Mattia Chini
Impact in
- Cognitive Neuroscience top 5%
- Sleep and Wakefulness Research
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 11
- Photoreceptor and optogenetics research 3
-
- Neural dynamics and brain function 6
- Memory and Neural Mechanisms 6
- Co-authors
- Ileana L. Hanganu‐Opatz (12 shared papers)Chiara Cirelli (2 shared papers)Giulio Tononi (2 shared papers)Michele Bellesi (2 shared papers)Francesca Gilli (1 shared paper)Luisa de Vivo (1 shared paper)Thomas Pfeffer (1 shared paper)Sebastian H. Bitzenhofer (6 shared papers)
- Journals
- eLife (2 papers)Journal of Neuroscience (2 papers)Neuron (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Mattia Chini
14 papers receiving 882 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 444
- Neurology 175
- Biological Psychiatry 49
- Cellular and Molecular Neuroscience 305
- Endocrine and Autonomic Systems 101
Countries citing papers authored by Mattia Chini
This map shows the geographic impact of Mattia Chini'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 Mattia Chini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Chini more than expected).
Fields of papers citing papers by Mattia Chini
This network shows the impact of papers produced by Mattia Chini. 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 Mattia Chini. The network helps show where Mattia Chini may publish in the future.
Co-authors
The 25 scholars most cited alongside Mattia Chini, 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 | 302 | |
| 2 | 2020 | 164 | |
| 3 | 2022 | 103 | |
| 4 | 2021 | 61 | |
| 5 | 2016 | 58 | |
| 6 | 2019 | 53 | |
| 7 | 2018 | 34 | |
| 8 | 2021 | 31 | |
| 9 | 2019 | 27 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 15 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About Mattia Chini
Mattia Chini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Neuroscience and Neurology, having authored 16 papers that have together received 885 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (6 papers), Memory and Neural Mechanisms (6 papers), Photoreceptor and optogenetics research (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Receptor Mechanisms and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (444 citations), Neurology (175 citations), Biological Psychiatry (49 citations), Cellular and Molecular Neuroscience (305 citations) and Endocrine and Autonomic Systems (101 citations). Mattia Chini has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ileana L. Hanganu‐Opatz, Chiara Cirelli, Giulio Tononi, Michele Bellesi, Francesca Gilli, Luisa de Vivo, Thomas Pfeffer, Sebastian H. Bitzenhofer, Jastyn A. Pöpplau and Daniel Bushey. Their work appears in journals such as eLife, Journal of Neuroscience, Neuron, Nature Communications and Cell Reports.
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.