuli Yu

40 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuli Yu United States 22 756 694 265 176 107 41 1.5k
Michael N. Edmonson United States 17 413 0.5× 922 1.3× 109 0.4× 219 1.2× 165 1.5× 26 1.5k
Alberto Magi Italy 25 683 0.9× 1.1k 1.6× 68 0.3× 466 2.6× 61 0.6× 86 2.0k
Wanding Zhou United States 24 421 0.6× 1.8k 2.5× 134 0.5× 414 2.4× 55 0.5× 60 2.4k
Jeff Vierstra United States 13 520 0.7× 1.8k 2.6× 115 0.4× 244 1.4× 129 1.2× 20 2.2k
Chenhui Ding China 23 388 0.5× 1.3k 1.8× 413 1.6× 124 0.7× 21 0.2× 79 1.9k
Vasily Ramensky Russia 15 986 1.3× 1.7k 2.4× 55 0.2× 199 1.1× 79 0.7× 39 2.5k
Patrick Tarpey United Kingdom 23 496 0.7× 1.0k 1.5× 55 0.2× 336 1.9× 68 0.6× 55 2.0k
Allison Piovesan Italy 17 261 0.3× 984 1.4× 89 0.3× 264 1.5× 41 0.4× 40 1.6k
Peter Krawitz Germany 30 1.3k 1.7× 2.1k 3.0× 113 0.4× 291 1.7× 136 1.3× 105 3.5k
Matthew N. Bainbridge United States 30 1.3k 1.8× 2.4k 3.5× 180 0.7× 595 3.4× 75 0.7× 62 3.8k

Countries citing papers authored by Fuli Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fuli Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuli Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fuli Yu. A scholar is included among the top collaborators of Fuli Yu 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 Fuli Yu. Fuli Yu 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.
Liu, Mengmeng, Hongqian Liu, Desheng Liang, et al.. (2020). REDBot: Natural language process methods for clinical copy number variation reporting in prenatal and products of conception diagnosis. Molecular Genetics & Genomic Medicine. 8(11). e1488–e1488. 4 indexed citations
2.
Cram, David S., Hu Tan, Siyuan Linpeng, et al.. (2019). Clinical utility of noninvasive prenatal screening for expanded chromosome disease syndromes. Genetics in Medicine. 21(9). 1998–2006. 167 indexed citations
3.
Onuchic, Vitor, Ronak Y. Patel, Joel Rozowsky, et al.. (2018). Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci. Science. 361(6409). 58 indexed citations
4.
Rustagi, Navin, Anbo Zhou, W. Scott Watkins, et al.. (2017). Extremely low-coverage whole genome sequencing in South Asians captures population genomics information. BMC Genomics. 18(1). 396–396. 15 indexed citations
5.
Morrison, Alanna C., Zhuoyi Huang, Bing Yu, et al.. (2017). Practical Approaches for Whole-Genome Sequence Analysis of Heart- and Blood-Related Traits. The American Journal of Human Genetics. 100(2). 205–215. 26 indexed citations
6.
Huang, Zhuoyi, Navin Rustagi, Narayanan Veeraraghavan, et al.. (2016). A hybrid computational strategy to address WGS variant analysis in >5000 samples. BMC Bioinformatics. 17(1). 361–361. 5 indexed citations
7.
Song, Jaewoo, John S. Preisser, Katie Houck, et al.. (2016). Association of Single Nucleotide Polymorphisms in the ST3GAL4 Gene with VWF Antigen and Factor VIII Activity. PLoS ONE. 11(9). e0160757–e0160757. 10 indexed citations
8.
Wang, Min, Christine R. Beck, Adam C. English, et al.. (2015). PacBio-LITS: a large-insert targeted sequencing method for characterization of human disease-associated chromosomal structural variations. BMC Genomics. 16(1). 214–214. 54 indexed citations
9.
Challis, Danny, Lilian Antunes, Erik Garrison, et al.. (2015). The distribution and mutagenesis of short coding INDELs from 1,128 whole exomes. BMC Genomics. 16(1). 143–143. 9 indexed citations
10.
Zhou, Zhou, Fuli Yu, Ashley Buchanan, et al.. (2014). Possible Race and Gender Divergence in Association of Genetic Variations with Plasma von Willebrand Factor: A Study of ARIC and 1000 Genome Cohorts. PLoS ONE. 9(1). e84810–e84810. 19 indexed citations
11.
Li, Alexander, Xiaoming Liu, Alanna C. Morrison, et al.. (2013). Whole-genome sequence–based analysis of high-density lipoprotein cholesterol. Nature Genetics. 45(8). 899–901. 91 indexed citations
12.
Wang, Yibin, James T. Lu, Jin Yu, Richard A. Gibbs, & Fuli Yu. (2013). An integrative variant analysis pipeline for accurate genotype/haplotype inference in population NGS data. Genome Research. 23(5). 833–842. 65 indexed citations
13.
Lotta, Luca A., Mark L. Wang, Jin Yu, et al.. (2012). Identification of genetic risk variants for deep vein thrombosis by multiplexed next-generation sequencing of 186 hemostatic/pro-inflammatory genes. BMC Medical Genomics. 5(1). 7–7. 29 indexed citations
14.
Challis, Danny, Jin Yu, Uday S. Evani, et al.. (2012). An integrative variant analysis suite for whole exome next-generation sequencing data. BMC Bioinformatics. 13(1). 8–8. 160 indexed citations
15.
Fawcett, Gloria L., Muthuswamy Raveendran, David Rio Deiros, et al.. (2011). Characterization of single-nucleotide variation in Indian-origin rhesus macaques (Macaca mulatta). BMC Genomics. 12(1). 311–311. 26 indexed citations
16.
Coarfa, Cristian, Fuli Yu, Christopher A. Miller, et al.. (2010). Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massively parallel DNA sequencing. BMC Bioinformatics. 11(1). 572–572. 37 indexed citations
17.
Xing, Jinchuan, W. Scott Watkins, Ya Hu, et al.. (2010). Genetic diversity in India and the inference of Eurasian population expansion. Genome biology. 11(11). R113–R113. 54 indexed citations
18.
Yu, Fuli, Alon Keinan, Hua Chen, et al.. (2009). Detecting natural selection by empirical comparison to random regions of the genome. Human Molecular Genetics. 18(24). 4853–4867. 23 indexed citations
19.
Shen, Yufeng, Cristian Coarfa, Rafal Drabek, et al.. (2009). A SNP discovery method to assess variant allele probability from next-generation resequencing data. Genome Research. 20(2). 273–280. 126 indexed citations
20.
Yu, Fuli, Pardis C. Sabeti, Paul Hardenbol, et al.. (2005). Positive Selection of a Pre-Expansion CAG Repeat of the Human SCA2 Gene. PLoS Genetics. 1(3). e41–e41. 39 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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