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
-
- Memory and Neural Mechanisms 6
- Neural dynamics and brain function 6
- Co-authors
- Ileana L. Hanganu‐Opatz (12 shared papers)Giulio Tononi (2 shared papers)Chiara Cirelli (2 shared papers)Michele Bellesi (2 shared papers)Luisa de Vivo (1 shared paper)Francesca Gilli (1 shared paper)Sebastian H. Bitzenhofer (5 shared papers)Thomas Pfeffer (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)eLife (2 papers)Neuron (2 papers)Scientific Reports (1 paper)PLoS Biology (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Mattia Chini
14 papers receiving 828 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 457
- Neurology 186
- Biological Psychiatry 51
- Cellular and Molecular Neuroscience 310
- Endocrine and Autonomic Systems 111
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 24 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 | 288 | |
| 2 | 2020 | 153 | |
| 3 | 2022 | 94 | |
| 4 | 2016 | 57 | |
| 5 | 2021 | 56 | |
| 6 | 2019 | 51 | |
| 7 | 2018 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2019 | 25 | |
| 10 | 2019 | 22 | |
| 11 | 2019 | 14 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 2 |
About Mattia Chini
Mattia Chini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Neuroscience and Neurology, having authored 14 papers that have together received 831 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (6 papers), Neural dynamics and brain function (6 papers), Anesthesia and Neurotoxicity Research (3 papers), Photoreceptor and optogenetics research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (457 citations), Neurology (186 citations), Biological Psychiatry (51 citations), Cellular and Molecular Neuroscience (310 citations) and Endocrine and Autonomic Systems (111 citations). Mattia Chini has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ileana L. Hanganu‐Opatz, Giulio Tononi, Chiara Cirelli, Michele Bellesi, Luisa de Vivo, Francesca Gilli, Sebastian H. Bitzenhofer, Thomas Pfeffer, Jastyn A. Pöpplau and Joachim Ahlbeck. Their work appears in journals such as Journal of Neuroscience, eLife, Neuron, Scientific Reports and PLoS Biology.
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.