Mario Regazzoni

418 total citations
9 papers, 363 citations indexed

About

Mario Regazzoni is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Mario Regazzoni has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in Mario Regazzoni's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Mario Regazzoni is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Mario Regazzoni collaborates with scholars based in Italy and United States. Mario Regazzoni's co-authors include Maria I. Colnaghi, Sylvie Ménard, Elda Tagliabue, Silvia Miotti, Delia Mezzanzanica, Giuliana Anna Porro, Serenella M. Pupa, Silvana Canevari, Silvano Fasolato and Paolo Pizzetti and has published in prestigious journals such as The Journal of Urology, International Journal of Cancer and American Journal of Clinical Pathology.

In The Last Decade

Mario Regazzoni

8 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Regazzoni Italy	6	166	141	111	99	53	9	363
E. Seccamani Italy	5	321 1.9×	152 1.1×	96 0.9×	70 0.7×	23 0.4×	9	449
E. Schulze Germany	8	92 0.6×	215 1.5×	164 1.5×	114 1.2×	77 1.5×	17	486
Andreas Brunner Austria	13	28 0.2×	164 1.2×	159 1.4×	81 0.8×	28 0.5×	20	499
Yiqun Zhang China	10	77 0.5×	206 1.5×	52 0.5×	44 0.4×	14 0.3×	28	354
Toshiki Funakoshi Japan	8	29 0.2×	195 1.4×	91 0.8×	73 0.7×	10 0.2×	13	383
Ileana Bortolomai Italy	17	63 0.4×	283 2.0×	246 2.2×	122 1.2×	67 1.3×	20	586
Maria Veri Italy	8	248 1.5×	220 1.6×	270 2.4×	202 2.0×	5 0.1×	12	578
Vimlarani Chopra United States	7	19 0.1×	120 0.9×	95 0.9×	68 0.7×	26 0.5×	8	378
Maria J. Carnicer Spain	11	35 0.2×	333 2.4×	183 1.6×	148 1.5×	11 0.2×	18	611
Francesca Ottone Italy	5	22 0.1×	137 1.0×	206 1.9×	14 0.1×	112 2.1×	7	339

Countries citing papers authored by Mario Regazzoni

Since Specialization

Citations

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

Fields of papers citing papers by Mario Regazzoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Regazzoni

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

All Works

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9 of 9 papers shown

Filiberti, A., et al.. (1991). Problems after hysterectomy. A comparative content analysis of 60 interviews with cancer and non-cancer hysterectomized women.. PubMed. 12(6). 445–9. 6 indexed citations

Fasolato, Silvano, Sylvie Ménard, D Minucci, et al.. (1989). Immunohistochemical Reactivity of a Monoclonal Antibody Prepared against Human Ovarian Carcinoma on Normal and Pathological Female Genital Tissues. Tumori Journal. 75(5). 510–513. 40 indexed citations

Spatti, Gianbattista, et al.. (1987). Adjuvant Treatment with Melphalan in Ovarian Carcinoma with no Residual Disease following Surgery. Tumori Journal. 73(2). 157–162. 4 indexed citations

Miotti, Silvia, Silvana Canevari, Sylvie Ménard, et al.. (1987). Characterization of human ovarian carcinoma‐associated antigens defined by novel monoclonal antibodies with tumor‐restricted specificity. International Journal of Cancer. 39(3). 297–303. 279 indexed citations

Regazzoni, Mario, et al.. (1987). Adjuvant treatment with melphalan in ovarian carcinoma with no residual disease following surgery.. PubMed. 73(2). 157–62.

Regazzoni, Mario, et al.. (1987). A Double Determinant Radioimmunoassay Mov2-Mov8^* for Monitoring Ovarian Carcinomas: Definition of the Methodology. The International Journal of Biological Markers. 2(3). 161–168. 8 indexed citations

Ménard, Sylvie, Franco Rilke, Gabriella Della Torre, et al.. (1985). Sensitivity Enhancement of the Cytologic Detection of Cancer Cells in Effusions by Monoclonal Antibodies. American Journal of Clinical Pathology. 83(5). 571–576. 20 indexed citations

Ménard, Sylvie, Franco Rilke, Renato Mariani‐Costantini, et al.. (1985). Sensitivity Enhancement of the Cytologic Detection of Cancer Cells in Effusions by Monoclonal Antibodies. The Journal of Urology. 134(4). 842–842. 1 indexed citations

Colnaghi, Maria I., et al.. (1978). Fc Receptor-Like Structures on in Vitro-Cultured Human Ovarian Tumor Cells. Tumori Journal. 64(6). 587–596. 5 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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