Martina Patone
- Infectious Diseases top 2%
- Neurology top 5%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Health top 5%
- Co-authors
- Julia Hippisley–CoxCarol CouplandKamlesh KhuntiPeter WatkinsonAziz SheikhFrancesco ZaccardiSharon DixonXue W. Mei
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 Clinical Research Studies (7 papers)Long-Term Effects of COVID-19 (5 papers)
- Cited by
- Infectious DiseasesNeurologyHealth
- Partner nations
- United KingdomCanadaNorway
In The Last Decade
Martina Patone
22 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Infectious Diseases 835
- Neurology 350
- Surgery 312
- Cardiology and Cardiovascular Medicine 295
- Health 152
Countries citing papers authored by Martina Patone
This map shows the geographic impact of Martina Patone'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 Martina Patone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Patone more than expected).
Fields of papers citing papers by Martina Patone
This network shows the impact of papers produced by Martina Patone. 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 Martina Patone. The network helps show where Martina Patone may publish in the future.
Co-authorship network of co-authors of Martina Patone
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Patone. A scholar is included among the top collaborators of Martina Patone 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 Martina Patone. Martina Patone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | Risk of Myocarditis After Sequential Doses of COVID-19 Vaccine and SARS-CoV-2 Infection by Age and Sexbreakdown → | 125 |
| 10 | 19 | |
| 11 | 64 | |
| 12 | 0 | |
| 13 | 27 | |
| 14 | 12 | |
| 15 | Neurological complications after first dose of COVID-19 vaccines and SARS-CoV-2 infectionbreakdown → | 246 |
| 16 | 63 | |
| 17 | Risks of myocarditis, pericarditis, and cardiac arrhythmias associated with COVID-19 vaccination or SARS-CoV-2 infectionbreakdown → | 391 |
| 18 | Risk of thrombocytopenia and thromboembolism after covid-19 vaccination and SARS-CoV-2 positive testing: self-controlled case series studybreakdown → | 212 |
| 19 | 5 | |
| 20 | 66 |
About Martina Patone
Martina Patone is a scholar working on Infectious Diseases, Biological Psychiatry and Health, having authored 24 papers that have together received 1.3k 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 Long-Term Effects of COVID-19 (5 papers). The work is most often cited by research in Infectious Diseases (835 citations), Neurology (350 citations) and Health (152 citations). Martina Patone has collaborated with scholars based in United Kingdom, Canada and Norway. Frequent co-authors include Julia Hippisley–Cox, Carol Coupland, Kamlesh Khunti, Peter Watkinson, Aziz Sheikh, Francesco Zaccardi, Sharon Dixon, Xue W. Mei, Manu Shankar‐Hari and Lahiru Handunnetthi. Their work appears in journals such as Circulation, Nature Medicine and Nature Communications.
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.