Catriona D. Good
- Cognitive Neuroscience top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Psychiatry and Mental health top 0.5%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- R. S. J. FrackowiakJohn AshburnerIngrid S. JohnsrudeKarl FristonRichard N. HensonEleanor A. MaguireChris FrithDavid G. Gadian
- Topics
- Advanced Neuroimaging Techniques and Applications (8 papers)Functional Brain Connectivity Studies (6 papers)Dementia and Cognitive Impairment Research (5 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Catriona D. Good
49 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Cognitive Neuroscience 5.5k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Psychiatry and Mental health 2.2k
- Neurology 1.2k
- Cellular and Molecular Neuroscience 1.0k
Countries citing papers authored by Catriona D. Good
This map shows the geographic impact of Catriona D. Good'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 Catriona D. Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catriona D. Good more than expected).
Fields of papers citing papers by Catriona D. Good
This network shows the impact of papers produced by Catriona D. Good. 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 Catriona D. Good. The network helps show where Catriona D. Good may publish in the future.
Co-authorship network of co-authors of Catriona D. Good
This figure shows the co-authorship network connecting the top 25 collaborators of Catriona D. Good. A scholar is included among the top collaborators of Catriona D. Good 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 Catriona D. Good. Catriona D. Good is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 72 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 191 | |
| 7 | 44 | |
| 8 | 339 | |
| 9 | 145 | |
| 10 | 218 | |
| 11 | 89 | |
| 12 | 24 | |
| 13 | 349 | |
| 14 | 52 | |
| 15 | Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brainsbreakdown → | 971 |
| 16 | 36 | |
| 17 | 58 | |
| 18 | 13 | |
| 19 | 23 | |
| 20 | 26 |
About Catriona D. Good
Catriona D. Good is a scholar working on Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 10.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (8 papers), Functional Brain Connectivity Studies (6 papers) and Dementia and Cognitive Impairment Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (5.5k citations), Psychiatry and Mental health (2.2k citations) and Radiology, Nuclear Medicine and Imaging (2.8k citations). Catriona D. Good has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include R. S. J. Frackowiak, John Ashburner, Ingrid S. Johnsrude, Karl Friston, Richard N. Henson, Eleanor A. Maguire, Chris Frith, David G. Gadian, M.D. Rugg and Alexa M. Morcom. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and American 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.