Michele Catanzaro
- Statistical and Nonlinear Physics top 0.5%
- Molecular Biology
- Infectious Diseases top 5%
- Sociology and Political Science top 10%
- Neurology top 10%
- Co-authors
- Romualdo Pastor‐SatorrasMarián BoguñáCristina LanniMarco RacchiEmanuela CorsiniGuido CaldarelliStefano GovoniFrancesca Fagiani
- Topics
- Complex Network Analysis Techniques (13 papers)Opinion Dynamics and Social Influence (10 papers)Science, Research, and Medicine (7 papers)
- Journals
- NatureScienceNature Medicine
- Partner nations
- ItalySpainUnited States
In The Last Decade
Michele Catanzaro
43 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Statistical and Nonlinear Physics 850
- Molecular Biology 369
- Infectious Diseases 343
- Sociology and Political Science 186
- Neurology 150
Countries citing papers authored by Michele Catanzaro
This map shows the geographic impact of Michele Catanzaro'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 Michele Catanzaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Catanzaro more than expected).
Fields of papers citing papers by Michele Catanzaro
This network shows the impact of papers produced by Michele Catanzaro. 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 Michele Catanzaro. The network helps show where Michele Catanzaro may publish in the future.
Co-authorship network of co-authors of Michele Catanzaro
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Catanzaro. A scholar is included among the top collaborators of Michele Catanzaro 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 Michele Catanzaro. Michele Catanzaro 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 | 2 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | Immune response in COVID-19: addressing a pharmacological challenge by targeting pathways triggered by SARS-CoV-2breakdown → | 457 |
| 6 | 24 | |
| 7 | 61 | |
| 8 | 48 | |
| 9 | 51 | |
| 10 | 4 | |
| 11 | 34 | |
| 12 | 91 | |
| 13 | 18 | |
| 14 | 0 | |
| 15 | Networks: A Very Short Introduction | 29 |
| 16 | 49 | |
| 17 | 45 | |
| 18 | 65 | |
| 19 | Generation of uncorrelated random scale-free networksbreakdown → | 522 |
| 20 | 88 |
About Michele Catanzaro
Michele Catanzaro is a scholar working on Statistical and Nonlinear Physics, Reproductive Medicine and Molecular Medicine, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Opinion Dynamics and Social Influence (10 papers) and Science, Research, and Medicine (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (850 citations), Modeling and Simulation (115 citations) and Molecular Medicine (119 citations). Michele Catanzaro has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Romualdo Pastor‐Satorras, Marián Boguñá, Cristina Lanni, Marco Racchi, Emanuela Corsini, Guido Caldarelli, Stefano Govoni, Francesca Fagiani, Michela Rosini and Stefano Battiston. Their work appears in journals such as Nature, Science and Nature Medicine.
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.