Roberta Salvini

36 papers receiving 501 citations

Peers

Roberta Salvini
Comparison fields: 5 of 106
  • Cell Biology 74
  • Biological Psychiatry 10
  • Rheumatology 60
  • Pathology and Forensic Medicine 71
  • Immunology 72
Replace Pietro Ferruzzi with:
Pietro Ferruzzi Italy
Maria E. Ariza United States
Kristijan Jezernik Slovenia
Sarah A. Flowers United States
Philippe Frossard Pakistan
Nasir Bashirelahi United States
Valentina La Verde Italy
Glenn Dorsam United States
Emily S. Winn-Deen United States
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Citations per field
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Citations per year

Countries citing papers authored by Roberta Salvini

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Salvini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberta Salvini, 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 Roberta Salvini Line = papers co-authored together Roberta Salvini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200657
2 200150
3 198845
4 201525
5
Autoantibodies to RNA-polymerases in Italian patients with systemic sclerosis.
200325
6 201723
7 201421
8 201221
9 201520
10 201719
11
Validation of a new immunoenzymatic method to detect antibodies to RNA polymerase III in systemic sclerosis.
200719
12 199618
13 200918
14 200717
15 199215
16 201113
17 200912
18
The effect of extracellular matrix modifications on UDP-glucose dehydrogenase activity in cultured human skin fibroblasts.
198612
19 200710
20 20179

About Roberta Salvini

Roberta Salvini is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 36 papers that have together received 511 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (8 papers), Systemic Sclerosis and Related Diseases (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Corneal surgery and disorders (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). The work is most often cited by research in Cell Biology (74 citations), Biological Psychiatry (10 citations), Rheumatology (60 citations), Pathology and Forensic Medicine (71 citations) and Immunology (72 citations). Roberta Salvini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Anna Bardoni, Paolo Iadarola, Simonetta Rindi, Simona Viglio, Carlomaurizio Montecucco, Giancarlo De Luca, Maurizia Valli, Marco Fumagalli, Marco Trinchera and Federica Meloni. Their work appears in journals such as Electrophoresis, The Journal of Heart and Lung Transplantation, Cell Biochemistry and Function, PLoS ONE and Journal of Chromatography A.

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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