Gráinne McAlonan
- Cognitive Neuroscience top 0.2%
- Autism Spectrum Disorder Research 48
- Functional Brain Connectivity Studies 29
- Biological Psychiatry top 1%
- Psychiatry and Mental health top 0.5%
- Schizophrenia research and treatment 16
- Attention Deficit Hyperactivity Disorder 12
- Clinical Psychology top 0.5%
- Behavioral Neuroscience top 2%
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- Genetics and Neurodevelopmental Disorders 29
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- Advanced Neuroimaging Techniques and Applications 23
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- Neuroscience and Neuropharmacology Research 12
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- Congenital heart defects research 7
- Co-authors
- Siew E. ChuaVinci CheungPak C. ShamCharlton CheungDeclan MurphyKenneth W. TsangQiyong GongRaymond C. K. Chan
- Journals
- Nature Communications (2 papers)Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United KingdomHong KongChina
In The Last Decade
Gráinne McAlonan
132 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cognitive Neuroscience 4.7k
- Biological Psychiatry 390
- Psychiatry and Mental health 2.1k
- Clinical Psychology 2.6k
- Behavioral Neuroscience 256
Countries citing papers authored by Gráinne McAlonan
This map shows the geographic impact of Gráinne McAlonan'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 Gráinne McAlonan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gráinne McAlonan more than expected).
Fields of papers citing papers by Gráinne McAlonan
This network shows the impact of papers produced by Gráinne McAlonan. 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 Gráinne McAlonan. The network helps show where Gráinne McAlonan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gráinne McAlonan, 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 | 2026 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 36 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 39 | |
| 13 | 2018 | 8 | |
| 14 | 2017 | 183 | |
| 15 | 2014 | 14 | |
| 16 | 2014 | 100 | |
| 17 | 2010 | 51 | |
| 18 | 2009 | 142 | |
| 19 | 2009 | 261 | |
| 20 | 2006 | 156 |
About Gráinne McAlonan
Gráinne McAlonan is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Psychiatry and Mental health, having authored 139 papers that have together received 9.2k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (48 papers), Genetics and Neurodevelopmental Disorders (29 papers), Functional Brain Connectivity Studies (29 papers), Advanced Neuroimaging Techniques and Applications (23 papers), Schizophrenia research and treatment (16 papers), Attention Deficit Hyperactivity Disorder (12 papers), Neuroscience and Neuropharmacology Research (12 papers) and Congenital heart defects research (7 papers). The work is most often cited by research in Cognitive Neuroscience (4.7k citations), Biological Psychiatry (390 citations) and Psychiatry and Mental health (2.1k citations). Gráinne McAlonan has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Siew E. Chua, Vinci Cheung, Pak C. Sham, Charlton Cheung, Declan Murphy, Kenneth W. Tsang, Qiyong Gong, Raymond C. K. Chan, Chung‐Ming Chu and Eileen Daly. Their work appears in journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.