Matteo Ceccarelli
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 24
- Molecular Biology top 5%
- Protein Structure and Dynamics 21
- Lipid Membrane Structure and Behavior 18
- RNA and protein synthesis mechanisms 11
- Genetics top 2%
- Bacterial Genetics and Biotechnology 34
- Endocrinology top 5%
- Infectious Diseases top 5%
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- Nanopore and Nanochannel Transport Studies 28
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- Bacteriophages and microbial interactions 16
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- Spectroscopy and Quantum Chemical Studies 13
Matteo Ceccarelli
155 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Medicine 925
- Molecular Biology 2.2k
- Genetics 850
- Endocrinology 151
- Infectious Diseases 410
Countries citing papers authored by Matteo Ceccarelli
This map shows the geographic impact of Matteo Ceccarelli'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 Matteo Ceccarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Ceccarelli more than expected).
Fields of papers citing papers by Matteo Ceccarelli
This network shows the impact of papers produced by Matteo Ceccarelli. 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 Matteo Ceccarelli. The network helps show where Matteo Ceccarelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matteo Ceccarelli, 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 | 2024 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 49 | |
| 12 | 2020 | 21 | |
| 13 | Porins and small-molecule translocation across the outer membrane of Gram-negative bacteriabreakdown → | 2019 | 281 |
| 14 | 2019 | 8 | |
| 15 | 2018 | 10 | |
| 16 | 2018 | 32 | |
| 17 | 2017 | 50 | |
| 18 | 2017 | 79 | |
| 19 | 2015 | 43 | |
| 20 | 1954 | 1 |
About Matteo Ceccarelli
Matteo Ceccarelli is a scholar working on Molecular Medicine, Nuclear and High Energy Physics and Structural Biology, having authored 159 papers that have together received 4.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (34 papers), Nanopore and Nanochannel Transport Studies (28 papers), Antibiotic Resistance in Bacteria (24 papers), Protein Structure and Dynamics (21 papers), Lipid Membrane Structure and Behavior (18 papers), Bacteriophages and microbial interactions (16 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Molecular Medicine (925 citations), Molecular Biology (2.2k citations) and Genetics (850 citations). Matteo Ceccarelli has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Mathias Winterhalter, Massimo Marchi, Michele Parrinello, Igor Bodrenko, Paolo Ruggerone, Mariano Andrea Scorciapino, Fabio Sterpone, Alessandro Laio, Silvia Acosta‐Gutiérrez and Francesco Luigi Gervasio. Their work appears in journals such as The Journal of Physical Chemistry B, Biophysical Journal, Physical Chemistry Chemical Physics, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.