Umberto Di Dedda
- Infectious Diseases top 2%
- Neurology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Internal Medicine top 1%
- Surgery
- Co-authors
- Marco RanucciEkaterina BaryshnikovaLorenzo MenicantiMara FalcoMarco PoliMarco RestaGiovanni AlbanoAndrea Ballotta
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (9 papers)Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers)Venous Thromboembolism Diagnosis and Management (6 papers)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Umberto Di Dedda
26 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Infectious Diseases 625
- Neurology 340
- Cardiology and Cardiovascular Medicine 335
- Internal Medicine 296
- Surgery 232
Countries citing papers authored by Umberto Di Dedda
This map shows the geographic impact of Umberto Di Dedda'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 Umberto Di Dedda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Di Dedda more than expected).
Fields of papers citing papers by Umberto Di Dedda
This network shows the impact of papers produced by Umberto Di Dedda. 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 Umberto Di Dedda. The network helps show where Umberto Di Dedda may publish in the future.
Co-authorship network of co-authors of Umberto Di Dedda
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Di Dedda. A scholar is included among the top collaborators of Umberto Di Dedda 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 Umberto Di Dedda. Umberto Di Dedda 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 | 5 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | The procoagulant pattern of patients with COVID‐19 acute respiratory distress syndromebreakdown → | 682 |
| 9 | 47 | |
| 10 | 47 | |
| 11 | 21 | |
| 12 | 21 | |
| 13 | 18 | |
| 14 | 33 | |
| 15 | 10 | |
| 16 | 35 | |
| 17 | 4 | |
| 18 | 73 | |
| 19 | 72 | |
| 20 | 111 |
About Umberto Di Dedda
Umberto Di Dedda is a scholar working on Internal Medicine, Critical Care and Intensive Care Medicine and Biochemistry, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (9 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). The work is most often cited by research in Internal Medicine (296 citations), Critical Care and Intensive Care Medicine (211 citations) and Infectious Diseases (625 citations). Umberto Di Dedda has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Marco Ranucci, Ekaterina Baryshnikova, Lorenzo Menicanti, Mara Falco, Marco Poli, Marco Resta, Giovanni Albano, Andrea Ballotta, Serenella Castelvecchio and Gabriele Pelissero. Their work appears in journals such as PLoS ONE, Anesthesia & Analgesia and The Annals of Thoracic Surgery.
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.