Katherine Bryant
- Physiology top 2%
- Molecular Biology
- Sociology and Political Science top 2%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Pavica SheldonIvan LieberburgMP MattsonR E RydelBin ChengDavid L. DavisRogier B. MarsSaâd Jbabdi
- Topics
- Advanced Neuroimaging Techniques and Applications (15 papers)Functional Brain Connectivity Studies (9 papers)Neural dynamics and brain function (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United KingdomNetherlandsAustralia
In The Last Decade
Katherine Bryant
42 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Physiology 1.1k
- Molecular Biology 638
- Sociology and Political Science 574
- Cellular and Molecular Neuroscience 557
- Cognitive Neuroscience 396
Countries citing papers authored by Katherine Bryant
This map shows the geographic impact of Katherine Bryant'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 Katherine Bryant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Bryant more than expected).
Fields of papers citing papers by Katherine Bryant
This network shows the impact of papers produced by Katherine Bryant. 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 Katherine Bryant. The network helps show where Katherine Bryant may publish in the future.
Co-authorship network of co-authors of Katherine Bryant
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Bryant. A scholar is included among the top collaborators of Katherine Bryant 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 Katherine Bryant. Katherine Bryant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 27 | |
| 5 | 48 | |
| 6 | 63 | |
| 7 | 19 | |
| 8 | 168 | |
| 9 | 34 | |
| 10 | Feminist interventions on the sex/gender question in neuroimaging research | 4 |
| 11 | Cross-species cortical alignment identifies different types of neuroanatomical reorganization in higher primates | 1 |
| 12 | 24 | |
| 13 | 6 | |
| 14 | 21 | |
| 15 | 19 | |
| 16 | 22 | |
| 17 | 14 | |
| 18 | 27 | |
| 19 | 13 | |
| 20 | 16 |
About Katherine Bryant
Katherine Bryant is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 43 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (15 papers), Functional Brain Connectivity Studies (9 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Physiology (1.1k citations), Cellular and Molecular Neuroscience (557 citations) and Neurology (226 citations). Katherine Bryant has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include Pavica Sheldon, Ivan Lieberburg, MP Mattson, R E Rydel, Bin Cheng, David L. Davis, Rogier B. Mars, Saâd Jbabdi, Nicodemus Tedla and Jérôme Sallet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.