Giacomo De Luca
- Pathology and Forensic Medicine top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Infectious Diseases top 2%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Corrado CampochiaroLorenzo DagnaGiulio CavalliAlessandro TomelleriMarijke VerpoortenMoreno TresoldiSilvia Laura BoselloGiovanni Peretto
- Topics
- Systemic Sclerosis and Related Diseases (37 papers)Viral Infections and Immunology Research (25 papers)Inflammatory Myopathies and Dermatomyositis (20 papers)
- Partner nations
- ItalyUnited KingdomBelgium
In The Last Decade
Giacomo De Luca
115 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 132
- Pathology and Forensic Medicine 645
- Cardiology and Cardiovascular Medicine 570
- Infectious Diseases 561
- Epidemiology 455
- Pulmonary and Respiratory Medicine 416
Countries citing papers authored by Giacomo De Luca
This map shows the geographic impact of Giacomo De Luca'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 Giacomo De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo De Luca more than expected).
Fields of papers citing papers by Giacomo De Luca
This network shows the impact of papers produced by Giacomo De Luca. 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 Giacomo De Luca. The network helps show where Giacomo De Luca may publish in the future.
Co-authorship network of co-authors of Giacomo De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo De Luca. A scholar is included among the top collaborators of Giacomo De Luca 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 Giacomo De Luca. Giacomo De Luca 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 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 26 | |
| 13 | 135 | |
| 14 | 32 | |
| 15 | 21 | |
| 16 | 2 | |
| 17 | Ethnic favoritism: an axiom of politics? (forthcoming) | 1 |
| 18 | 3 | |
| 19 | 127 | |
| 20 | 1 |
About Giacomo De Luca
Giacomo De Luca is a scholar working on Pathology and Forensic Medicine, Rheumatology and Industrial relations, having authored 128 papers that have together received 2.4k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (37 papers), Viral Infections and Immunology Research (25 papers) and Inflammatory Myopathies and Dermatomyositis (20 papers). The work is most often cited by research in Pathology and Forensic Medicine (645 citations), Infectious Diseases (561 citations) and Cardiology and Cardiovascular Medicine (570 citations). Giacomo De Luca has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Corrado Campochiaro, Lorenzo Dagna, Giulio Cavalli, Alessandro Tomelleri, Marijke Verpoorten, Moreno Tresoldi, Silvia Laura Bosello, Giovanni Peretto, Gianfranco Ferraccioli and Antonio Esposito. Their work appears in journals such as Blood, Journal of the American College of Cardiology 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.