Marco A. Azaro

751 total citations
25 papers, 504 citations indexed

About

Marco A. Azaro is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Marco A. Azaro has authored 25 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Genetics and 6 papers in Cognitive Neuroscience. Recurrent topics in Marco A. Azaro's work include Genetics and Neurodevelopmental Disorders (7 papers), Autism Spectrum Disorder Research (6 papers) and Genetic Associations and Epidemiology (5 papers). Marco A. Azaro is often cited by papers focused on Genetics and Neurodevelopmental Disorders (7 papers), Autism Spectrum Disorder Research (6 papers) and Genetic Associations and Epidemiology (5 papers). Marco A. Azaro collaborates with scholars based in United States, Canada and Czechia. Marco A. Azaro's co-authors include Arthur Landy, Simone E. Nunes-Düby, Linda M. Brzustowicz, Honghua Li, Steven Buyske, Guohong Hu, Tom Ellenberger, Judy F. Flax, Hui‐Yun Wang and Christopher W. Bartlett and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Marco A. Azaro

25 papers receiving 491 citations

Peers

Marco A. Azaro
Marie Drottar United States
Uma Bai United States
S. Timothy Motley United States
Jaeho Seol South Korea
Shundi Shi United States
Robert Padilla United States
Jan L. A. Voskuil Netherlands
Marco A. Azaro
Citations per year, relative to Marco A. Azaro Marco A. Azaro (= 1×) peers Kazuko Miyakawa

Countries citing papers authored by Marco A. Azaro

Since Specialization
Citations

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

Fields of papers citing papers by Marco A. Azaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco A. Azaro. 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 Marco A. Azaro. The network helps show where Marco A. Azaro may publish in the future.

Co-authorship network of co-authors of Marco A. Azaro

This figure shows the co-authorship network connecting the top 25 collaborators of Marco A. Azaro. A scholar is included among the top collaborators of Marco A. Azaro 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 Marco A. Azaro. Marco A. Azaro 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.
Cao, Xiaolong, Anbo Zhou, Marco A. Azaro, et al.. (2023). Structural Variations Contribute to the Genetic Etiology of Autism Spectrum Disorder and Language Impairments. International Journal of Molecular Sciences. 24(17). 13248–13248. 1 indexed citations
2.
Zhou, Anbo, Xiaolong Cao, Marco A. Azaro, et al.. (2022). Common genetic risk factors in ASD and ADHD co-occurring families. Human Genetics. 142(2). 217–230. 13 indexed citations
3.
Moreau, Michael, Marco A. Azaro, Stephen K. Siecinski, et al.. (2018). Validation of a microRNA target site polymorphism in H3F3B that is potentially associated with a broad schizophrenia phenotype. PLoS ONE. 13(3). e0194233–e0194233. 4 indexed citations
4.
Walters, Kimberly A., Yungui Huang, Marco A. Azaro, et al.. (2014). Meta-Analysis of Repository Data: Impact of Data Regularization on NIMH Schizophrenia Linkage Results. PLoS ONE. 9(1). e84696–e84696. 1 indexed citations
5.
Vieland, Veronica J., Kimberly A. Walters, Marco A. Azaro, Linda M. Brzustowicz, & Thomas Lehner. (2014). The Value of Regenotyping Older Linkage Data Sets with Denser Marker Panels. Human Heredity. 78(1). 9–16. 4 indexed citations
6.
Vieland, Veronica J., Kimberly A. Walters, Thomas Lehner, et al.. (2013). Revisiting Schizophrenia Linkage Data in the NIMH Repository: Reanalysis of Regularized Data Across Multiple Studies. American Journal of Psychiatry. 171(3). 350–359. 5 indexed citations
7.
Hou, Liping, Christopher Phillips, Marco A. Azaro, Linda M. Brzustowicz, & Christopher W. Bartlett. (2011). Validation of a Cost-Efficient Multi-Purpose SNP Panel for Disease Based Research. PLoS ONE. 6(5). e19699–e19699. 7 indexed citations
8.
Flax, Judy F., Marco A. Azaro, Laura M. Justice, et al.. (2010). Increasing Genotype-Phenotype Model Determinism: Application to Bivariate Reading/Language Traits and Epistatic Interactions in Language-Impaired Families. Human Heredity. 70(4). 232–244. 20 indexed citations
9.
Luo, Minjie, Xiangfeng Cui, David Fredman, et al.. (2009). Genetic Structures of Copy Number Variants Revealed by Genotyping Single Sperm. PLoS ONE. 4(4). e5236–e5236. 2 indexed citations
10.
Huang, Yungui, Paul G. Matteson, Marco A. Azaro, et al.. (2009). Identification of a Schizophrenia-Associated Functional Noncoding Variant in NOS1AP. American Journal of Psychiatry. 166(4). 434–441. 57 indexed citations
11.
Hu, Guohong, Qifeng Yang, Xiangfeng Cui, et al.. (2008). A highly sensitive and specific system for large-scale gene expression profiling. BMC Genomics. 9(1). 9–9. 8 indexed citations
12.
Yue, Gang, Marco A. Azaro, Qifeng Yang, et al.. (2008). Lipopolysaccharide (LPS) potentiates hydrogen peroxide toxicity in T98G astrocytoma cells by suppression of anti-oxidative and growth factor gene expression. BMC Genomics. 9(1). 608–608. 6 indexed citations
13.
Hazelbaker, Dane Z., Marco A. Azaro, & Arthur Landy. (2008). A Biotin Interference Assay Highlights Two Different Asymmetric Interaction Profiles for λ Integrase Arm-type Binding Sites in Integrative Versus Excisive Recombination. Journal of Biological Chemistry. 283(18). 12402–12414. 14 indexed citations
14.
Hu, Guohong, Hui‐Yun Wang, Danielle M. Greenawalt, et al.. (2006). AccuTyping: new algorithms for automated analysis of data from high-throughput genotyping with oligonucleotide microarrays. Nucleic Acids Research. 34(17). e116–e116. 14 indexed citations
15.
Greenawalt, Danielle M., Xiangfeng Cui, Yujun Wu, et al.. (2005). Strong correlation between meiotic crossovers and haplotype structure in a 2.5-Mb region on the long arm of chromosome 21. Genome Research. 16(2). 208–214. 23 indexed citations
16.
Wang, Hui‐Yun, Minjie Luo, Xiangfeng Cui, et al.. (2005). A genotyping system capable of simultaneously analyzing >1000 single nucleotide polymorphisms in a haploid genome. Genome Research. 15(2). 276–283. 51 indexed citations
17.
Radman‐Livaja, Marta, Christine J. Shaw, Marco A. Azaro, et al.. (2003). Arm Sequences Contribute to the Architecture and Catalytic Function of a λ Integrase-Holliday Junction Complex. Molecular Cell. 11(3). 783–794. 27 indexed citations
18.
Sarkar, Dibyendu, Marco A. Azaro, Hideki Aihara, et al.. (2002). Differential Affinity and Cooperativity Functions of the Amino-terminal 70 Residues of λ Integrase. Journal of Molecular Biology. 324(4). 775–789. 29 indexed citations
19.
Azaro, Marco A.. (1997). The isomeric preference of Holliday junctions influences resolution bias by lambda integrase. The EMBO Journal. 16(12). 3744–3755. 53 indexed citations
20.
Nunes-Düby, Simone E., Marco A. Azaro, & Arthur Landy. (1995). Swapping DNA strands and sensing homology without branch migration in λ site-specific recombination. Current Biology. 5(2). 139–148. 87 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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