Shannon E. McCarthy
Impact in
- Statistics and Probability top 0.5%
- Cognitive and developmental aspects of mathematical skills
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- Reading and Literacy Development
Papers in
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- Cognitive and developmental aspects of mathematical skills 3
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- Child and Animal Learning Development 1
- Reading and Literacy Development 1
- Co-authors
- Camilla K. Gilmore (3 shared papers)Elizabeth S. Spelke (3 shared papers)Rongjuan Mi (1 shared paper)Felicity Murphy (1 shared paper)Allen C. Cheng (1 shared paper)Maria A. Kukuruzinska (1 shared paper)Michaël Mingueneau (1 shared paper)Aleksander D. Szymaniak (1 shared paper)
- Journals
- Cell (1 paper)Immunity (1 paper)Nature (1 paper)Developmental Science (1 paper)The Medical Journal of Australia (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Shannon E. McCarthy
7 papers receiving 787 citations
Shannon E. McCarthy's Hit Papers
Peers
Comparison fields: 5 of 75
- Statistics and Probability 482
- Developmental and Educational Psychology 223
- Education 387
- Theoretical Computer Science 15
- Cognitive Neuroscience 94
Countries citing papers authored by Shannon E. McCarthy
This map shows the geographic impact of Shannon E. 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 Shannon E. McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon E. McCarthy more than expected).
Fields of papers citing papers by Shannon E. McCarthy
This network shows the impact of papers produced by Shannon E. 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 Shannon E. McCarthy. The network helps show where Shannon E. McCarthy may publish in the future.
Co-authors
The 13 scholars most cited alongside Shannon E. 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 | 2010 | 262 | |
| 2 | Quiescent cancer cells resist T cell attack by forming an immunosuppressive niche Hit paper breakdown → | 2022 | 241 |
| 3 | 2007 | 235 | |
| 4 | 2017 | 36 | |
| 5 | 2011 | 27 | |
| 6 | 2007 | 18 | |
| 7 | 2024 | 2 |
About Shannon E. McCarthy
Shannon E. McCarthy is a scholar working on Statistics and Probability, Developmental and Educational Psychology, Immunology, Rehabilitation and Dermatology, having authored 7 papers that have together received 821 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (3 papers), Mathematics Education and Teaching Techniques (2 papers), Child and Animal Learning Development (1 paper), Contact Dermatitis and Allergies (1 paper), Reading and Literacy Development (1 paper), Spatial Cognition and Navigation (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Statistics and Probability (482 citations), Developmental and Educational Psychology (223 citations), Education (387 citations), Theoretical Computer Science (15 citations) and Cognitive Neuroscience (94 citations). Shannon E. McCarthy has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Camilla K. Gilmore, Elizabeth S. Spelke, Rongjuan Mi, Felicity Murphy, Allen C. Cheng, Maria A. Kukuruzinska, Michaël Mingueneau, Aleksander D. Szymaniak, Catherine Marshall and Taylor L. Reynolds. Their work appears in journals such as Cell, Immunity, Nature, Developmental Science and The Medical Journal of Australia.
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.