Massimo Castoldi
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
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- Ultrasound in Clinical Applications
Papers in
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- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 1
- Oncology 3
- COVID-19 and healthcare impacts 3
- Co-authors
- Valter Torri (4 shared papers)Emilio Bombardieri (4 shared papers)Alberto Mantovani (1 shared paper)Chiara Pozzi (1 shared paper)Giordano Beretta (2 shared papers)Maria Teresa Sandri (1 shared paper)Sara Carloni (1 shared paper)Michela Salvatici (1 shared paper)
- Journals
- European Journal of Emergency Medicine (1 paper)Scientific Reports (1 paper)European Journal of Radiology (1 paper)Frontiers in Digital Health (1 paper)SN Comprehensive Clinical Medicine (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Massimo Castoldi
4 papers receiving 31 citations
Peers
Comparison fields: 5 of 22
- Infectious Diseases 18
- Critical Care and Intensive Care Medicine 5
- Health Informatics 1
- Modeling and Simulation 3
- Neurology 9
Countries citing papers authored by Massimo Castoldi
This map shows the geographic impact of Massimo Castoldi'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 Massimo Castoldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Castoldi more than expected).
Fields of papers citing papers by Massimo Castoldi
This network shows the impact of papers produced by Massimo Castoldi. 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 Massimo Castoldi. The network helps show where Massimo Castoldi may publish in the future.
Co-authors
The 19 scholars most cited alongside Massimo Castoldi, 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 | 2021 | 15 | |
| 2 | 2021 | 12 | |
| 3 | 2020 | 2 | |
| 4 | 2020 | 2 | |
| 5 | 2025 | 0 |
About Massimo Castoldi
Massimo Castoldi is a scholar working on Infectious Diseases, Oncology, Surgery, Critical Care and Intensive Care Medicine and Neurology, having authored 5 papers that have together received 31 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (1 paper), Balance, Gait, and Falls Prevention (1 paper), COVID-19 epidemiological studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Emergency and Acute Care Studies (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Infectious Diseases (18 citations), Critical Care and Intensive Care Medicine (5 citations), Health Informatics (1 citation), Modeling and Simulation (3 citations) and Neurology (9 citations). Massimo Castoldi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Valter Torri, Emilio Bombardieri, Alberto Mantovani, Chiara Pozzi, Giordano Beretta, Maria Teresa Sandri, Sara Carloni, Michela Salvatici, Michèle Tedeschi and María Rescigno. Their work appears in journals such as European Journal of Emergency Medicine, Scientific Reports, European Journal of Radiology, Frontiers in Digital Health and SN Comprehensive Clinical 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.