Ann E. Sizemore
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Mental Health Research Topics
- Psychological and Educational Research Studies
Papers in
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- Protein Degradation and Inhibitors 1
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- Functional Brain Connectivity Studies 3
- Neural dynamics and brain function 1
- Co-authors
- Danielle S. Bassett (6 shared papers)Ankit N. Khambhati (1 shared paper)Richard F. Betzel (1 shared paper)David M. Lydon‐Staley (1 shared paper)Perry Zurn (1 shared paper)Dale Zhou (1 shared paper)Chad Giusti (1 shared paper)Elisabeth A. Karuza (1 shared paper)
- Journals
- NeuroImage (2 papers)Nature Human Behaviour (2 papers)Nature Communications (1 paper)Physical review. E (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Ann E. Sizemore
8 papers receiving 578 citations
Peers
Comparison fields: 5 of 93
- Cognitive Neuroscience 225
- Experimental and Cognitive Psychology 100
- Biophysics 29
- Statistical and Nonlinear Physics 61
- Aging 6
Countries citing papers authored by Ann E. Sizemore
This map shows the geographic impact of Ann E. Sizemore'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 Ann E. Sizemore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann E. Sizemore more than expected).
Fields of papers citing papers by Ann E. Sizemore
This network shows the impact of papers produced by Ann E. Sizemore. 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 Ann E. Sizemore. The network helps show where Ann E. Sizemore may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann E. Sizemore, 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 | 2020 | 126 | |
| 2 | 2017 | 117 | |
| 3 | 2018 | 94 | |
| 4 | 2017 | 88 | |
| 5 | 2020 | 68 | |
| 6 | 2018 | 50 | |
| 7 | 2022 | 32 | |
| 8 | 2020 | 7 |
About Ann E. Sizemore
Ann E. Sizemore is a scholar working on Molecular Biology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 8 papers that have together received 582 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (3 papers), Mental Health Research Topics (2 papers), Complex Network Analysis Techniques (2 papers), Topological and Geometric Data Analysis (2 papers), Protein Degradation and Inhibitors (1 paper), Neural dynamics and brain function (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Psychological and Educational Research Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (225 citations), Experimental and Cognitive Psychology (100 citations), Biophysics (29 citations), Statistical and Nonlinear Physics (61 citations) and Aging (6 citations). Ann E. Sizemore has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Danielle S. Bassett, Ankit N. Khambhati, Richard F. Betzel, David M. Lydon‐Staley, Perry Zurn, Dale Zhou, Chad Giusti, Elisabeth A. Karuza, Rohit Gupte and Christopher Coté. Their work appears in journals such as NeuroImage, Nature Human Behaviour, Nature Communications, Physical review. E and Cell.
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.