R. Mione

809 total citations
46 papers, 629 citations indexed

About

R. Mione is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, R. Mione has authored 46 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Oncology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R. Mione's work include Glycosylation and Glycoproteins Research (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). R. Mione is often cited by papers focused on Glycosylation and Glycoproteins Research (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). R. Mione collaborates with scholars based in Italy, Malaysia and United States. R. Mione's co-authors include Ruggero Dittadi, Massimo Gion, Antonette E. Leon, Massimo Gion, Carlo Gatti, O. Nascimben, J.F.R. Robertson, Diana Lüftner, K. Possinger and Rafael Molina and has published in prestigious journals such as Gastroenterology, Cancer and British Journal of Cancer.

In The Last Decade

R. Mione

45 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Mione Italy 14 282 280 150 143 118 46 629
R. Molina Spain 9 299 1.1× 251 0.9× 108 0.7× 240 1.7× 163 1.4× 16 689
Virpi Rantanen Finland 14 411 1.5× 283 1.0× 109 0.7× 149 1.0× 118 1.0× 33 736
R Bettelheim United Kingdom 9 435 1.5× 174 0.6× 176 1.2× 233 1.6× 116 1.0× 12 724
Eamonn P. Dunphy United States 12 365 1.3× 220 0.8× 142 0.9× 205 1.4× 172 1.5× 18 799
J. Mendelsohn United States 10 373 1.3× 266 0.9× 251 1.7× 77 0.5× 164 1.4× 19 686
Vincent J. Bakanauskas United States 8 428 1.5× 685 2.4× 117 0.8× 219 1.5× 230 1.9× 8 975
Mark G. Federici United States 12 228 0.8× 201 0.7× 119 0.8× 77 0.5× 62 0.5× 14 635
Svend A. Engelholm Denmark 17 262 0.9× 177 0.6× 70 0.5× 145 1.0× 113 1.0× 37 693
Christian Gulmann Ireland 15 275 1.0× 384 1.4× 97 0.6× 121 0.8× 208 1.8× 40 861
E. Martin France 15 266 0.9× 206 0.7× 89 0.6× 101 0.7× 103 0.9× 58 779

Countries citing papers authored by R. Mione

Since Specialization
Citations

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

Fields of papers citing papers by R. Mione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mione

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

All Works

20 of 20 papers shown
1.
Gion, Massimo, Patrizia Boracchi, Ruggero Dittadi, et al.. (2002). Prognostic role of serum CA15.3 in 362 node-negative breast cancers. An old player for a new game. European Journal of Cancer. 38(9). 1181–1188. 47 indexed citations
2.
Mione, R., Antonette E. Leon, Diana Lüftner, et al.. (2001). CA27.29. European Journal of Cancer. 37(3). 355–363. 65 indexed citations
3.
Gion, Massimo, R. Mione, Filiberto Zattoni, et al.. (2000). Clinical Evaluation of Percent Free Prostate–Specific Antigen Using the AxSYM System in the Best Analytical Scenario. European Urology. 37(4). 460–469. 2 indexed citations
4.
Gion, Massimo, et al.. (1998). How CA 125 Is Used in the Routine Follow-Up of Ovarian Cancer:A Survey of 29 Italian Hospitals. Tumor Biology. 19(4). 269–274. 1 indexed citations
5.
Dittadi, Ruggero, Alessandra Rosalba Brazzale, R. Mione, et al.. (1998). Quantitative chemiluminescent immunoassay of p53: prognostic significance in 220 node-negative breast cancer tissue.. PubMed. 17(6D). 4691–6. 4 indexed citations
6.
Gion, Massimo, R. Mione, Gianni Cappelli, et al.. (1995). Tumor markers in breast cancer follow-up: A potentially useful parameter still awaiting definitive assessment. Annals of Oncology. 6. S31–S35. 23 indexed citations
7.
Mione, R., Ruggero Dittadi, Maria Romanelli, et al.. (1995). Relationship between cathepsin D and other pathological and biological parameters in 1752 patients with primary breast cancer. European Journal of Cancer. 31(5). 671–677. 27 indexed citations
8.
Gion, Massimo, et al.. (1994). Tissue Polypeptide Antigen and Tissue Polypeptide Specific Antigen in Primary Breast Cancer. Evaluation in Serum and Tutmour Tissue. Clinical Chemistry and Laboratory Medicine (CCLM). 32(10). 779–87. 2 indexed citations
9.
Gion, Massimo, et al.. (1994). Serum CA549 in primary breast cancer: comparison with CA15.3 and MCA. British Journal of Cancer. 69(4). 721–725. 10 indexed citations
10.
Gión, María, et al.. (1993). CA549 IMMUNOASSAY IN BREAST-TISSUE - COMPARISON WITH CA15.3 AND MCA. International Journal of Oncology. 3(4). 695–9.
11.
Gion, Massimo, R. Mione, Giulio Vignati, et al.. (1993). Variability of Tumor Markers in the Follow-Up of Patients Radically Resected for Breast Cancer. Tumor Biology. 14(6). 325–333. 11 indexed citations
12.
Gion, Massimo, R. Mione, Giovanni Pappagallo, et al.. (1993). Tissue polypeptide antigen in breast cancer cytosol: a new effective prognostic indicator. European Journal of Cancer. 29(1). 66–69. 8 indexed citations
13.
Mione, R., Carlo Gatti, O. Nascimben, et al.. (1993). PS2 in breast cancer – alternative or complementary tool to steroid receptor status? Evaluation of 446 cases. British Journal of Cancer. 68(2). 374–379. 20 indexed citations
14.
15.
Gion, Massimo, R. Mione, Carlo Tremolada, et al.. (1991). Tumor-Associated Trypsin Inhibitor (Tati) in Primary Esophageal Carcinoma. Scandinavian Journal of Clinical and Laboratory Investigation. 51(sup207). 37–41. 8 indexed citations
16.
Gion, Massimo, et al.. (1991). The tumour associated antigen CA15.3 in primary breast cancer. Evaluation of 667 cases. British Journal of Cancer. 63(5). 809–813. 42 indexed citations
17.
Mione, R., et al.. (1990). Tissue polypeptide antigen in tumor cytosol: A new prognostic indicator in primary breast cancer. Breast Cancer Research and Treatment. 17(1). 15–21. 6 indexed citations
18.
Bombardieri, Emilio, et al.. (1989). A mucinous-like carcinoma-associated antigen (MCA) in the tissue and blood of patients with primary breast cancer. Cancer. 63(3). 490–495. 36 indexed citations
19.
Gion, Massimo, et al.. (1988). Tumor marker radioimmunoassays in gastric juice. Gastroenterology. 94(6). 1271–1275. 3 indexed citations
20.
Forti, Efrat, et al.. (1986). [Determination of cytoplasmic estrogen and progesterone receptors in breast carcinoma: comparison of a histochemical and a radiometric method].. PubMed. 77(1049). 305–9. 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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