Matteo Pagliari

755 citations
13 papers · 319 indexed · h-index 9
Topics
SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 Clinical Research Studies (7 papers)SARS-CoV-2 detection and testing (4 papers)
Partner nations
ItalyQatar

In The Last Decade

Matteo Pagliari

12 papers receiving 319 citations

Peers

Matteo Pagliari
Comparison fields: 5 of 62
  • Infectious Diseases 225
  • Surgery 46
  • Molecular Biology 44
  • Immunology 37
  • Animal Science and Zoology 36
Replace Gabrielle Grubbs with:
Gabrielle Grubbs United States
Joey Ming Er Lim Singapore
Tiffany King United States
Christopher E. Yi United States
Somayeh Shatizadeh Malekshahi Iran
Tim I. Breugem Netherlands
Wooseob Kim South Korea
Sara Caldrer Italy
Juxiang Ye China
Courtney E. Comar United States
Matteo Pagliari relative to Gabrielle Grubbs United States Gabrielle Grubbs's profile →
Citations per field
00.5×1.5×
Gabrielle Grubbs · 1×
Citations per year

Countries citing papers authored by Matteo Pagliari

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pagliari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pagliari

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 8
3 1
4 11
5 25
6 3
7 41
8 21
9 12
10 26
11 101
12 23
13 47

About Matteo Pagliari

Matteo Pagliari is a scholar working on Infectious Diseases, Animal Science and Zoology and Neurology, having authored 13 papers that have together received 319 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (7 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Infectious Diseases (225 citations), Animal Science and Zoology (36 citations) and Modeling and Simulation (14 citations). Matteo Pagliari has collaborated with scholars based in Italy and Qatar. Frequent co-authors include Alessio Bortolami, Mario Plebani, Francesco Bonfante, Andrea Padoan, Chiara Cosma, Laura Sciacovelli, Silvia Zuin, Davide Negrini, Dania Bozzato and Marina de Bernard. Their work appears in journals such as Journal of Controlled Release, Frontiers in Immunology and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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