Davide Negrini
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
-
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 3
- COVID-19 Clinical Research Studies 2
- Surgery 3
- Cholangiocarcinoma and Gallbladder Cancer Studies 2
- Heparin-Induced Thrombocytopenia and Thrombosis 1
- Co-authors
- Mario Plebani (5 shared papers)Andrea Padoan (6 shared papers)Laura Sciacovelli (3 shared papers)Silvia Zuin (2 shared papers)Chiara Cosma (2 shared papers)Paolo Maria Matricardi (1 shared paper)Diego Faggian (1 shared paper)Daniela Basso (1 shared paper)
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Clinica Chimica Acta (2 papers)Diagnosis (2 papers)EBioMedicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Davide Negrini
15 papers receiving 514 citations
Peers
Comparison fields: 5 of 71
- Infectious Diseases 331
- Neurology 40
- Internal Medicine 8
- Modeling and Simulation 10
- Oncology 54
Countries citing papers authored by Davide Negrini
This map shows the geographic impact of Davide Negrini'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 Davide Negrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Negrini more than expected).
Fields of papers citing papers by Davide Negrini
This network shows the impact of papers produced by Davide Negrini. 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 Davide Negrini. The network helps show where Davide Negrini may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Negrini, 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 | 2020 | 216 | |
| 2 | 2020 | 102 | |
| 3 | 2020 | 73 | |
| 4 | 2017 | 29 | |
| 5 | 2017 | 26 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2026 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Davide Negrini
Davide Negrini is a scholar working on Infectious Diseases, Surgery, Oncology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 526 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), Drug Transport and Resistance Mechanisms (2 papers), COVID-19 Clinical Research Studies (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Folate and B Vitamins Research (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and Gallbladder and Bile Duct Disorders (1 paper). The work is most often cited by research in Infectious Diseases (331 citations), Neurology (40 citations), Internal Medicine (8 citations), Modeling and Simulation (10 citations) and Oncology (54 citations). Davide Negrini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mario Plebani, Andrea Padoan, Laura Sciacovelli, Silvia Zuin, Chiara Cosma, Paolo Maria Matricardi, Diego Faggian, Daniela Basso, Giuseppe Lippi and Martina Montagnana. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Diagnosis, EBioMedicine and PLoS ONE.
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.