Á. Ruibal

1.1k total citations
75 papers, 526 citations indexed

About

Á. Ruibal is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Á. Ruibal has authored 75 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 24 papers in Molecular Biology and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Á. Ruibal's work include Glycosylation and Glycoproteins Research (11 papers), Breast Cancer Treatment Studies (11 papers) and Medical Imaging Techniques and Applications (8 papers). Á. Ruibal is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Breast Cancer Treatment Studies (11 papers) and Medical Imaging Techniques and Applications (8 papers). Á. Ruibal collaborates with scholars based in Spain, Mexico and Chile. Á. Ruibal's co-authors include J Genollá, Francisco J. Vizoso, Rámón Colomer, J. Collazos, Luis Salvador‐Carulla, Irene Diez‐Itza, Carlos López-Otı́n, G Encabo, Luis Sánchez‐Pulido and A.M. Merino and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and The Journal of Urology.

In The Last Decade

Á. Ruibal

71 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Á. Ruibal Spain 13 195 187 127 78 73 75 526
Christian R. De Potter Belgium 13 252 1.3× 175 0.9× 106 0.8× 59 0.8× 69 0.9× 17 585
Julie L. Flowers United States 7 235 1.2× 216 1.2× 134 1.1× 62 0.8× 74 1.0× 7 653
A. M. Gassel Germany 13 93 0.5× 129 0.7× 72 0.6× 55 0.7× 79 1.1× 30 521
Y Sugisaki Japan 10 89 0.5× 269 1.4× 71 0.6× 87 1.1× 58 0.8× 26 713
Adi Gazdar United States 10 227 1.2× 377 2.0× 135 1.1× 172 2.2× 41 0.6× 15 670
E Patsouris Greece 13 156 0.8× 166 0.9× 89 0.7× 54 0.7× 64 0.9× 31 393
Marcella Falchetti Italy 16 274 1.4× 225 1.2× 107 0.8× 126 1.6× 78 1.1× 19 803
Sandeep Kumar Parvathareddy Saudi Arabia 15 213 1.1× 280 1.5× 139 1.1× 84 1.1× 63 0.9× 57 626
B Gairard France 13 337 1.7× 239 1.3× 160 1.3× 42 0.5× 71 1.0× 32 644
Marco Greco Italy 11 175 0.9× 124 0.7× 146 1.1× 54 0.7× 128 1.8× 21 550

Countries citing papers authored by Á. Ruibal

Since Specialization
Citations

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

Fields of papers citing papers by Á. Ruibal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Á. Ruibal

This figure shows the co-authorship network connecting the top 25 collaborators of Á. Ruibal. A scholar is included among the top collaborators of Á. Ruibal 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 Á. Ruibal. Á. Ruibal 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.
Herranz, Míchel, et al.. (2018). Dedicated breast PET value to evaluate BI-RADS 4 breast lesions. European Journal of Radiology. 108. 201–207. 7 indexed citations
2.
Silva‐Rodríguez, Jesús, et al.. (2014). Simulated FDG-PET studies for the assessment of SUV quantification methods. Revista Española de Medicina Nuclear e Imagen Molecular. 34(1). 13–18. 9 indexed citations
3.
Bitar, Ziad El, D. Ros, Javier Pavı́a, et al.. (2014). The performance of a hybrid analytical-Monte Carlo system response matrix in pinhole SPECT reconstruction. Physics in Medicine and Biology. 59(24). 7573–7585. 2 indexed citations
4.
Herranz, Míchel, et al.. (2012). Breast carcinomas with hyperprolactinemia at the time of diagnosis-clinico-biological association. Gynecological Endocrinology. 28(4). 278–281. 1 indexed citations
5.
6.
7.
Fernández, Lara P., Roger L. Milne, Eva Barroso, et al.. (2006). Estrogen and progesterone receptor gene polymorphisms and sporadic breast cancer risk: A Spanish case‐control study. International Journal of Cancer. 119(2). 467–471. 27 indexed citations
8.
Ruibal, Á., et al.. (2006). La expresión del receptor del factor de crecimiento epidérmico (EGFR) en carcinomas mamarios hormonoindependientes. Revista Española de Medicina Nuclear. 25(1). 15–19. 1 indexed citations
9.
Arias, José Ignacio, et al.. (2005). pS2 citosólica y proliferación celular en carcinomas ductales infiltrantes de mama hormonodependientes. Revista Española de Medicina Nuclear. 24(3). 185–190. 2 indexed citations
10.
Díaz, José A., et al.. (2004). Absceso hepático demostrado mediante gammagrafía con 67Ga-citrato dentro de un diagnóstico de fiebre de origen desconocido. Revista Española de Medicina Nuclear. 23(6). 417–420. 1 indexed citations
11.
Ruibal, Á., et al.. (2002). Estudio de la concentración citosólica de pS2 en 154 carcinomas pulmonares no microcíticos. Correlación con otros parámetros clínico-biológicos. Revista Española de Medicina Nuclear. 21(2). 109–114. 4 indexed citations
12.
Bocos, Carlos, et al.. (2002). PAI-1 Promoter Polymorphism Modulates uPA-PAI Complex Accumulation by Breast Cancer Cells. Oncology. 62(3). 286–290. 17 indexed citations
13.
Tejerina, A., et al.. (1999). Biopsia de lesiones radiológicamente sospechosas no palpables de mama mediante el sistema ABBI: experiencia del Centro de Patología de la Mama de Madrid. Revista de Senología y Patología Mamaria. 12(4). 165–169. 1 indexed citations
14.
Schneider, Jens, et al.. (1999). Utilización de factores pronósticos tumorales para predecir la invasión ganglionar de la axila en cáncer de mama precoz.. Revista de Senología y Patología Mamaria. 12(1). 7–11.
15.
Schneider, J., et al.. (1999). Histologic Grade and CD44 Are Independent Predictors of Axillary Lymph Node Invasion in Early (T1) Breast Cancer. Tumor Biology. 20(6). 319–330. 28 indexed citations
16.
Schneider, J., et al.. (1999). Preoperative CA-125, CA 19-9 and Nuclear Magnetic Resonance in Endometrial Carcinoma: Correlation with Surgical Stage. Tumor Biology. 20(1). 25–29. 8 indexed citations
17.
Diez‐Itza, Irene, et al.. (1993). Cathepsin D in breast secretions from women with breast cancer. British Journal of Cancer. 67(5). 1076–1081. 14 indexed citations
18.
Collazos, J., J Genollá, M.T. Allende, & Á. Ruibal. (1993). Serum CA 125 levels in patients with non-malignant liver diseases without ascites. Journal of Molecular Medicine. 71(3). 239–239. 1 indexed citations
19.
Collazos, J., J Genollá, & Á. Ruibal. (1992). Evaluation of the Behavior of Carcinoembryonic Antigen in Cirrhotic Patients. The International Journal of Biological Markers. 7(4). 244–248. 6 indexed citations
20.
Collazos, J., J Genollá, & Á. Ruibal. (1992). CA 125 serum levels in patients with non-neoplastic liver diseases. A clinical and laboratory study. Scandinavian Journal of Clinical and Laboratory Investigation. 52(3). 201–206. 24 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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