Michael Ruvolo

611 total citations
10 papers, 449 citations indexed

About

Michael Ruvolo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Michael Ruvolo has authored 10 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Michael Ruvolo's work include Epigenetics and DNA Methylation (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Gene expression and cancer classification (2 papers). Michael Ruvolo is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Gene expression and cancer classification (2 papers). Michael Ruvolo collaborates with scholars based in United States, Italy and Spain. Michael Ruvolo's co-authors include Mark A. Reynolds, Janice Au-Young, William F. Burkholder, Kathleen E. Mach, Alessandra Conio, Milena Bruzzone, Pierfranco Conté, S. Chiara, M.R. Sertoli and A. Rubagotti and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Molecular Microbiology.

In The Last Decade

Michael Ruvolo

10 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Ruvolo United States 8 239 110 92 73 52 10 449
Karen Carty United Kingdom 9 148 0.6× 122 1.1× 24 0.3× 37 0.5× 92 1.8× 18 381
Xianping Ding China 14 229 1.0× 135 1.2× 153 1.7× 77 1.1× 37 0.7× 55 508
Shangwei Li China 14 183 0.8× 117 1.1× 43 0.5× 16 0.2× 39 0.8× 29 488
Kenta Iijima Japan 14 432 1.8× 74 0.7× 50 0.5× 19 0.3× 121 2.3× 33 665
Shinji Komori Japan 15 209 0.9× 204 1.9× 193 2.1× 46 0.6× 36 0.7× 54 581
Simon Rajendran Ireland 9 147 0.6× 19 0.2× 125 1.4× 52 0.7× 48 0.9× 38 364
Jean Rousseaux France 11 138 0.6× 46 0.4× 107 1.2× 30 0.4× 13 0.3× 22 415
Lihong Bian China 9 236 1.0× 44 0.4× 24 0.3× 46 0.6× 31 0.6× 23 441
Yangxing Zhao China 9 208 0.9× 68 0.6× 78 0.8× 33 0.5× 34 0.7× 12 352
Thomas Walsh Ireland 15 214 0.9× 43 0.4× 70 0.8× 52 0.7× 8 0.2× 26 490

Countries citing papers authored by Michael Ruvolo

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ruvolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ruvolo

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

All Works

10 of 10 papers shown
1.
Ruvolo, Michael, Ángel Vilches‐Arenas, María Isabel López, et al.. (2023). Next‐generation sequencing of uveal melanoma with clinical and histological correlations: Prognostic value of new mutations in the PI3K/AKT/mTOR pathway. Clinical and Experimental Ophthalmology. 51(8). 822–834. 5 indexed citations
2.
Williams, Christina L., Alison A. Motsinger‐Reif, John M. Cullen, et al.. (2015). Canine urothelial carcinoma: genomically aberrant and comparatively relevant. Chromosome Research. 23(2). 311–331. 46 indexed citations
3.
Nejman, Deborah, Ravid Straussman, Israel Steinfeld, et al.. (2014). Molecular Rules Governing De Novo Methylation in Cancer. Cancer Research. 74(5). 1475–1483. 47 indexed citations
4.
Ruvolo, Michael, Kathleen E. Mach, & William F. Burkholder. (2006). Proteolysis of the replication checkpoint protein Sda is necessary for the efficient initiation of sporulation after transient replication stress in Bacillus subtilis. Molecular Microbiology. 60(6). 1490–1508. 46 indexed citations
5.
Miller, Neil, et al.. (2002). Cross-Hybridization of Closely Related Genes on High-Density Macroarrays. BioTechniques. 32(3). 620–625. 32 indexed citations
6.
Modrušan, Zora, Michael Ruvolo, Ilsa M. Coleman, et al.. (2001). Optimized T7 Amplification System for Microarray Analysis. BioTechniques. 31(4). 874–879. 65 indexed citations
7.
Au-Young, Janice, et al.. (2001). Hybridization Cross-Reactivity within Homologous Gene Families on Glass cDNA Microarrays. BioTechniques. 31(5). 1182–1192. 78 indexed citations
8.
Bruzzone, Milena, Pierfranco Conté, Michael Ruvolo, et al.. (1989). Evaluation of the Ovarian Cancer Antigen, CA-125, as a Tumor Marker. Oncology. 46(2). 117–122. 7 indexed citations
9.
Conté, Pierfranco, Milena Bruzzone, S. Chiara, et al.. (1986). A randomized trial comparing cisplatin plus cyclophosphamide versus cisplatin, doxorubicin, and cyclophosphamide in advanced ovarian cancer.. Journal of Clinical Oncology. 4(6). 965–971. 122 indexed citations
10.
Ragni, Nicola, et al.. (1986). Evaluation of the cochleovestibular function in patients treated with carboplatin for ovarian carcinoma.. PubMed. 5(6). 411–3. 1 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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