V. Grosso

434 total citations
11 papers, 299 citations indexed

About

V. Grosso is a scholar working on Rheumatology, Genetics and Immunology. According to data from OpenAlex, V. Grosso has authored 11 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 5 papers in Genetics and 3 papers in Immunology. Recurrent topics in V. Grosso's work include Rheumatoid Arthritis Research and Therapies (7 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Systemic Lupus Erythematosus Research (4 papers). V. Grosso is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Systemic Lupus Erythematosus Research (4 papers). V. Grosso collaborates with scholars based in Italy. V. Grosso's co-authors include Roberto Caporali, Sara Monti, Monica Todoerti, Lorenzo Cavagna, Nicola Boffini, G. Crepaldi, Giovanni Cagnotto, Raffaele Pellerito, Fabiola Atzeni and Chiara Bazzani and has published in prestigious journals such as Annals of the Rheumatic Diseases, BioMed Research International and Lara D. Veeken.

In The Last Decade

V. Grosso

11 papers receiving 288 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Grosso Italy 5 137 87 51 44 42 11 299
Mohamed Osama Hegazi Kuwait 11 81 0.6× 72 0.8× 31 0.6× 24 0.5× 36 0.9× 34 266
P. Arlet France 11 114 0.8× 63 0.7× 36 0.7× 42 1.0× 32 0.8× 45 279
Yeonghee Eun South Korea 14 128 0.9× 103 1.2× 35 0.7× 89 2.0× 75 1.8× 40 508
Evelyn Sarnes United States 4 185 1.4× 86 1.0× 57 1.1× 135 3.1× 17 0.4× 12 361
Brian Bekker Hansen Denmark 13 95 0.7× 33 0.4× 28 0.5× 53 1.2× 57 1.4× 20 441
María Auxiliadora Martín Martínez Spain 9 244 1.8× 32 0.4× 27 0.5× 104 2.4× 41 1.0× 36 366
L. Cunha-Miranda Portugal 10 210 1.5× 44 0.5× 12 0.2× 51 1.2× 39 0.9× 35 321
Silvia López Spain 8 69 0.5× 72 0.8× 26 0.5× 24 0.5× 26 0.6× 16 284
Romi Bloom United States 10 65 0.5× 49 0.6× 68 1.3× 26 0.6× 85 2.0× 16 291
Dimitrios Boumpas Greece 8 78 0.6× 35 0.4× 22 0.4× 79 1.8× 32 0.8× 37 413

Countries citing papers authored by V. Grosso

Since Specialization
Citations

This map shows the geographic impact of V. Grosso'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 V. Grosso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Grosso more than expected).

Fields of papers citing papers by V. Grosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Grosso. 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 V. Grosso. The network helps show where V. Grosso may publish in the future.

Co-authorship network of co-authors of V. Grosso

This figure shows the co-authorship network connecting the top 25 collaborators of V. Grosso. A scholar is included among the top collaborators of V. Grosso 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 V. Grosso. V. Grosso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Monti, Sara, V. Grosso, Monica Todoerti, & Roberto Caporali. (2018). Randomized controlled trials and real-world data: differences and similarities to untangle literature data. Lara D. Veeken. 57(Supplement_7). vii54–vii58. 100 indexed citations
2.
Manara, M., Roberto Caporali, Ennio Giulio Favalli, et al.. (2017). Two-year retention rate of golimumab in rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis: data from the LORHEN registry.. PubMed. 35(5). 804–809. 21 indexed citations
3.
4.
Favalli, Ennio Giulio, L. Sinigaglia, Andrea Becciolini, et al.. (2017). Two‐year persistence of golimumab as second‐line biologic agent in rheumatoid arthritis as compared to other subcutaneous tumor necrosis factor inhibitors: real‐life data from the LORHEN registry. International Journal of Rheumatic Diseases. 21(2). 422–430. 21 indexed citations
5.
Grosso, V., Roberto Gorla, Piercarlo Sarzi‐Puttini, et al.. (2015). THU0232 Golimumab Therapy Retention Rates in Patients with Rheumatoid Arthritis and Seronegative Spondyloarthritis: Data from the Italian Lorhen Registry. Annals of the Rheumatic Diseases. 74. 280–280. 2 indexed citations
6.
Grosso, V., Roberto Gorla, Piercarlo Sarzi‐Puttini, et al.. (2015). FRI0149 Fifteen Years of Biological Treatment for Rheumatoid Arthritis: Data from the Italian Lorhen Registry. Annals of the Rheumatic Diseases. 74. 476–476. 3 indexed citations
7.
Grosso, V., et al.. (2015). AB0401 Anxiety and Depression in Patients with Rheumatoid Arthritis Treated with Biological Drugs: Prevalence and Relationship with Disease Activity. Annals of the Rheumatic Diseases. 74. 1027–1027. 2 indexed citations
8.
9.
Cavagna, Lorenzo, Sara Monti, V. Grosso, et al.. (2013). The Multifaceted Aspects of Interstitial Lung Disease in Rheumatoid Arthritis. BioMed Research International. 2013. 1–13. 84 indexed citations
10.
Grosso, V., Emanuela Boveri, Laura Bogliolo, Carlomaurizio Montecucco, & Roberto Caporali. (2013). Diffuse alveolar hemorrhage as a manifestation of Behçet disease. Reumatismo. 65(3). 138–41. 1 indexed citations
11.
Cavagna, Lorenzo, et al.. (2012). Atherosclerosis and Rheumatoid Arthritis: More Than a Simple Association. Mediators of Inflammation. 2012. 1–8. 60 indexed citations

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.

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