Armando Gabrielli
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Physiology top 10%
- Rheumatology top 5%
- Co-authors
- Enrico V. AvvedimentoThomas KriegMaria Giovanna DanieliG DanieliMarco CandelaAntonio PezoneChristopher P. DentonAntonio Procopio
- Topics
- Systemic Sclerosis and Related Diseases (19 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers)Inflammatory Myopathies and Dermatomyositis (5 papers)
- Partner nations
- ItalySwitzerlandNorway
In The Last Decade
Armando Gabrielli
40 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Pathology and Forensic Medicine 443
- Pulmonary and Respiratory Medicine 366
- Immunology 272
- Physiology 263
- Rheumatology 251
Countries citing papers authored by Armando Gabrielli
This map shows the geographic impact of Armando Gabrielli'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 Armando Gabrielli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando Gabrielli more than expected).
Fields of papers citing papers by Armando Gabrielli
This network shows the impact of papers produced by Armando Gabrielli. 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 Armando Gabrielli. The network helps show where Armando Gabrielli may publish in the future.
Co-authorship network of co-authors of Armando Gabrielli
This figure shows the co-authorship network connecting the top 25 collaborators of Armando Gabrielli. A scholar is included among the top collaborators of Armando Gabrielli 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 Armando Gabrielli. Armando Gabrielli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 19 | |
| 3 | 15 | |
| 4 | Inflammation and DNA damage: cause, effect or bothbreakdown → | 109 |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 96 | |
| 12 | 54 | |
| 13 | 47 | |
| 14 | 71 | |
| 15 | 108 | |
| 16 | 15 | |
| 17 | 112 | |
| 18 | 88 | |
| 19 | Hepatitis B virus-related markers in secondary and in essential mixed cryoglobulinemias: A multicentric study of 596 cases | 14 |
| 20 | 46 |
About Armando Gabrielli
Armando Gabrielli is a scholar working on Pathology and Forensic Medicine, Dermatology and Immunology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (19 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers) and Inflammatory Myopathies and Dermatomyositis (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (443 citations), Dermatology (167 citations) and Rheumatology (251 citations). Armando Gabrielli has collaborated with scholars based in Italy, Switzerland and Norway. Frequent co-authors include Enrico V. Avvedimento, Thomas Krieg, Maria Giovanna Danieli, G Danieli, Marco Candela, Antonio Pezone, Christopher P. Denton, Antonio Procopio, F.H.J. van den Hoogen and Olivieri Fabiola. Their work appears in journals such as Nucleic Acids Research, Blood and Circulation Research.
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.