G. Natalello
Impact in
- Dermatology top 10%
- Dermatological and COVID-19 studies
-
- Systemic Sclerosis and Related Diseases
Papers in
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- Systemic Sclerosis and Related Diseases 14
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 7
- Medical Imaging and Pathology Studies 4
- Co-authors
- Enrico De Lorenzis (19 shared papers)Silvia Laura Bosello (18 shared papers)Lucrezia Verardi (12 shared papers)Elisa Gremese (12 shared papers)Laura Gigante (9 shared papers)Corrado Campochiaro (3 shared papers)Moreno Tresoldi (1 shared paper)Anna Maria Martone (2 shared papers)
- Journals
- Annals of the Rheumatic Diseases (11 papers)Microvascular Research (2 papers)RMD Open (1 paper)Clinical Rheumatology (1 paper)Clinical and Experimental Rheumatology (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
G. Natalello
21 papers receiving 163 citations
Peers
Comparison fields: 5 of 50
- Dermatology 37
- Pathology and Forensic Medicine 57
- Rheumatology 37
- Infectious Diseases 36
- Biological Psychiatry 4
Countries citing papers authored by G. Natalello
This map shows the geographic impact of G. Natalello'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 G. Natalello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Natalello more than expected).
Fields of papers citing papers by G. Natalello
This network shows the impact of papers produced by G. Natalello. 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 G. Natalello. The network helps show where G. Natalello may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Natalello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2020 | 25 | |
| 3 | Gut microbiota analysis in systemic sclerosis according to disease characteristics and nutritional status. | 2020 | 20 |
| 4 | 2020 | 19 | |
| 5 | 2022 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2022 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2019 | 1 |
About G. Natalello
G. Natalello is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Immunology, Rheumatology and Surgery, having authored 24 papers that have together received 165 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Medical Imaging and Pathology Studies (4 papers), Spondyloarthritis Studies and Treatments (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Tryptophan and brain disorders (3 papers), COVID-19 Clinical Research Studies (2 papers) and Inflammatory Myopathies and Dermatomyositis (2 papers). The work is most often cited by research in Dermatology (37 citations), Pathology and Forensic Medicine (57 citations), Rheumatology (37 citations), Infectious Diseases (36 citations) and Biological Psychiatry (4 citations). G. Natalello has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Enrico De Lorenzis, Silvia Laura Bosello, Lucrezia Verardi, Elisa Gremese, Laura Gigante, Corrado Campochiaro, Moreno Tresoldi, Anna Maria Martone, Marco Ripa and Lorenzo Dagna. Their work appears in journals such as Annals of the Rheumatic Diseases, Microvascular Research, RMD Open, Clinical Rheumatology and Clinical and Experimental Rheumatology.
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.