E. Piccolini

488 total citations
9 papers, 257 citations indexed

About

E. Piccolini is a scholar working on Pulmonary and Respiratory Medicine, Biotechnology and Oral Surgery. According to data from OpenAlex, E. Piccolini has authored 9 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 2 papers in Biotechnology and 2 papers in Oral Surgery. Recurrent topics in E. Piccolini's work include Occupational and environmental lung diseases (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Pleural and Pulmonary Diseases (3 papers). E. Piccolini is often cited by papers focused on Occupational and environmental lung diseases (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Pleural and Pulmonary Diseases (3 papers). E. Piccolini collaborates with scholars based in Italy, Belarus and Russia. E. Piccolini's co-authors include Mario Botta, B. Castagneto, Manlio Mencoboni, Daniela Degiovanni, Andrea Ardizzoni, Luca Fumagalli, Luciano Mutti, Antonio Di Muzio, Enrico Aitini and Oscar Alabiso and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and Annals of Oncology.

In The Last Decade

E. Piccolini

9 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Piccolini Italy 5 230 38 24 23 19 9 257
Elisabetta Casalone Italy 7 93 0.4× 28 0.7× 6 0.3× 30 1.3× 11 0.6× 14 159
Wolf-Dieter Janthur Switzerland 7 110 0.5× 91 2.4× 41 1.7× 30 1.3× 13 0.7× 10 169
Keisuke Onoi Japan 3 72 0.3× 114 3.0× 16 0.7× 23 1.0× 3 0.2× 5 157
Alicia M. McConnell United States 6 113 0.5× 27 0.7× 6 0.3× 81 3.5× 5 0.3× 7 206
Praveen Aanur United States 5 56 0.2× 91 2.4× 6 0.3× 11 0.5× 7 0.4× 10 138
Hui Yi Chew Australia 5 38 0.2× 36 0.9× 5 0.2× 33 1.4× 11 0.6× 8 94
Kristina Burgers United States 3 77 0.3× 61 1.6× 7 0.3× 80 3.5× 4 0.2× 4 218
Stacey Ledoux Canada 4 41 0.2× 98 2.6× 6 0.3× 15 0.7× 5 0.3× 4 155
Liudi Yao United Kingdom 5 117 0.5× 24 0.6× 6 0.3× 52 2.3× 1 0.1× 9 188
Karen Howe United Kingdom 5 23 0.1× 63 1.7× 8 0.3× 27 1.2× 5 0.3× 7 114

Countries citing papers authored by E. Piccolini

Since Specialization
Citations

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

Fields of papers citing papers by E. Piccolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Piccolini

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

All Works

9 of 9 papers shown
1.
Guarrera, Simonetta, Clara Viberti, Giovanni Cugliari, et al.. (2018). Peripheral Blood DNA Methylation as Potential Biomarker of Malignant Pleural Mesothelioma in Asbestos-Exposed Subjects. Journal of Thoracic Oncology. 14(3). 527–539. 24 indexed citations
2.
Ceresoli, Giovanni Luca, Federica Grosso, Paolo Andrea Zucali, et al.. (2014). Prognostic factors in elderly patients with malignant pleural mesothelioma: results of a multicenter survey. British Journal of Cancer. 111(2). 220–226. 29 indexed citations
3.
Gattoni, Elisabetta, Federica Grosso, Annalisa Roveta, et al.. (2012). Outcomes of sarcomatoid malignant pleural mesothelioma, a distinct clinical entity.. Journal of Clinical Oncology. 30(15_suppl). 7084–7084. 1 indexed citations
4.
Betti, Marta, Daniela Ferrante, Simonetta Guarrera, et al.. (2011). XRCC1 and ERCC1 variants modify malignant mesothelioma risk: A case–control study. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 708(1-2). 11–20. 29 indexed citations
5.
Trincheri, Nicol Francesca, et al.. (2010). Aurora B kinase and malignant mesothelioma.. Journal of Clinical Oncology. 28(15_suppl). e21021–e21021. 2 indexed citations
6.
Betta, Pier Giacomo, Roberta Libener, Sara Orecchia, et al.. (2009). Tissue expression of osteopontin (OPN) and mesothelin (MES) in malignant pleural mesothelioma (MPM). An immunohistochemical study of 70 consecutive cases. Journal of Clinical Oncology. 27(15_suppl). e22102–e22102. 1 indexed citations
7.
Castagneto, B., Mario Botta, Enrico Aitini, et al.. (2007). Phase II study of pemetrexed in combination with carboplatin in patients with malignant pleural mesothelioma (MPM). Annals of Oncology. 19(2). 370–373. 102 indexed citations
8.
Castagneto, B., Silvia Zai, Luciano Mutti, et al.. (2001). Palliative and therapeutic activity of IL-2 immunotherapy in unresectable malignant pleural mesothelioma with pleural effusion. Lung Cancer. 31(2-3). 303–310. 67 indexed citations
9.
Rosa, Gaetano De, et al.. (1994). [Invasion of the chest wall in primary lung neoplasms].. PubMed. 49(12). 1263–8. 2 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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