Shane McCarthy
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Biological Psychiatry top 10%
Papers in
-
- Congenital heart defects research 3
- Pluripotent Stem Cells Research 3
- Genetics 9
- Genomic variations and chromosomal abnormalities 4
- Genetic Associations and Epidemiology 3
- Genetics and Neurodevelopmental Disorders 3
- Genomics and Rare Diseases 2
- Co-authors
- Jonathan Sebat (8 shared papers)Kristen Brennand (4 shared papers)Yan Li (1 shared paper)Chelsea Gelboin-Burkhart (1 shared paper)Gong Chen (1 shared paper)Anthony Simone (1 shared paper)Diana Yu (1 shared paper)Ngoc Tran (1 shared paper)
- Journals
- Schizophrenia (2 papers)Schizophrenia Bulletin (1 paper)European Journal of Human Genetics (1 paper)Nature (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Shane McCarthy
15 papers receiving 1.4k citations
Shane McCarthy's Hit Papers
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 155
- Biological Psychiatry 58
- Aging 35
- Cellular and Molecular Neuroscience 324
- Genetics 458
Countries citing papers authored by Shane McCarthy
This map shows the geographic impact of Shane McCarthy'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 Shane McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane McCarthy more than expected).
Fields of papers citing papers by Shane McCarthy
This network shows the impact of papers produced by Shane McCarthy. 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 Shane McCarthy. The network helps show where Shane McCarthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Shane McCarthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Modelling schizophrenia using human induced pluripotent stem cells Hit paper breakdown → | 2011 | 985 |
| 2 | 2009 | 180 | |
| 3 | 2011 | 89 | |
| 4 | 2010 | 74 | |
| 5 | 2015 | 40 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 15 | |
| 8 | 2020 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2019 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2019 | 0 |
About Shane McCarthy
Shane McCarthy is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Cognitive Neuroscience and Epidemiology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Genetic Associations and Epidemiology (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Congenital heart defects research (3 papers), Pluripotent Stem Cells Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Autism Spectrum Disorder Research (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (155 citations), Biological Psychiatry (58 citations), Aging (35 citations), Cellular and Molecular Neuroscience (324 citations) and Genetics (458 citations). Shane McCarthy has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jonathan Sebat, Kristen Brennand, Yan Li, Chelsea Gelboin-Burkhart, Gong Chen, Anthony Simone, Diana Yu, Ngoc Tran, Fred H. Gage and Yangling Mu. Their work appears in journals such as Schizophrenia, Schizophrenia Bulletin, European Journal of Human Genetics, Nature and Trends in Genetics.
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.