Matthew J. McCoy

509 total citations
10 papers, 270 citations indexed

About

Matthew J. McCoy is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew J. McCoy has authored 10 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthew J. McCoy's work include MicroRNA in disease regulation (4 papers), Pluripotent Stem Cells Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Matthew J. McCoy is often cited by papers focused on MicroRNA in disease regulation (4 papers), Pluripotent Stem Cells Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Matthew J. McCoy collaborates with scholars based in United States. Matthew J. McCoy's co-authors include Andrew Fire, Andrew S. Yoo, Daniel G. Abernathy, Xiaoyun Xing, Hyung Joo Lee, Robert O. Heuckeroth, Woo Kyung Kim, Seong Won Lee, Ting Wang and Daofeng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Current Biology.

In The Last Decade

Matthew J. McCoy

10 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew J. McCoy United States	7	197	57	52	37	33	10	270
Nathalie Krusy Belgium	7	232 1.2×	75 1.3×	28 0.5×	42 1.1×	7 0.2×	7	350
Zifei Pei United States	8	174 0.9×	75 1.3×	14 0.3×	79 2.1×	16 0.5×	13	278
Ejona Rusha Germany	6	257 1.3×	24 0.4×	47 0.9×	47 1.3×	9 0.3×	9	309
Alisa Tubsuwan Thailand	13	185 0.9×	59 1.0×	11 0.2×	16 0.4×	31 0.9×	34	288
Stefan Peischard Germany	9	202 1.0×	45 0.8×	11 0.2×	28 0.8×	27 0.8×	16	322
Caroline Erickson United States	5	136 0.7×	27 0.5×	17 0.3×	59 1.6×	10 0.3×	10	265
Nathan H. Blewett United States	11	475 2.4×	34 0.6×	38 0.7×	9 0.2×	6 0.2×	14	557
Rebecca King United States	11	171 0.9×	45 0.8×	10 0.2×	18 0.5×	49 1.5×	17	290
Afnan Azizi Canada	5	261 1.3×	74 1.3×	10 0.2×	14 0.4×	7 0.2×	5	337
Masha Kolesnikov Israel	7	100 0.5×	16 0.3×	13 0.3×	21 0.6×	8 0.2×	7	333

Countries citing papers authored by Matthew J. McCoy

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. McCoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. McCoy

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

All Works

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10 of 10 papers shown

Herbert, Amy L, Corey AH Allard, Matthew J. McCoy, et al.. (2024). Ancient developmental genes underlie evolutionary novelties in walking fish. Current Biology. 34(19). 4339–4348.e6. 1 indexed citations

McCoy, Matthew J. & Andrew Fire. (2024). Parallel gene size and isoform expansion of ancient neuronal genes. Current Biology. 34(8). 1635–1645.e3. 7 indexed citations

Herbert, Amy L, et al.. (2024). Genetic mechanisms of axial patterning in Apeltes quadracus. Evolution Letters. 8(6). 893–901. 1 indexed citations

Liu, Yangjian, et al.. (2021). MiR-124 synergism with ELAVL3 enhances target gene expression to promote neuronal maturity. Proceedings of the National Academy of Sciences. 118(22). 19 indexed citations

Wahba, Lamia, Nimit Jain, Andrew Fire, et al.. (2020). An Extensive Meta-Metagenomic Search Identifies SARS-CoV-2-Homologous Sequences in Pangolin Lung Viromes. mSphere. 5(3). 42 indexed citations

Cates, K. Lynn, Matthew J. McCoy, Yangjian Liu, et al.. (2020). Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs. Cell stem cell. 28(1). 127–140.e9. 41 indexed citations

McCoy, Matthew J. & Andrew Fire. (2020). Intron and gene size expansion during nervous system evolution. BMC Genomics. 21(1). 360–360. 33 indexed citations

McCoy, Matthew J., K. Lynn Cates, Yangjian Liu, et al.. (2019). Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs. SSRN Electronic Journal. 1 indexed citations

McCoy, Matthew J., Matheus B. Victor, Michelle Richner, et al.. (2018). LONGO: an R package for interactive gene length dependent analysis for neuronal identity. Bioinformatics. 34(13). i422–i428. 16 indexed citations

10.

Abernathy, Daniel G., Woo Kyung Kim, Matthew J. McCoy, et al.. (2017). MicroRNAs Induce a Permissive Chromatin Environment that Enables Neuronal Subtype-Specific Reprogramming of Adult Human Fibroblasts. Cell stem cell. 21(3). 332–348.e9. 109 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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