Arthur W. Toga
- Cognitive Neuroscience top 0.01%
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Psychiatry and Mental health top 0.01%
- Physiology top 0.05%
- Molecular Biology top 0.5%
- Co-authors
- Paul M. ThompsonElizabeth R. SowellKiralee M. HayashiKatherine L. NarrMichael W. WeinerClifford R. JackRoger P. WoodsEileen Lüders
- Topics
- Advanced Neuroimaging Techniques and Applications (248 papers)Functional Brain Connectivity Studies (241 papers)Dementia and Cognitive Impairment Research (120 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Arthur W. Toga
794 papers receiving 67.6k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Cognitive Neuroscience 29.5k
- Radiology, Nuclear Medicine and Imaging 19.0k
- Psychiatry and Mental health 16.7k
- Physiology 10.7k
- Molecular Biology 7.6k
Countries citing papers authored by Arthur W. Toga
This map shows the geographic impact of Arthur W. Toga'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 Arthur W. Toga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur W. Toga more than expected).
Fields of papers citing papers by Arthur W. Toga
This network shows the impact of papers produced by Arthur W. Toga. 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 Arthur W. Toga. The network helps show where Arthur W. Toga may publish in the future.
Co-authorship network of co-authors of Arthur W. Toga
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur W. Toga. A scholar is included among the top collaborators of Arthur W. Toga 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 Arthur W. Toga. Arthur W. Toga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 25 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 19 | |
| 6 | 68 | |
| 7 | 48 | |
| 8 | 27 | |
| 9 | 27 | |
| 10 | 18 | |
| 11 | 23 | |
| 12 | 10 | |
| 13 | Genome-wide association identifies genetic variants associated with lentiform nucleus volume in N = 1345 young and elderly subjects | 1 |
| 14 | 367 | |
| 15 | 260 | |
| 16 | Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins | 1 |
| 17 | 207 | |
| 18 | La turbulente dynamique de la matiere grise | 1 |
| 19 | 326 | |
| 20 | Three-dimensional neuroimaging | 47 |
About Arthur W. Toga
Arthur W. Toga is a scholar working on Computational Mathematics, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 805 papers that have together received 69.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (248 papers), Functional Brain Connectivity Studies (241 papers) and Dementia and Cognitive Impairment Research (120 papers). The work is most often cited by research in Cognitive Neuroscience (29.5k citations), Psychiatry and Mental health (16.7k citations) and Neurology (7.2k citations). Arthur W. Toga has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Paul M. Thompson, Elizabeth R. Sowell, Kiralee M. Hayashi, Katherine L. Narr, Michael W. Weiner, Clifford R. Jack, Roger P. Woods, Eileen Lüders, Jay N. Giedd and Suzanne E. Welcome. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.