Á. Ruibal

71 papers receiving 515 citations

Peers

Á. Ruibal
Comparison fields: 5 of 67
  • Cancer Research 94
  • Oncology 142
  • Reproductive Medicine 40
  • Hepatology 24
  • Immunology and Allergy 17
Replace J P Basuyau with:
J P Basuyau France
M. Bianchi Italy
Donna Dunn United States
Elaina Cajulis United States
Takaomi Suzuma Japan
E Gubała Poland
Ritsuto Fujiwaki Japan
Faruk Taş Türkiye
A. M. Gassel Germany
Ken Ueki Japan
Á. Ruibal relative to J P Basuyau France J P Basuyau's profile →
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Citations per year

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-authors

The 25 scholars most cited alongside Á. Ruibal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Á. Ruibal Line = papers co-authored together Á. Ruibal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Expression and prognostic significance of apolipoprotein D in breast cancer.
199480
2 198947
3 199928
4 200627
5 199225
6 198625
7 199617
8 200217
9
Seric CA 19.9 levels in patients with non tumoral pathologies. Our experience in 892 cases.
198617
10 199614
11 199314
12
CA 15.3: early results of a new breast cancer marker.
198614
13
Serum CA 15.3 levels in patients with general pathology and malignant diseases (excluding breast cancer).
198613
14
Evaluation of human breast cysts according to their biochemical and hormonal composition, and cytologic examination.
199012
15 201410
16 20029
17 19989
18 20148
19 19998
20 19927

About Á. Ruibal

Á. Ruibal is a scholar working on Oncology, Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 532 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Breast Cancer Treatment Studies (9 papers), Medical Imaging Techniques and Applications (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Breast Lesions and Carcinomas (5 papers) and Cancer Risks and Factors (5 papers). The work is most often cited by research in Cancer Research (94 citations), Oncology (142 citations), Reproductive Medicine (40 citations), Hepatology (24 citations) and Immunology and Allergy (17 citations). Á. Ruibal has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include J Genollá, Francisco J. Vizoso, Rámón Colomer, J. Collazos, Carlos López-Otı́n, G Encabo, Irene Diez‐Itza, Luis Sánchez‐Pulido, A.M. Merino and Jorge Tolivia. Their work appears in journals such as The International Journal of Biological Markers, Tumor Biology, Scandinavian Journal of Clinical and Laboratory Investigation, Acta Neurologica Scandinavica and British Journal of Cancer.

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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