Yi Yu

3.5k total citations
37 papers, 1.8k citations indexed

About

Yi Yu is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, Yi Yu has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Ophthalmology and 10 papers in Genetics. Recurrent topics in Yi Yu's work include Retinal Diseases and Treatments (13 papers), Genetic Associations and Epidemiology (9 papers) and Retinal Imaging and Analysis (8 papers). Yi Yu is often cited by papers focused on Retinal Diseases and Treatments (13 papers), Genetic Associations and Epidemiology (9 papers) and Retinal Imaging and Analysis (8 papers). Yi Yu collaborates with scholars based in United States, China and France. Yi Yu's co-authors include Johanna M. Seddon, Robyn Reynolds, Mark J. Daly, Bernard Rosner, Lindsay A. Farrer, Soumya Raychaudhuri, Henry R. Kranzler, Joel Gelernter, Larry A. Feig and Nicholas Katsanis and has published in prestigious journals such as Science, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Yi Yu

36 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Yu United States 19 1.0k 656 608 349 261 37 1.8k
Nathalie Schnetz‐Boutaud United States 22 2.1k 2.0× 1.3k 1.9× 1.5k 2.5× 606 1.7× 430 1.6× 51 3.6k
Kari Branham United States 26 2.2k 2.2× 1.3k 2.0× 1.6k 2.7× 340 1.0× 412 1.6× 66 3.2k
Karen M. Gehrs United States 21 1.9k 1.9× 1.0k 1.6× 849 1.4× 434 1.2× 83 0.3× 45 2.6k
Benjamin J. Fowler United States 14 847 0.8× 360 0.5× 827 1.4× 230 0.7× 54 0.2× 32 1.7k
Ritu Khanna United States 14 643 0.6× 392 0.6× 917 1.5× 120 0.3× 139 0.5× 20 1.7k
Patrick G. Quinn United States 24 454 0.4× 267 0.4× 831 1.4× 114 0.3× 305 1.2× 38 2.0k
Settimio Rossi Italy 29 1.1k 1.1× 466 0.7× 1.9k 3.1× 163 0.5× 552 2.1× 97 2.7k
Francesco Parmeggiani Italy 24 1.2k 1.2× 615 0.9× 928 1.5× 84 0.2× 118 0.5× 79 1.9k
Sophie Lavalette France 15 1.1k 1.0× 296 0.5× 744 1.2× 331 0.9× 51 0.2× 20 1.7k
Govindasamy Kumaramanickavel India 30 2.2k 2.2× 1.4k 2.1× 1.3k 2.1× 86 0.2× 337 1.3× 108 3.4k

Countries citing papers authored by Yi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Yu. A scholar is included among the top collaborators of Yi 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 Yi Yu. Yi 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
3.
Liu, Fagui, et al.. (2017). Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization. International Journal of Distributed Sensor Networks. 13(6). 812124487–812124487. 1 indexed citations
4.
Yu, Yi, Erin K. Wagner, Eric H. Souied, et al.. (2016). Protective coding variants inCFHandPELI3and a variant nearCTRB1are associated with age-related macular degeneration. Human Molecular Genetics. 25(23). ddw336–ddw336. 16 indexed citations
5.
Triebwasser, Michael, Elisha Roberson, Yi Yu, et al.. (2015). Rare Variants in the Functional Domains of Complement Factor H Are Associated With Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 56(11). 6873–6873. 54 indexed citations
6.
Seddon, Johanna M., Robyn Reynolds, Yi Yu, & Bernard Rosner. (2013). Validation of a Prediction Algorithm for Progression to Advanced Macular Degeneration Subtypes. JAMA Ophthalmology. 131(4). 448–448. 45 indexed citations
7.
Seddon, Johanna M., Yi Yu, Elizabeth C. Miller, et al.. (2013). Rare variants in CFI, C3 and C9 are associated with high risk of advanced age-related macular degeneration. Nature Genetics. 45(11). 1366–1370. 262 indexed citations
8.
Ioannidis, John P. A., Yi Yu, & Johanna M. Seddon. (2012). Correction of Phenotype Misclassification Based on High-Discrimination Genetic Predictive Risk Models. Epidemiology. 23(6). 902–909. 4 indexed citations
9.
Schu, Matthew, Wei Chen, Lars G. Fritsche, Yi Yu, & Brian L. Yaspan. (2012). Meta-analysis Of Genome-wide Association Studies Identifies 19 Loci Associated With AMD Risk. Investigative Ophthalmology & Visual Science. 53(14). 2259–2259. 2 indexed citations
10.
Yu, Yi, Robyn Reynolds, Bernard Rosner, Mark J. Daly, & Johanna M. Seddon. (2012). Prospective Assessment of Genetic Effects on Progression to Different Stages of Age-Related Macular Degeneration Using Multistate Markov Models. Investigative Ophthalmology & Visual Science. 53(3). 1548–1548. 93 indexed citations
11.
Seddon, Johanna M., Robyn Reynolds, Yi Yu, Mark J. Daly, & Bernard Rosner. (2011). Prediction Risk Modeling for Progression to Advanced Age-Related Macular Degeneration Using Baseline Demographic, Environmental, Genetic and Ocular Variables. Investigative Ophthalmology & Visual Science. 52(14). 5235–5235. 2 indexed citations
12.
Raychaudhuri, Soumya, Oleg Iartchouk, Perciliz L. Tan, et al.. (2011). A rare penetrant mutation in CFH confers high risk of age-related macular degeneration. Nature Genetics. 43(12). 1232–1236. 232 indexed citations
13.
Reynolds, Robyn, Yi Yu, Jesen Fagerness, et al.. (2010). ARMS2/HTRA1 Locus Can Confer Differential Susceptibility to the Advanced Subtypes of Age-Related Macular Degeneration. American Journal of Ophthalmology. 151(2). 345–352.e3. 59 indexed citations
14.
Meng, Yan, Yi Yu, L. Adrienne Cupples, Lindsay A. Farrer, & Kathryn L. Lunetta. (2009). Performance of random forest when SNPs are in linkage disequilibrium. BMC Bioinformatics. 10(1). 78–78. 70 indexed citations
15.
Farrer, Lindsay A., Henry R. Kranzler, Yi Yu, et al.. (2009). Association of Variants in MANEA With Cocaine-Related Behaviors. Archives of General Psychiatry. 66(3). 267–267. 16 indexed citations
16.
Yu, Yi, Carolien Panhuysen, Henry R. Kranzler, et al.. (2006). Intronic variants in the dopa decarboxylase ( DDC ) gene are associated with smoking behavior in European-Americans and African-Americans. Human Molecular Genetics. 15(14). 2192–2199. 44 indexed citations
18.
Ma, Qianli, Yi Yu, Yan Meng, et al.. (2005). Genome-wide linkage analysis for alcohol dependence: a comparison between single-nucleotide polymorphism and microsatellite marker assays. BMC Genetics. 6(S1). S8–S8. 4 indexed citations
19.
Meng, Yan, Qianli Ma, Yi Yu, et al.. (2005). Multifactor-dimensionality reduction versus family-based association tests in detecting susceptibility loci in discordant sib-pair studies. BMC Genetics. 6(S1). S146–S146. 3 indexed citations
20.
Yu, Yi & Larry A. Feig. (2002). Involvement of R-Ras and Ral GTPases in estrogen-independent proliferation of breast cancer cells. Oncogene. 21(49). 7557–7568. 47 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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