U Picillo

16 papers receiving 518 citations

Peers

U Picillo
Comparison fields: 5 of 44
  • Rheumatology 300
  • Pathology and Forensic Medicine 228
  • Dermatology 98
  • Hematology 116
  • Orthopedics and Sports Medicine 76
Replace Lale Öçal with:
Lale Öçal Türkiye
Alexios Iliopoulos Greece
I. Castellví Spain
Ines Domenech United Kingdom
Hughes Gr United Kingdom
Maria Favarò Italy
P. F. Gambari Italy
Carlos A. Núñez‐Álvarez Mexico
Claire Saint‐Cyr Canada
Mário Newton Leitão de Azevedo Brazil
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Citations per year

Countries citing papers authored by U Picillo

Since Specialization
Citations

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

Fields of papers citing papers by U Picillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside U Picillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with U Picillo Line = papers co-authored together U Picillo links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Different antibody patterns and different prognoses in patients with scleroderma with various extent of skin sclerosis.
1986161
2 2011139
3 199477
4
Spectrum of cardiac involvement in systemic lupus erythematosus: echocardiographic, echo-Doppler observations and immunological investigation.
199333
5 200129
6 199520
7 199120
8 199719
9 199217
10 19837
11
Association of primary antiphospholipid syndrome with inherited activated protein C resistance.
19986
12
Antibodies to beta2-glycoprotein I in anticardiolipin negative patients.
19985
13 20044
14 19921
15
[Clinico-developmental aspects in 44 cases of polymyositis/dermatomyositis].
19891
16
[Neurological manifestations of systemic lupus erythematosus. Study of 53 cases].
19901
17 19811
18 19920

About U Picillo

U Picillo is a scholar working on Rheumatology, Pathology and Forensic Medicine, Neurology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 18 papers that have together received 541 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), Systemic Sclerosis and Related Diseases (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Peripheral Neuropathies and Disorders (3 papers), Skin Diseases and Diabetes (2 papers), Viral Infections and Immunology Research (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Rheumatology (300 citations), Pathology and Forensic Medicine (228 citations), Dermatology (98 citations), Hematology (116 citations) and Orthopedics and Sports Medicine (76 citations). U Picillo has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include S. Migliaresi, Gabriele Valentini, M Giordano, G Tirri, Gaetano Di Palma, Maria Tiziana Bertero, Savino Sciascia, Domenico Biasi, Antonio Brucato and Amelia Ruffatti. Their work appears in journals such as Annals of the Rheumatic Diseases, Clinical Rheumatology, Experimental Eye Research, Cardiology and The Lancet.

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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