Isabella Premoli
- Neurology top 1%
- Transcranial Magnetic Stimulation Studies 14
- Vestibular and auditory disorders 3
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 8
- Functional Brain Connectivity Studies 8
- Neural dynamics and brain function 7
- Neural and Behavioral Psychology Studies 4
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- Neuroscience and Neuropharmacology Research 4
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies 14
- Vestibular and auditory disorders 3
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- Muscle activation and electromyography studies 3
- Co-authors
- Ulf ZiemannPaolo BelardinelliDavide RivoltaFlorian Müller‐DahlhausNazareth P. CastellanosCarl Moritz ZipserSvenja EspenhahnTonio Heidegger
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Isabella Premoli
24 papers receiving 988 citations
Peers
Comparison fields: 5 of 72
- Neurology 694
- Cognitive Neuroscience 728
- Computational Mathematics 6
- Cellular and Molecular Neuroscience 128
- Neurology 98
Countries citing papers authored by Isabella Premoli
This map shows the geographic impact of Isabella Premoli'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 Isabella Premoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabella Premoli more than expected).
Fields of papers citing papers by Isabella Premoli
This network shows the impact of papers produced by Isabella Premoli. 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 Isabella Premoli. The network helps show where Isabella Premoli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isabella Premoli, 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 | 2022 | 16 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 82 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 47 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 69 | |
| 14 | 2017 | 23 | |
| 15 | 2017 | 97 | |
| 16 | 2017 | 26 | |
| 17 | 2016 | 2 | |
| 18 | 2014 | 269 | |
| 19 | 2014 | 126 | |
| 20 | 2009 | 19 |
About Isabella Premoli
Isabella Premoli is a scholar working on Neurology, Computational Mathematics and Cognitive Neuroscience, having authored 24 papers that have together received 992 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (14 papers), EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Neural and Behavioral Psychology Studies (4 papers), Muscle activation and electromyography studies (3 papers) and Vestibular and auditory disorders (3 papers). The work is most often cited by research in Neurology (694 citations), Cognitive Neuroscience (728 citations) and Computational Mathematics (6 citations). Isabella Premoli has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Ulf Ziemann, Paolo Belardinelli, Davide Rivolta, Florian Müller‐Dahlhaus, Nazareth P. Castellanos, Carl Moritz Zipser, Svenja Espenhahn, Tonio Heidegger, Andrea Biondi and Ricardo Bajo. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.
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.