Íris Sawazaki‐Calone

854 total citations
14 papers, 509 citations indexed

About

Íris Sawazaki‐Calone is a scholar working on Otorhinolaryngology, Molecular Biology and Oncology. According to data from OpenAlex, Íris Sawazaki‐Calone has authored 14 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Otorhinolaryngology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Íris Sawazaki‐Calone's work include Head and Neck Cancer Studies (7 papers), Fibroblast Growth Factor Research (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Íris Sawazaki‐Calone is often cited by papers focused on Head and Neck Cancer Studies (7 papers), Fibroblast Growth Factor Research (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Íris Sawazaki‐Calone collaborates with scholars based in Brazil, Finland and United Kingdom. Íris Sawazaki‐Calone's co-authors include Tuula Salo, Ricardo D. Coletta, Alhadi Almangush, Luiz Paulo Kowalski, Antti Mäkitie, Ilmo Leivo, Rasheed Omobolaji Alabi, Mohammed Elmusrati, Caj Haglund and Carine Ervolino de Oliveira and has published in prestigious journals such as British Journal of Cancer, Experimental Cell Research and Oncotarget.

In The Last Decade

Íris Sawazaki‐Calone

14 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Íris Sawazaki‐Calone Brazil 12 189 159 133 115 99 14 509
Jacqueline Siok Gek Hwang Singapore 11 134 0.7× 148 0.9× 107 0.8× 35 0.3× 54 0.5× 25 405
Xiao‐Guang Ni China 9 146 0.8× 198 1.2× 142 1.1× 47 0.4× 107 1.1× 34 535
Daniele Moglia Italy 16 170 0.9× 489 3.1× 255 1.9× 35 0.3× 120 1.2× 32 874
Jon Sudbø Norway 11 153 0.8× 153 1.0× 226 1.7× 21 0.2× 97 1.0× 20 606
Carla Penner Canada 12 268 1.4× 309 1.9× 193 1.5× 31 0.3× 176 1.8× 18 732
Christopher Angel Australia 13 182 1.0× 363 2.3× 269 2.0× 18 0.2× 76 0.8× 31 663
Thomas Denize United States 12 39 0.2× 121 0.8× 129 1.0× 34 0.3× 98 1.0× 27 322
Yasir Suliman United States 7 33 0.2× 177 1.1× 190 1.4× 17 0.1× 129 1.3× 8 424
Sanne Kjær‐Frifeldt Denmark 12 31 0.2× 304 1.9× 154 1.2× 71 0.6× 168 1.7× 22 520

Countries citing papers authored by Íris Sawazaki‐Calone

Since Specialization
Citations

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

Fields of papers citing papers by Íris Sawazaki‐Calone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Íris Sawazaki‐Calone. 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 Íris Sawazaki‐Calone. The network helps show where Íris Sawazaki‐Calone may publish in the future.

Co-authorship network of co-authors of Íris Sawazaki‐Calone

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

All Works

14 of 14 papers shown
1.
Dourado, Maurício Rocha, Renato Assis Machado, Lívia Máris Ribeiro Paranaiba, et al.. (2021). Trophoblast cell surface antigen 2 expression predicts outcome in oral squamous cell carcinomas. Oral Diseases. 28(4). 1085–1093. 7 indexed citations
2.
Dourado, Maurício Rocha, Lívia Máris Ribeiro Paranaiba, Íris Sawazaki‐Calone, et al.. (2020). Prognostication for oral squamous cell carcinoma patients based on the tumour–stroma ratio and tumour budding. Histopathology. 76(6). 906–918. 41 indexed citations
3.
Dourado, Maurício Rocha, Carine Ervolino de Oliveira, Débora Campanella Bastos, et al.. (2020). Stanniocalcin 2 contributes to aggressiveness and is a prognostic marker for oral squamous cell carcinoma. Experimental Cell Research. 393(2). 112092–112092. 17 indexed citations
4.
Oliveira, Carine Ervolino de, Maurício Rocha Dourado, Íris Sawazaki‐Calone, et al.. (2020). Activin A triggers angiogenesis via regulation of VEGFA and its overexpression is associated with poor prognosis of oral squamous cell carcinoma. International Journal of Oncology. 57(1). 364–376. 21 indexed citations
5.
Dourado, Maurício Rocha, et al.. (2020). Prognostication for oral carcinomas based on two histological scoring systems (BD and iBD models). Oral Diseases. 27(4). 894–899. 5 indexed citations
6.
Alabi, Rasheed Omobolaji, Mohammed Elmusrati, Íris Sawazaki‐Calone, et al.. (2019). Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 475(4). 489–497. 79 indexed citations
7.
Alabi, Rasheed Omobolaji, Mohammed Elmusrati, Íris Sawazaki‐Calone, et al.. (2019). Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. International Journal of Medical Informatics. 136. 104068–104068. 105 indexed citations
8.
Galvis, Marisol Miranda, Alan Roger Santos‐Silva, Felipe Paiva Fonseca, et al.. (2017). Different patterns of expression of cell cycle control and local invasion‐related proteins in oral squamous cell carcinoma affecting young patients. Journal of Oral Pathology and Medicine. 47(1). 32–39. 27 indexed citations
9.
Sundquist, Elias, Joonas H. Kauppila, Johanna Veijola, et al.. (2017). Tenascin-C and fibronectin expression divide early stage tongue cancer into low- and high-risk groups. British Journal of Cancer. 116(5). 640–648. 31 indexed citations
10.
Dourado, Maurício Rocha, Carine Ervolino de Oliveira, Íris Sawazaki‐Calone, et al.. (2017). Clinicopathologic significance of ROCK2 expression in oral squamous cell carcinomas. Journal of Oral Pathology and Medicine. 47(2). 121–127. 12 indexed citations
11.
Rodrigues, Priscila Campioni, Íris Sawazaki‐Calone, Carine Ervolino de Oliveira, et al.. (2017). Fascin promotes migration and invasion and is a prognostic marker for oral squamous cell carcinoma. Oncotarget. 8(43). 74736–74754. 33 indexed citations
12.
Sawazaki‐Calone, Íris, et al.. (2016). Histopathological grading systems analysis of oral squamous cell carcinomas of young patients. Medicina oral, patología oral y cirugía bucal. 21(3). e285–e298. 19 indexed citations
13.
Pinto, Elizabete Bagordakis, Íris Sawazaki‐Calone, Carolina Carneiro Soares Macedo, et al.. (2016). Secretome profiling of oral squamous cell carcinoma-associated fibroblasts reveals organization and disassembly of extracellular matrix and collagen metabolic process signatures. Tumor Biology. 37(7). 9045–9057. 57 indexed citations
14.
Sawazaki‐Calone, Íris, et al.. (2015). The prognostic value of histopathological grading systems in oral squamous cell carcinomas. Oral Diseases. 21(6). 755–761. 55 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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