G. La Montagna
- Pathology and Forensic Medicine top 1%
- Rheumatology top 1%
- Epidemiology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Gabriele ValentiniG TirriAntonio BellastellaGiovanni AmatoD. MalesciGiovanna CuomoLuigi SaccàAntonio Cittadini
- Topics
- Systemic Sclerosis and Related Diseases (16 papers)Rheumatoid Arthritis Research and Therapies (11 papers)Systemic Lupus Erythematosus Research (10 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of the American Society of NephrologyAnnals of the Rheumatic Diseases
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
G. La Montagna
58 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Pathology and Forensic Medicine 1.0k
- Rheumatology 647
- Epidemiology 445
- Molecular Biology 427
- Endocrinology, Diabetes and Metabolism 409
Countries citing papers authored by G. La Montagna
This map shows the geographic impact of G. La Montagna'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. La Montagna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. La Montagna more than expected).
Fields of papers citing papers by G. La Montagna
This network shows the impact of papers produced by G. La Montagna. 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. La Montagna. The network helps show where G. La Montagna may publish in the future.
Co-authorship network of co-authors of G. La Montagna
This figure shows the co-authorship network connecting the top 25 collaborators of G. La Montagna. A scholar is included among the top collaborators of G. La Montagna 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 G. La Montagna. G. La Montagna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 29 | |
| 5 | 21 | |
| 6 | 27 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 88 | |
| 12 | 34 | |
| 13 | 13 | |
| 14 | Systemic Sclerosisbreakdown → | 551 |
| 15 | 1 | |
| 16 | Quality of life assessment during six months of NSAID treatment [Gonarthrosis and Quality of Life (GOAL) Study]. | 15 |
| 17 | Clinical pattern of pain in rheumatoid arthritis. | 9 |
| 18 | I pigmenti : prontuario per l'arte e il restauro | 11 |
| 19 | 42 | |
| 20 | 2 |
About G. La Montagna
G. La Montagna is a scholar working on Rheumatology, Pathology and Forensic Medicine and Nephrology, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (16 papers), Rheumatoid Arthritis Research and Therapies (11 papers) and Systemic Lupus Erythematosus Research (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Rheumatology (647 citations) and Dermatology (318 citations). G. La Montagna has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gabriele Valentini, G Tirri, Antonio Bellastella, Giovanni Amato, D. Malesci, Giovanna Cuomo, Luigi Saccà, Antonio Cittadini, Sergio Fazio and Carlo Carella. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of the American Society of Nephrology and Annals of the Rheumatic Diseases.
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.