I. Sciarra

816 total citations · 1 hit paper
18 papers, 575 citations indexed

About

I. Sciarra is a scholar working on Pathology and Forensic Medicine, Dermatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, I. Sciarra has authored 18 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 5 papers in Dermatology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in I. Sciarra's work include Systemic Sclerosis and Related Diseases (10 papers), Dermatologic Treatments and Research (4 papers) and Connective Tissue Growth Factor Research (2 papers). I. Sciarra is often cited by papers focused on Systemic Sclerosis and Related Diseases (10 papers), Dermatologic Treatments and Research (4 papers) and Connective Tissue Growth Factor Research (2 papers). I. Sciarra collaborates with scholars based in Italy, France and United States. I. Sciarra's co-authors include Giuseppe La Torre, Marta Chiappetta, Alessia Esposito, M. Vasile, Valeria Riccieri, Katia Stefanantoni, Guido Valesini, Nicoletta Iannace, Cristiano Alessandri and Insa Backhaus and has published in prestigious journals such as Annals of the Rheumatic Diseases, Quality of Life Research and Lara D. Veeken.

In The Last Decade

I. Sciarra

18 papers receiving 562 citations

Hit Papers

Definition, symptoms and risk of techno-stress: a systema... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Sciarra Italy 11 187 184 92 83 81 18 575
Elizabeth Price United Kingdom 18 188 1.0× 71 0.4× 34 0.4× 30 0.4× 93 1.1× 43 851
Megan N. Perez United States 13 44 0.2× 134 0.7× 91 1.0× 71 0.9× 30 0.4× 23 593
Dawn Odom United States 14 36 0.2× 57 0.3× 140 1.5× 28 0.3× 41 0.5× 46 681
Sujata M. Patil United States 15 50 0.3× 228 1.2× 340 3.7× 51 0.6× 25 0.3× 21 1.0k
Jada G. Hamilton United States 20 37 0.2× 95 0.5× 213 2.3× 42 0.5× 157 1.9× 74 1.3k
Christel J.M. de Blok Netherlands 14 820 4.4× 44 0.2× 60 0.7× 57 0.7× 31 0.4× 30 1.3k
Laura M. Katz United States 13 37 0.2× 25 0.1× 95 1.0× 37 0.4× 68 0.8× 22 820
Samyukta Mullangi United States 12 27 0.1× 42 0.2× 99 1.1× 113 1.4× 141 1.7× 46 593
Anna R. Franklin United States 14 17 0.1× 202 1.1× 254 2.8× 48 0.6× 22 0.3× 41 1000
Ville Autio Finland 18 55 0.3× 116 0.6× 151 1.6× 11 0.1× 39 0.5× 26 999

Countries citing papers authored by I. Sciarra

Since Specialization
Citations

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

Fields of papers citing papers by I. Sciarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Sciarra

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

All Works

18 of 18 papers shown
1.
Sciarra, I., M. Vasile, Alessia Carboni, et al.. (2020). Subclinical atherosclerosis in systemic sclerosis: Different risk profiles among patients according to clinical manifestations. International Journal of Rheumatic Diseases. 24(4). 502–509. 9 indexed citations
2.
Vasile, M., Jérôme Avouac, I. Sciarra, et al.. (2019). From VEDOSS to established systemic sclerosis diagnosis according to ACR/EULAR 2013 classification criteria: a French-Italian capillaroscopic survey.. PubMed. 36 Suppl 113(4). 82–87. 13 indexed citations
3.
Torre, Giuseppe La, Alessandra Sinopoli, Cristina Sestili, et al.. (2019). "GiochiAMO": a school-based smoking and alcohol prevention program for children - a pilot randomized field trial. Part 2.. PubMed. 30(4). 273–284. 6 indexed citations
4.
Adamo, Giovanna, I. Sciarra, Valentina Baccolini, et al.. (2019). [The elimination of measles and rubella in Italy].. PubMed. 73(5). 429–442. 3 indexed citations
5.
Stefanantoni, Katia, Nicoletta Iannace, I. Sciarra, et al.. (2019). AB0688 NEOPLASTIC RISK IN SYSTEMIC SCLEROSIS: A MONOCENTRIC STUDY. Annals of the Rheumatic Diseases. 78. 1805–1805. 1 indexed citations
6.
Torre, Giuseppe La, Alessia Esposito, I. Sciarra, & Marta Chiappetta. (2018). Definition, symptoms and risk of techno-stress: a systematic review. International Archives of Occupational and Environmental Health. 92(1). 13–35. 235 indexed citations breakdown →
7.
Cocchiara, Rosario Andrea, I. Sciarra, V D’Egidio, et al.. (2018). Returning to work after breast cancer: A systematic review of reviews. Work. 61(3). 463–476. 55 indexed citations
8.
Stefanantoni, Katia, I. Sciarra, Nicoletta Iannace, et al.. (2017). Occupational therapy integrated with a self-administered stretching program on systemic sclerosis patients with hand involvement.. PubMed. 34 Suppl 100(5). 157–161. 19 indexed citations
9.
Stefanantoni, Katia, I. Sciarra, M. Vasile, et al.. (2017). SAT0347 Disease modifying effect of iloprost in patients with systemic sclerosis and possible role of CXCL4 chemokine. Annals of the Rheumatic Diseases. 76. 903–903. 2 indexed citations
10.
Cocchiara, Rosario Andrea, I. Sciarra, V D’Egidio, et al.. (2017). Returning to work after breast cancer: a systematic review of reviews. European Journal of Public Health. 27(suppl_3). 11 indexed citations
11.
D’Egidio, V, Cristina Sestili, Maria Grazia Mancino, et al.. (2017). Counseling interventions delivered in women with breast cancer to improve health-related quality of life: a systematic review. Quality of Life Research. 26(10). 2573–2592. 35 indexed citations
12.
Torre, Giuseppe La, et al.. (2017). [New bibliometric indicators for the scientific literature: an evolving panorama].. PubMed. 168(2). e65–e71. 15 indexed citations
13.
Vasile, M., Jérôme Avouac, I. Sciarra, et al.. (2016). AB0621 From Vedoss To Established Systemic Sclerosis Diagnosis According To The New ACR/EULAR 2013 Classification Criteria: A French-Italian Capillaroscopic Survey. Annals of the Rheumatic Diseases. 75. 1116–1116. 1 indexed citations
15.
Riccieri, Valeria, M. Vasile, Nicoletta Iannace, et al.. (2013). Systemic sclerosis patients with and without pulmonary arterial hypertension: a nailfold capillaroscopy study. Lara D. Veeken. 52(8). 1525–1528. 66 indexed citations
16.
Riccieri, Valeria, Katia Stefanantoni, M. Vasile, et al.. (2011). Abnormal plasma levels of different angiogenic molecules are associated with different clinical manifestations in patients with systemic sclerosis.. PubMed. 29(2 Suppl 65). S46–52. 53 indexed citations
17.
Riccieri, Valeria, M. Vasile, I. Sciarra, et al.. (2010). Successful Immunosuppressive Treatment of Dermatomyositis: A Nailfold Capillaroscopy Survey. The Journal of Rheumatology. 37(2). 443–445. 9 indexed citations
18.
Riccieri, Valeria, Valentina Germano, Cristiano Alessandri, et al.. (2009). More severe nailfold capillaroscopy findings and anti-endothelial cell antibodies. Are they useful tools for prognostic use in systemic sclerosis?. PubMed. 26(6). 992–7. 25 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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