Patrizia Rovere‐Querini
- Immunology top 0.2%
- Biomarkers in Disease Mechanisms 28
- Immunotherapy and Immune Responses 14
- Clinical Biochemistry top 0.1%
- Advanced Glycation End Products research 13
- Neurology top 0.5%
- Long-Term Effects of COVID-19 46
- Biological Psychiatry top 1%
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies 41
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- Systemic Lupus Erythematosus Research 23
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- Inflammasome and immune disorders 20
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- COVID-19 and Mental Health 14
- Co-authors
- Angelo A. ManfrediMarco E. BianchiNorma MaugeriRebecca De LorenzoFabio CiceriIngrid E. DumitriuFrancesco BenedettiMario Gennaro Mazza
- Journals
- New England Journal of Medicine (1 paper)Journal of Clinical Investigation (1 paper)The Journal of Experimental Medicine (2 papers)
- 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
- Clinical Biochemistry 1.3k
- Neurology 2.2k
- Biological Psychiatry 329
- Infectious Diseases 1.8k
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
The 25 scholars most cited alongside Patrizia Rovere‐Querini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 38 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 29 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 187 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 175 | |
| 18 | 2017 | 51 | |
| 19 | 2008 | 431 | |
| 20 | 2004 | 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), Biomarkers in Disease Mechanisms (28 papers), Systemic Lupus Erythematosus Research (23 papers), Inflammasome and immune disorders (20 papers), COVID-19 and Mental Health (14 papers), Immunotherapy and Immune Responses (14 papers) and Advanced Glycation End Products research (13 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.