Mattia Pedotti
- Molecular Biology
- Immunology top 10%
- Clinical Biochemistry top 1%
- Infectious Diseases top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Luca VaraniLuca SimonelliMariagrazia UguccioniBarbara CelonaFrancesco De MarchisMarco E. BianchiMilena SchiraldiAngela Raucci
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Glycosylation and Glycoproteins Research (2 papers)Bacteriophages and microbial interactions (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- SwitzerlandItalyUnited Kingdom
In The Last Decade
Mattia Pedotti
17 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 379
- Immunology 312
- Clinical Biochemistry 265
- Infectious Diseases 180
- Radiology, Nuclear Medicine and Imaging 119
Countries citing papers authored by Mattia Pedotti
This map shows the geographic impact of Mattia Pedotti'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 Mattia Pedotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Pedotti more than expected).
Fields of papers citing papers by Mattia Pedotti
This network shows the impact of papers produced by Mattia Pedotti. 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 Mattia Pedotti. The network helps show where Mattia Pedotti may publish in the future.
Co-authorship network of co-authors of Mattia Pedotti
This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Pedotti. A scholar is included among the top collaborators of Mattia Pedotti 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 Mattia Pedotti. Mattia Pedotti 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 | 27 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 98 | |
| 8 | 16 | |
| 9 | 35 | |
| 10 | 152 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 29 | |
| 14 | 19 | |
| 15 | HMGB1 promotes recruitment of inflammatory cells to damaged tissues by forming a complex with CXCL12 and signaling via CXCR4breakdown → | 514 |
| 16 | 49 | |
| 17 | 41 |
About Mattia Pedotti
Mattia Pedotti is a scholar working on Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Clinical Biochemistry (265 citations), Immunology (312 citations) and Infectious Diseases (180 citations). Mattia Pedotti has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Luca Varani, Luca Simonelli, Mariagrazia Uguccioni, Barbara Celona, Francesco De Marchis, Marco E. Bianchi, Milena Schiraldi, Angela Raucci, Mario Mellado and Tiziana Apuzzo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental 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.