Steven J. Mayerl

866 total citations
7 papers, 548 citations indexed

About

Steven J. Mayerl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Steven J. Mayerl has authored 7 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Ophthalmology. Recurrent topics in Steven J. Mayerl's work include Retinal Development and Disorders (4 papers), Photoreceptor and optogenetics research (3 papers) and CRISPR and Genetic Engineering (3 papers). Steven J. Mayerl is often cited by papers focused on Retinal Development and Disorders (4 papers), Photoreceptor and optogenetics research (3 papers) and CRISPR and Genetic Engineering (3 papers). Steven J. Mayerl collaborates with scholars based in United States, Spain and Australia. Steven J. Mayerl's co-authors include Bruce R. Conklin, Yuichiro Miyaoka, Amanda H. Chan, Samantha Cooper, Jennifer R. Berman, Bin Zhang, George Karlin‐Neumann, David M. Gamm, Lindsey D. Jager and Divya Sinha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Development.

In The Last Decade

Steven J. Mayerl

7 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven J. Mayerl United States 6 523 108 92 34 34 7 548
Christine L. Xu United States 10 408 0.8× 61 0.6× 105 1.1× 89 2.6× 13 0.4× 18 454
Wenhan Yu China 13 447 0.9× 82 0.8× 128 1.4× 140 4.1× 21 0.6× 26 601
Chunlong Xu China 14 725 1.4× 34 0.3× 160 1.7× 11 0.3× 18 0.5× 25 787
Jin Jea Sung South Korea 8 461 0.9× 36 0.3× 174 1.9× 7 0.2× 9 0.3× 13 513
Julien Maruotti France 11 567 1.1× 155 1.4× 63 0.7× 117 3.4× 43 1.3× 20 622
Vinod Jaskula-Ranga United States 6 283 0.5× 80 0.7× 23 0.3× 72 2.1× 20 0.6× 6 339
Jeremy M. Hoffmann United States 7 356 0.7× 71 0.7× 84 0.9× 134 3.9× 17 0.5× 10 409
Karen Sophia Park United States 14 421 0.8× 90 0.8× 62 0.7× 203 6.0× 11 0.3× 23 510
Emily C. Troiano United States 6 419 0.8× 35 0.3× 183 2.0× 3 0.1× 19 0.6× 6 527
Xianglian Ge China 12 445 0.9× 23 0.2× 105 1.1× 67 2.0× 2 0.1× 16 477

Countries citing papers authored by Steven J. Mayerl

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Mayerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Mayerl. 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 Steven J. Mayerl. The network helps show where Steven J. Mayerl may publish in the future.

Co-authorship network of co-authors of Steven J. Mayerl

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

All Works

7 of 7 papers shown
1.
Williams, Brittany, Tylor R. Lewis, Steven J. Mayerl, et al.. (2023). Heterogeneity in the progression of retinal pathologies in mice harboring patient mimicking Impg2 mutations. Human Molecular Genetics. 33(5). 448–464. 1 indexed citations
2.
Mayerl, Steven J., et al.. (2023). Re-formation of synaptic connectivity in dissociated human stem cell-derived retinal organoid cultures. Proceedings of the National Academy of Sciences. 120(2). e2213418120–e2213418120. 13 indexed citations
3.
Mayerl, Steven J., Lindsey D. Jager, Brittany Williams, et al.. (2022). Human retinal organoids harboring IMPG2 mutations exhibit a photoreceptor outer segment phenotype that models advanced retinitis pigmentosa. Stem Cell Reports. 17(11). 2409–2420. 14 indexed citations
4.
Capowski, Elizabeth E., Kayvan Samimi, Steven J. Mayerl, et al.. (2018). Reproducibility and staging of 3D human retinal organoids across multiple pluripotent stem cell lines. Development. 146(1). 224 indexed citations
5.
Miyaoka, Yuichiro, Steven J. Mayerl, Amanda H. Chan, & Bruce R. Conklin. (2018). Detection and Quantification of HDR and NHEJ Induced by Genome Editing at Endogenous Gene Loci Using Droplet Digital PCR. Methods in molecular biology. 1768. 349–362. 24 indexed citations
6.
Miyaoka, Yuichiro, Jennifer R. Berman, Samantha Cooper, et al.. (2016). Systematic quantification of HDR and NHEJ reveals effects of locus, nuclease, and cell type on genome-editing. Scientific Reports. 6(1). 23549–23549. 183 indexed citations
7.
Nguyen, Duy, Yuichiro Miyaoka, Luke A. Gilbert, et al.. (2016). Ligand-binding domains of nuclear receptors facilitate tight control of split CRISPR activity. Nature Communications. 7(1). 12009–12009. 89 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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