Lorenzo Pasquini
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Christian SorgTimo GrimmerAlexander DrzezgaValentin RiedlMasoud TahmasianFernanda Palhano-FontesDráulio Barros de AraújoMartin Scherr
- Topics
- Functional Brain Connectivity Studies (20 papers)Dementia and Cognitive Impairment Research (12 papers)Advanced Neuroimaging Techniques and Applications (9 papers)
- Journals
- Nature CommunicationsNeuroImageBrain
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Lorenzo Pasquini
28 papers receiving 874 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 535
- Psychiatry and Mental health 277
- Radiology, Nuclear Medicine and Imaging 236
- Physiology 221
- Cellular and Molecular Neuroscience 121
Countries citing papers authored by Lorenzo Pasquini
This map shows the geographic impact of Lorenzo Pasquini'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 Lorenzo Pasquini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Pasquini more than expected).
Fields of papers citing papers by Lorenzo Pasquini
This network shows the impact of papers produced by Lorenzo Pasquini. 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 Lorenzo Pasquini. The network helps show where Lorenzo Pasquini may publish in the future.
Co-authorship network of co-authors of Lorenzo Pasquini
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Pasquini. A scholar is included among the top collaborators of Lorenzo Pasquini 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 Lorenzo Pasquini. Lorenzo Pasquini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 18 | |
| 6 | 21 | |
| 7 | 34 | |
| 8 | 73 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 52 | |
| 13 | 52 | |
| 14 | 17 | |
| 15 | 12 | |
| 16 | 80 | |
| 17 | 24 | |
| 18 | 2 | |
| 19 | 74 | |
| 20 | 105 |
About Lorenzo Pasquini
Lorenzo Pasquini is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Biological Psychiatry, having authored 30 papers that have together received 877 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), Dementia and Cognitive Impairment Research (12 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). The work is most often cited by research in Cognitive Neuroscience (535 citations), Psychiatry and Mental health (277 citations) and Radiology, Nuclear Medicine and Imaging (236 citations). Lorenzo Pasquini has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Christian Sorg, Timo Grimmer, Alexander Drzezga, Valentin Riedl, Masoud Tahmasian, Fernanda Palhano-Fontes, Dráulio Barros de Araújo, Martin Scherr, Nicholas E. Myers and Stefan Förster. Their work appears in journals such as Nature Communications, NeuroImage and Brain.
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.