Patrizia Rovere‐Querini
- Immunology top 0.2%
- Molecular Biology top 2%
- Neurology top 0.5%
- Infectious Diseases top 0.5%
- Clinical Biochemistry top 0.1%
- Co-authors
- Angelo A. ManfrediMarco E. BianchiNorma MaugeriRebecca De LorenzoFabio CiceriIngrid E. DumitriuFrancesco BenedettiMario Gennaro Mazza
- Topics
- Long-Term Effects of COVID-19 (46 papers)COVID-19 Clinical Research Studies (41 papers)Biomarkers in Disease Mechanisms (28 papers)
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Patrizia Rovere‐Querini
214 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Immunology 4.4k
- Molecular Biology 2.6k
- Neurology 2.2k
- Infectious Diseases 1.8k
- Clinical Biochemistry 1.3k
Countries citing papers authored by Patrizia Rovere‐Querini
This map shows the geographic impact of Patrizia Rovere‐Querini'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 Patrizia Rovere‐Querini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrizia Rovere‐Querini more than expected).
Fields of papers citing papers by Patrizia Rovere‐Querini
This network shows the impact of papers produced by Patrizia Rovere‐Querini. 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 Patrizia Rovere‐Querini. The network helps show where Patrizia Rovere‐Querini may publish in the future.
Co-authorship network of co-authors of Patrizia Rovere‐Querini
This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Rovere‐Querini. A scholar is included among the top collaborators of Patrizia Rovere‐Querini 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 Patrizia Rovere‐Querini. Patrizia Rovere‐Querini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 38 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 22 | |
| 11 | 8 | |
| 12 | 29 | |
| 13 | 5 | |
| 14 | 187 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 175 | |
| 18 | 51 | |
| 19 | 431 | |
| 20 | 143 |
About Patrizia Rovere‐Querini
Patrizia Rovere‐Querini is a scholar working on Immunology, Biological Psychiatry and Neurology, having authored 225 papers that have together received 11.5k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (46 papers), COVID-19 Clinical Research Studies (41 papers) and Biomarkers in Disease Mechanisms (28 papers). The work is most often cited by research in Immunology (4.4k citations), Clinical Biochemistry (1.3k citations) and Neurology (2.2k citations). Patrizia Rovere‐Querini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Angelo A. Manfredi, Marco E. Bianchi, Norma Maugeri, Rebecca De Lorenzo, Fabio Ciceri, Ingrid E. Dumitriu, Francesco Benedetti, Mario Gennaro Mazza, Paramita Baruah and Roberto Furlan. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation 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.