Matteo Ferrari

1.6k total citations
23 papers, 609 citations indexed

About

Matteo Ferrari is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Matteo Ferrari has authored 23 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 6 papers in Epidemiology and 6 papers in Immunology. Recurrent topics in Matteo Ferrari's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Viral Infections and Vectors (4 papers). Matteo Ferrari is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Viral Infections and Vectors (4 papers). Matteo Ferrari collaborates with scholars based in United Kingdom, Italy and Germany. Matteo Ferrari's co-authors include John Hiscott, David Olagnier, Jonathan L. Heeney, Peter Zweifel, Alessandra Zevini, Enrico Palermo, Thomas Dudler, Wilhelm Schwaeble, Nicholas J. Lynch and Gregory Demopulos and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Molecular Biology and Journal of Virology.

In The Last Decade

Matteo Ferrari

22 papers receiving 594 citations

Peers

Matteo Ferrari
Comparison fields: 5 of 88
  • Infectious Diseases 226
  • Immunology 179
  • Molecular Biology 144
  • Surgery 116
  • Epidemiology 88
Replace Sabine Allard with:
Sabine Allard Belgium
Anne-Pascale Satié France
Sahar Esfandyari United States
Ippei Sakamaki Japan
Laia Alsina Spain
Nehemya Friedman Israel
Toralf Bernig Germany
Gira Patel United States
Marc Z. Handler United States
Dorothy Cheung United States
Sabine Allard Belgium View profile →
Citations per field, relative to Matteo Ferrari
Matteo Ferrari · 1×
Citations per year, relative to Matteo Ferrari
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Countries citing papers authored by Matteo Ferrari

Since Specialization
Citations

This map shows the geographic impact of Matteo Ferrari'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 Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Ferrari more than expected).

Fields of papers citing papers by Matteo Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Ferrari. 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 Ferrari. The network helps show where Matteo Ferrari may publish in the future.

Co-authorship network of co-authors of Matteo Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Ferrari. A scholar is included among the top collaborators of Matteo Ferrari 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 Matteo Ferrari. Matteo Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 9
4 12
5 7
6 2
7 115
8 10
9 24
10 13
11 24
12 21
13 22
14 64
15 10
16 25
17 1
18
Risk Perception, Culture, and Legal Change: A Comparative Study on Food Safety in the Wake of the Mad Cow Crisis
12
19 33
20 122

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.

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