John Suckling
- Cognitive Neuroscience top 0.02%
- Functional Brain Connectivity Studies 159
- Autism Spectrum Disorder Research 33
- Neural dynamics and brain function 32
- Neural and Behavioral Psychology Studies 26
- Psychiatry and Mental health top 0.1%
- Schizophrenia research and treatment 40
- Biological Psychiatry top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Advanced Neuroimaging Techniques and Applications 84
- Advanced MRI Techniques and Applications 41
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- Mental Health Research Topics 21
- Co-authors
- Edward T. BullmoreRaymond SalvadorSteven WilliamsSimon Baron‐CohenBrandon WhitcherSophie AchardMichael BrammerMichael Lombardo
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
John Suckling
339 papers receiving 25.5k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Cognitive Neuroscience 15.7k
- Psychiatry and Mental health 6.1k
- Biological Psychiatry 778
- Radiology, Nuclear Medicine and Imaging 7.1k
- Experimental and Cognitive Psychology 3.5k
Countries citing papers authored by John Suckling
This map shows the geographic impact of John Suckling'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 John Suckling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Suckling more than expected).
Fields of papers citing papers by John Suckling
This network shows the impact of papers produced by John Suckling. 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 John Suckling. The network helps show where John Suckling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Suckling, 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 | 2023 | 14 | |
| 2 | 2023 | 23 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 23 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 62 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 57 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 64 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 19 | |
| 15 | 2019 | 34 | |
| 16 | 2019 | 7 | |
| 17 | 2013 | 83 | |
| 18 | 2008 | 99 | |
| 19 | 2004 | 90 | |
| 20 | Verbal Fluency in Twins with Schizophrenia: An fMRI Study | 2001 | 1 |
About John Suckling
John Suckling is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Psychiatry and Mental health, having authored 352 papers that have together received 26.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (159 papers), Advanced Neuroimaging Techniques and Applications (84 papers), Advanced MRI Techniques and Applications (41 papers), Schizophrenia research and treatment (40 papers), Autism Spectrum Disorder Research (33 papers), Neural dynamics and brain function (32 papers), Neural and Behavioral Psychology Studies (26 papers) and Mental Health Research Topics (21 papers). The work is most often cited by research in Cognitive Neuroscience (15.7k citations), Psychiatry and Mental health (6.1k citations) and Biological Psychiatry (778 citations). John Suckling has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Edward T. Bullmore, Raymond Salvador, Steven Williams, Simon Baron‐Cohen, Brandon Whitcher, Sophie Achard, Michael Brammer, Michael Lombardo, Meng‐Chuan Lai and Cynthia H.Y. Fu. Their work appears in journals such as NeuroImage, Human Brain Mapping, Schizophrenia Research, Biological Psychiatry and The British Journal of Psychiatry.
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.