Anna Shpektor
Impact in
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Neurobiology of Language and Bilingualism
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
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- Language, Metaphor, and Cognition
Papers in
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- Neural dynamics and brain function 4
- Memory and Neural Mechanisms 3
- EEG and Brain-Computer Interfaces 2
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- Neuroscience and Neuropharmacology Research 2
- Nerve injury and regeneration 1
- Co-authors
- Matteo Feurra (4 shared papers)Andriy Myachykov (1 shared paper)Yury Shtyrov (1 shared paper)Nikola Vukovic (1 shared paper)Renée S. Koolschijn (2 shared papers)Helen C. Barron (2 shared papers)David Dupret (2 shared papers)Jill X. O’Reilly (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Nature Communications (1 paper)Frontiers in Aging Neuroscience (1 paper)Neuropsychologia (1 paper)Cell (1 paper)
- Partner nations
- United KingdomRussiaItaly
In The Last Decade
Anna Shpektor
8 papers receiving 276 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 203
- Experimental and Cognitive Psychology 70
- Social Psychology 100
- Developmental and Educational Psychology 45
- Cellular and Molecular Neuroscience 57
Countries citing papers authored by Anna Shpektor
This map shows the geographic impact of Anna Shpektor'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 Anna Shpektor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Shpektor more than expected).
Fields of papers citing papers by Anna Shpektor
This network shows the impact of papers produced by Anna Shpektor. 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 Anna Shpektor. The network helps show where Anna Shpektor may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Shpektor, 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 | 2017 | 113 | |
| 2 | 2020 | 101 | |
| 3 | 2021 | 27 | |
| 4 | 2019 | 26 | |
| 5 | 2017 | 7 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 1 | |
| 8 | 2017 | 1 |
About Anna Shpektor
Anna Shpektor is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Social Psychology and Polymers and Plastics, having authored 8 papers that have together received 277 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (3 papers), Transcranial Magnetic Stimulation Studies (3 papers), EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Muscle activation and electromyography studies (1 paper), Nerve injury and regeneration (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Cognitive Neuroscience (203 citations), Experimental and Cognitive Psychology (70 citations), Social Psychology (100 citations), Developmental and Educational Psychology (45 citations) and Cellular and Molecular Neuroscience (57 citations). Anna Shpektor has collaborated with scholars based in United Kingdom, Russia and Italy. Frequent co-authors include Matteo Feurra, Andriy Myachykov, Yury Shtyrov, Nikola Vukovic, Renée S. Koolschijn, Helen C. Barron, David Dupret, Jill X. O’Reilly, Timothy E.J. Behrens and Hamed Nili. Their work appears in journals such as Journal of Visualized Experiments, Nature Communications, Frontiers in Aging Neuroscience, Neuropsychologia 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.