Winton Moy

924 total citations
9 papers, 314 citations indexed

About

Winton Moy is a scholar working on Molecular Biology, Genetics and Biological Psychiatry. According to data from OpenAlex, Winton Moy has authored 9 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Biological Psychiatry. Recurrent topics in Winton Moy's work include Genomics and Chromatin Dynamics (3 papers), Pluripotent Stem Cells Research (2 papers) and Genetic Associations and Epidemiology (2 papers). Winton Moy is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Pluripotent Stem Cells Research (2 papers) and Genetic Associations and Epidemiology (2 papers). Winton Moy collaborates with scholars based in United States, Netherlands and Philippines. Winton Moy's co-authors include Jubao Duan, Jianxin Shi, Alan R. Sanders, Deli He, Pablo V. Gejman, Eugene Drigalenko, Heather McGowan, Daniel Schwartz, Zhiping P. Pang and Pablo V. Gejman and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Cell stem cell.

In The Last Decade

Winton Moy

8 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Winton Moy United States	6	231	121	51	40	25	9	314
Alpha Diallo Canada	7	175 0.8×	81 0.7×	64 1.3×	16 0.4×	19 0.8×	8	256
Qingtuan Meng China	9	166 0.7×	60 0.5×	39 0.8×	12 0.3×	32 1.3×	12	272
Jenny Blechingberg Denmark	10	294 1.3×	67 0.6×	28 0.5×	9 0.2×	34 1.4×	18	388
Gavin J Sutton Australia	4	340 1.5×	186 1.5×	34 0.7×	9 0.2×	15 0.6×	7	434
Nadja S. Andrade United States	8	172 0.7×	51 0.4×	13 0.3×	17 0.4×	46 1.8×	12	253
Martina Steinmaurer Germany	5	250 1.1×	51 0.4×	123 2.4×	13 0.3×	17 0.7×	5	298
Men Chee Tan Australia	4	263 1.1×	45 0.4×	106 2.1×	13 0.3×	22 0.9×	5	321
Tiffany Eulalio United States	5	194 0.8×	80 0.7×	20 0.4×	9 0.2×	14 0.6×	8	270
Stacie L. Taylor United States	8	84 0.4×	197 1.6×	58 1.1×	16 0.4×	41 1.6×	10	361
Luigi Citrigno Italy	11	160 0.7×	50 0.4×	38 0.7×	10 0.3×	78 3.1×	31	356

Countries citing papers authored by Winton Moy

Since Specialization

Citations

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

Fields of papers citing papers by Winton Moy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winton Moy

This figure shows the co-authorship network connecting the top 25 collaborators of Winton Moy. A scholar is included among the top collaborators of Winton Moy 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 Winton Moy. Winton Moy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Zhang, Siwei, Winton Moy, Hanwen Zhang, et al.. (2019). LANDSCAPE OF ALLELE-SPECIFIC OPEN CHROMATIN IN HUMAN IPSC-DIFFERENTIATED NEURONS AND IT IMPLICATION FOR MENTAL DISORDERS. European Neuropsychopharmacology. 29. S799–S800. 1 indexed citations

Zhang, Siwei, Winton Moy, Hanwen Zhang, et al.. (2018). Open chromatin dynamics reveals stage-specific transcriptional networks in hiPSC-based neurodevelopmental model. Stem Cell Research. 29. 88–98. 16 indexed citations

Forrest, Marc P., Hanwen Zhang, Winton Moy, et al.. (2017). Open Chromatin Profiling in hiPSC-Derived Neurons Prioritizes Functional Noncoding Psychiatric Risk Variants and Highlights Neurodevelopmental Loci. Cell stem cell. 21(3). 305–318.e8. 80 indexed citations

Sanders, Alan R., Eugene Drigalenko, Jubao Duan, et al.. (2017). Transcriptome sequencing study implicates immune-related genes differentially expressed in schizophrenia: new data and a meta-analysis. Translational Psychiatry. 7(4). e1093–e1093. 42 indexed citations

Duan, Jubao, Hanwen Zhang, Marc P. Forrest, et al.. (2017). Open Chromatin Dynamics In Ipsc-Derived Neurons And CRISPR/CAS9 Editing of open Chromatin Sequences At The MIR137 Schizophrenia Risk Locus Alters Synapto-Dendritic Architecture. European Neuropsychopharmacology. 27. S429–S430.

Duan, Jubao, Alan R. Sanders, Winton Moy, et al.. (2015). Transcriptome outlier analysis implicates schizophrenia susceptibility genes and enriches putatively functional rare genetic variants. Human Molecular Genetics. 24(16). 4674–4685. 4 indexed citations

He, Deli, et al.. (2014). MicroRNA-9 and MicroRNA-326 Regulate Human Dopamine D2 Receptor Expression, and the MicroRNA-mediated Expression Regulation Is Altered by a Genetic Variant. Journal of Biological Chemistry. 289(19). 13434–13444. 50 indexed citations

Sanders, Alan R., Harald H.H. Göring, Jubao Duan, et al.. (2013). Transcriptome study of differential expression in schizophrenia. Human Molecular Genetics. 22(24). 5001–5014. 63 indexed citations

Duan, Jubao, Jianxin Shi, Xijin Ge, et al.. (2013). Genome-wide survey of interindividual differences of RNA stability in human lymphoblastoid cell lines. Scientific Reports. 3(1). 1318–1318. 58 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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