Serena Amici

28 papers receiving 992 citations

Peers

Serena Amici
Comparison fields: 5 of 101
  • Psychiatry and Mental health 382
  • Cognitive Neuroscience 454
  • Physiology 331
  • Neurology 100
  • Neurology 170
Replace Howard Chertkow with:
Howard Chertkow Canada
Paolo Vitali Canada
J. Saerens Belgium
Siegbert Warkentin Sweden
Etsuro Mori Japan
Leonidas Chouliaras United Kingdom
Barney J. Casey Australia
Scott Komo United States
Jessica Alber United States
Valentina Bessi Italy
Serena Amici relative to Howard Chertkow Canada Howard Chertkow's profile →
Citations per field
00.5×2.8×
Howard Chertkow · 1×
Citations per year

Countries citing papers authored by Serena Amici

Since Specialization
Citations

This map shows the geographic impact of Serena Amici'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 Serena Amici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Amici more than expected).

Fields of papers citing papers by Serena Amici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serena Amici. 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 Serena Amici. The network helps show where Serena Amici may publish in the future.

Co-authors

The 25 scholars most cited alongside Serena Amici, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Serena Amici Line = papers co-authored together Serena Amici links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006159
2 2005120
3 2001114
4 200789
5 200261
6 201560
7 200759
8 200652
9 200350
10 200140
11 200134
12 200132
13 200428
14 200521
15 200117
16 201617
17 202015
18 201212
19 20027
20 20187

About Serena Amici

Serena Amici is a scholar working on Psychiatry and Mental health, Physiology, Cognitive Neuroscience, Pharmacology and Neurology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Alzheimer's disease research and treatments (7 papers), Neurobiology of Language and Bilingualism (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Acute Ischemic Stroke Management (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Psychiatry and Mental health (382 citations), Cognitive Neuroscience (454 citations), Physiology (331 citations), Neurology (100 citations) and Neurology (170 citations). Serena Amici has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Maria Luisa Gorno‐Tempini, Bruce L. Miller, Nina F. Dronkers, Lucilla Parnetti, Virgilio Gallai, Alessia Lanari, Jennifer M. Ogar, J. Ogar, Simona M. Brambati and Eugeen Vanmechelen. Their work appears in journals such as Mechanisms of Ageing and Development, Neurological Sciences, Cognitive and Behavioral Neurology, Neurocase 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.

Explore authors with similar magnitude of impact