Andrea Duca

562 citations
13 papers · 314 · h-index 6

Impact in

Papers in

Andrea Duca

11 papers receiving 309 citations

Peers

Andrea Duca
Comparison fields: 5 of 55
  • Critical Care and Intensive Care Medicine 31
  • Infectious Diseases 98
  • Health Informatics 5
  • Neurology 42
  • Emergency Medicine 22
Replace Shu Peng with:
Shu Peng China
Marco Schiavone Italy
Zhouming Xu China
Hani Mahmoud‐Elsayed United Kingdom
Vito Cianci Italy
Avinash Mani India
Caroline Hauw‐Berlemont France
Francesco Franceschi Italy
Luiz Antônio Nasi Brazil
Nathan M. Pajor United States
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Citations per field
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Citations per year

Countries citing papers authored by Andrea Duca

Since Specialization
Citations

This map shows the geographic impact of Andrea Duca'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 Andrea Duca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Duca more than expected).

Fields of papers citing papers by Andrea Duca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea Duca. 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 Andrea Duca. The network helps show where Andrea Duca may publish in the future.

Co-authors

The 25 scholars most cited alongside Andrea Duca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrea Duca Line = papers co-authored together Andrea Duca links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202078
2
Novel 2019 coronavirus SARS-CoV-2 (COVID-19): An updated overview for emergency clinicians
202077
3 202055
4
Calculated Decisions: Brescia-COVID Respiratory Severity Scale (BCRSS)/Algorithm.
202051
5
Novel 2019 coronavirus SARS-CoV-2 (COVID-19): an overview for emergency clinicians.
202028
6 201611
7 20184
8 20204
9 20063
10 20202
11 20251
12 20250
13 20240

About Andrea Duca

Andrea Duca is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Emergency Medicine, Neurology and Oncology, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (4 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 and healthcare impacts (2 papers), Long-Term Effects of COVID-19 (2 papers), Emergency and Acute Care Studies (2 papers), Cardiac Arrest and Resuscitation (2 papers), Surgical site infection prevention (1 paper) and Amoebic Infections and Treatments (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (31 citations), Infectious Diseases (98 citations), Health Informatics (5 citations), Neurology (42 citations) and Emergency Medicine (22 citations). Andrea Duca has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Roberto Cosentini, Simone Piva, Marco Rizzi, Emanuele Focà, Ferdinando Luca Lorini, Nicola Latronico, Fabiano Di Marco, Mario Silva, Andrea Corsi and Gianluca Milanese. Their work appears in journals such as European Radiology, BMC Emergency Medicine, EClinicalMedicine, Internal and Emergency Medicine and Emergency Medicine Clinics of North America.

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.

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