Aaron Gordon

1.5k total citations · 1 hit paper
8 papers, 792 citations indexed

About

Aaron Gordon is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Aaron Gordon has authored 8 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 3 papers in Genetics. Recurrent topics in Aaron Gordon's work include Autism Spectrum Disorder Research (4 papers), Pluripotent Stem Cells Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Aaron Gordon is often cited by papers focused on Autism Spectrum Disorder Research (4 papers), Pluripotent Stem Cells Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Aaron Gordon collaborates with scholars based in United States and Denmark. Aaron Gordon's co-authors include Daniel H. Geschwind, Sergiu P. Pașca, John R. Huguenard, Se‐Jin Yoon, Omer Revah, Anca M. Pașca, Alfredo M. Valencia, Yuki Miura, H. Christina Fan and Elisabeth M. Walczak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Neuroscience.

In The Last Decade

Aaron Gordon

8 papers receiving 787 citations

Hit Papers

Long-term maturation of human cortical organoids matches ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Gordon United States 8 569 168 166 165 141 8 792
Lauren Provini United States 7 614 1.1× 180 1.1× 155 0.9× 141 0.9× 154 1.1× 9 849
Jonas Simon Fleck Switzerland 9 724 1.3× 123 0.7× 144 0.9× 90 0.5× 88 0.6× 11 895
Bruna Paulsen Brazil 9 823 1.4× 283 1.7× 221 1.3× 207 1.3× 81 0.6× 15 1.1k
Stefano L. Giandomenico Germany 8 690 1.2× 261 1.6× 208 1.3× 235 1.4× 91 0.6× 9 965
Galina Schmunk United States 9 483 0.8× 86 0.5× 103 0.6× 115 0.7× 156 1.1× 11 734
Neal D. Amin United States 11 596 1.0× 242 1.4× 185 1.1× 236 1.4× 98 0.7× 14 906
Angela Maria Peer Austria 7 455 0.8× 138 0.8× 116 0.7× 91 0.6× 63 0.4× 7 586
Arianna Mei United States 10 509 0.9× 105 0.6× 118 0.7× 177 1.1× 54 0.4× 14 770
Justin Buchanan United States 5 405 0.7× 155 0.9× 98 0.6× 221 1.3× 138 1.0× 6 674
Min-Yin Li United States 8 433 0.8× 189 1.1× 121 0.7× 244 1.5× 123 0.9× 9 689

Countries citing papers authored by Aaron Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Gordon

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

All Works

8 of 8 papers shown
1.
Cirnigliaro, Matilde, Timothy S. Chang, Laura Pérez‐Cano, et al.. (2023). The contributions of rare inherited and polygenic risk to ASD in multiplex families. Proceedings of the National Academy of Sciences. 120(31). e2215632120–e2215632120. 44 indexed citations
2.
Birey, Fikri, Min-Yin Li, Aaron Gordon, et al.. (2022). Dissecting the molecular basis of human interneuron migration in forebrain assembloids from Timothy syndrome. Cell stem cell. 29(2). 248–264.e7. 91 indexed citations
3.
Gordon, Aaron, Se‐Jin Yoon, Stephen Tran, et al.. (2021). Long-term maturation of human cortical organoids matches key early postnatal transitions. Nature Neuroscience. 24(3). 331–342. 228 indexed citations breakdown →
4.
Gordon, Aaron & Daniel H. Geschwind. (2020). Human in vitro models for understanding mechanisms of autism spectrum disorder. Molecular Autism. 11(1). 23 indexed citations
5.
Gordon, Aaron, Ib Vestergaard Klewe, Jacob Nielsen, et al.. (2019). Transcriptomic networks implicate neuronal energetic abnormalities in three mouse models harboring autism and schizophrenia-associated mutations. Molecular Psychiatry. 26(5). 1520–1534. 22 indexed citations
6.
Gordon, Aaron, et al.. (2019). CYFIP1 overexpression increases fear response in mice but does not affect social or repetitive behavioral phenotypes. Molecular Autism. 10(1). 25–25. 17 indexed citations
7.
Yoon, Se‐Jin, Anca M. Pașca, Rebecca M. Marton, et al.. (2018). Reliability of human cortical organoid generation. Nature Methods. 16(1). 75–78. 310 indexed citations
8.
Wu, Xiaogang, Taek‐Kyun Kim, David Baxter, et al.. (2017). sRNAnalyzer—a flexible and customizable small RNA sequencing data analysis pipeline. Nucleic Acids Research. 45(21). 12140–12151. 57 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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