M.L. Maestro

1.1k total citations
27 papers, 873 citations indexed

About

M.L. Maestro is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, M.L. Maestro has authored 27 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 8 papers in Molecular Biology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in M.L. Maestro's work include Genetic factors in colorectal cancer (6 papers), Epigenetics and DNA Methylation (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). M.L. Maestro is often cited by papers focused on Genetic factors in colorectal cancer (6 papers), Epigenetics and DNA Methylation (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). M.L. Maestro collaborates with scholars based in Spain, United Kingdom and United States. M.L. Maestro's co-authors include Manuel Perucho, Simó Schwartz, Hiroyuki Yamamoto, Manuel Navarro, María Teresa Sanz Casla, Jaume Reventós, Marta Vidaurreta, Manuel Arroyo, Eduardo Díaz‐Rubio and Javier Sastre and has published in prestigious journals such as Cancer, British Journal of Cancer and Annals of Oncology.

In The Last Decade

M.L. Maestro

25 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.L. Maestro Spain 14 571 370 285 249 185 27 873
Andrea Terrasi Italy 11 340 0.6× 268 0.7× 271 1.0× 123 0.5× 123 0.7× 17 669
Kazuma Sakuraba Japan 18 286 0.5× 194 0.5× 549 1.9× 146 0.6× 113 0.6× 34 845
Kazuyoshi Ishibashi Japan 19 314 0.5× 197 0.5× 580 2.0× 172 0.7× 116 0.6× 45 865
Anna-Maria Larsson Sweden 14 480 0.8× 345 0.9× 232 0.8× 62 0.2× 135 0.7× 27 859
Tom Lesluyes France 18 280 0.5× 230 0.6× 353 1.2× 86 0.3× 325 1.8× 38 816
Ricardo Rezola Spain 10 354 0.6× 287 0.8× 517 1.8× 79 0.3× 50 0.3× 17 793
Maximilian Aigner Germany 7 458 0.8× 182 0.5× 143 0.5× 71 0.3× 115 0.6× 7 668
Marco Petronio France 4 407 0.7× 313 0.8× 166 0.6× 37 0.1× 113 0.6× 5 567
Simonetta Orlandini Italy 12 530 0.9× 161 0.4× 368 1.3× 125 0.5× 41 0.2× 18 812
Su Hwan Kang South Korea 14 452 0.8× 358 1.0× 226 0.8× 144 0.6× 160 0.9× 59 842

Countries citing papers authored by M.L. Maestro

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Maestro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Maestro. 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 M.L. Maestro. The network helps show where M.L. Maestro may publish in the future.

Co-authorship network of co-authors of M.L. Maestro

This figure shows the co-authorship network connecting the top 25 collaborators of M.L. Maestro. A scholar is included among the top collaborators of M.L. Maestro 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 M.L. Maestro. M.L. Maestro 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.
Sotelo, Miguel J., Javier Sastre, M.L. Maestro, et al.. (2014). Role of circulating tumor cells as prognostic marker in resected stage III colorectal cancer. Annals of Oncology. 26(3). 535–541. 68 indexed citations
2.
3.
Kraan, Jaco, Stefan Sleijfer, Michiel Strijbos, et al.. (2010). External quality assurance of circulating tumor cell enumeration using the CellSearch® system: A feasibility study. Cytometry Part B Clinical Cytometry. 80B(2). 112–118. 85 indexed citations
4.
Sastre, Javier, M.L. Maestro, Javier Puente, et al.. (2008). Circulating tumor cells in colorectal cancer: correlation with clinical and pathological variables. Annals of Oncology. 19(5). 935–938. 185 indexed citations
5.
García-Sáenz, José Á., Miguel Martín, M.L. Maestro, et al.. (2006). Circulating tumoral cells lack circadian-rhythm in hospitalized metastasic breast cancer patients. Clinical & Translational Oncology. 8(11). 826–829. 9 indexed citations
6.
Rubio, José Antonio, Miguel A. Rubio, Lucio Cabrerizo, et al.. (2006). Effects of pork vs veal consumption on serum lipids in healthy subjects.. PubMed. 21(1). 75–83. 9 indexed citations
7.
Casla, María Teresa Sanz, et al.. (2005). Telomerase Activity as a Prognostic Factor in Colorectal Cancer. Oncology Research and Treatment. 28(11). 553–557. 17 indexed citations
8.
Casla, María Teresa Sanz, et al.. (2005). p16 Gene Methylation in Colorectal Tumors: Correlation with Clinicopathological Features and Prognostic Value. Digestive Diseases. 23(2). 151–155. 18 indexed citations
9.
Casla, María Teresa Sanz, M.L. Maestro, Ines Zanna, et al.. (2003). Loss of heterozygosity and methylation of p16 in renal cell carcinoma. Urological Research. 31(3). 159–162. 20 indexed citations
10.
Maestro, M.L., María Teresa Sanz Casla, Jesús Moreno Sierra, et al.. (2000). Loss of Heterozygosity on the Short Arm of Chromosome 3 in Renal Cancer. Oncology. 59(2). 126–130. 11 indexed citations
11.
Maestro, M.L., María Teresa Sanz Casla, Jesús Moreno Sierra, et al.. (2000). [5'CpG island methylation of the suppressor gene p16/CDKN2/MTS1 in renal carcinoma].. PubMed. 53(5). 417–23. 1 indexed citations
12.
Cantero, Ramón, Antonio J. Torres, M.L. Maestro, et al.. (1999). Use of Possible Synergistic Expression of p53 and p185 as a Prognostic Tool for Stage I Non‐small‐cell Lung Cancer. World Journal of Surgery. 23(12). 1294–1300. 4 indexed citations
13.
Adrover, Encarna, et al.. (1999). Expression of high p53 levels in colorectal cancer: a favourable prognostic factor. British Journal of Cancer. 81(1). 122–126. 30 indexed citations
14.
Maestro, M.L., et al.. (1999). Tissue Quantification of CA 125 in Epithelial Ovarian Cancer. The International Journal of Biological Markers. 14(2). 106–114. 22 indexed citations
15.
Schwartz, Simó, Hiroyuki Yamamoto, Manuel Navarro, et al.. (1999). Frameshift mutations at mononucleotide repeats in caspase-5 and other target genes in endometrial and gastrointestinal cancer of the microsatellite mutator phenotype.. PubMed. 59(12). 2995–3002. 183 indexed citations
16.
Maestro, M.L., et al.. (1999). [Prognostic value of heterozygosity loss in chromosome 3p in non-microcytic bronchogenic carcinoma].. PubMed. 112(14). 527–9. 1 indexed citations
17.
Sánchez-Pernaute, Andrés, Antonio Torres, Pilar Iniesta, et al.. (1998). Prognostic significance of p53 gene mutations in squamous cell carcinoma of the lung.. Oncology Reports. 5(5). 1129–33. 3 indexed citations
18.
19.
Pollán, Marina, et al.. (1995). Prognostic significance of preoperative serum CA 19.9 assay in patients with colorectal carcinoma.. PubMed. 14(6B). 2819–25. 19 indexed citations
20.
Picardo, Antonio, Antonio J. Torres, M.L. Maestro, et al.. (1994). Quantitative analysis of carcinoembryonic antigen, squamous cell carcinoma antigen, CA 125, and CA 50 cytosolic content in non-small cell lung cancer. Cancer. 73(9). 2305–2311. 19 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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