M. Chiara Manzini
- Molecular Biology top 10%
- Organic Chemistry top 2%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 5%
- Co-authors
- Marco LessiFabio BellinaRenzo RossiChristopher A. WalshPéter NemesGiulia MarianettiCarol A. MasonCamille Lombard‐Banek
- Topics
- Catalytic C–H Functionalization Methods (10 papers)Muscle Physiology and Disorders (10 papers)Genetics and Neurodevelopmental Disorders (10 papers)
- Journals
- ScienceNature CommunicationsNeuron
- Partner nations
- United StatesItalySaudi Arabia
In The Last Decade
M. Chiara Manzini
73 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.0k
- Organic Chemistry 880
- Genetics 438
- Cellular and Molecular Neuroscience 251
- Cell Biology 218
Countries citing papers authored by M. Chiara Manzini
This map shows the geographic impact of M. Chiara Manzini'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 M. Chiara Manzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Chiara Manzini more than expected).
Fields of papers citing papers by M. Chiara Manzini
This network shows the impact of papers produced by M. Chiara Manzini. 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 M. Chiara Manzini. The network helps show where M. Chiara Manzini may publish in the future.
Co-authorship network of co-authors of M. Chiara Manzini
This figure shows the co-authorship network connecting the top 25 collaborators of M. Chiara Manzini. A scholar is included among the top collaborators of M. Chiara Manzini 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 M. Chiara Manzini. M. Chiara Manzini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 17 | |
| 8 | 27 | |
| 9 | 33 | |
| 10 | 13 | |
| 11 | 58 | |
| 12 | 6 | |
| 13 | 114 | |
| 14 | 27 | |
| 15 | 49 | |
| 16 | An Analysis of a Quantum Kinetic Two-band Model with Inflow Boundary Conditions | 1 |
| 17 | Note on Dispersive Effects in Quantum Kinetic Equations | 1 |
| 18 | 12 | |
| 19 | 36 | |
| 20 | 68 |
About M. Chiara Manzini
M. Chiara Manzini is a scholar working on Developmental Neuroscience, Mathematical Physics and Structural Biology, having authored 74 papers that have together received 2.7k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (10 papers), Muscle Physiology and Disorders (10 papers) and Genetics and Neurodevelopmental Disorders (10 papers). The work is most often cited by research in Organic Chemistry (880 citations), Developmental Neuroscience (103 citations) and Genetics (438 citations). M. Chiara Manzini has collaborated with scholars based in United States, Italy and Saudi Arabia. Frequent co-authors include Marco Lessi, Fabio Bellina, Renzo Rossi, Christopher A. Walsh, Péter Nemes, Giulia Marianetti, Carol A. Mason, Camille Lombard‐Banek, Sally A. Moody and Hae‐Young Lee. Their work appears in journals such as Science, Nature Communications and Neuron.
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.