B. Úbeda

734 citations
25 papers · 481 · h-index 7

Impact in

Papers in

B. Úbeda

24 papers receiving 443 citations

Peers

B. Úbeda
Comparison fields: 5 of 59
  • Obstetrics and Gynecology 164
  • Reproductive Medicine 59
  • Cellular and Molecular Neuroscience 75
  • Cell Biology 63
  • Molecular Biology 138
Replace Masaki Ogawa with:
Masaki Ogawa Japan
H Otun United Kingdom
Carola Prato Italy
V Davis United States
Jean‐Christophe Noël Belgium
Romulo Hurtado United States
Philippe Tummers Belgium
Sei Kwang Kim South Korea
B. A. Kazzaz Netherlands
M Karkinen-Jääskeläinen Finland
B. Úbeda relative to Masaki Ogawa Japan Masaki Ogawa's profile →
Citations per field
00.5×7.5×
Masaki Ogawa · 1×
Citations per year

Countries citing papers authored by B. Úbeda

Since Specialization
Citations

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

Fields of papers citing papers by B. Úbeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside B. Úbeda, 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 B. Úbeda Line = papers co-authored together B. Úbeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996152
2 200471
3 201566
4 199657
5 200139
6 201128
7
Biological and pathological features in pregnancy-associated breast cancer: a matched case-control study.
201515
8 20136
9 20225
10 20075
11 20225
12 20234
13 20214
14 20204
15
Neurofibroma of the vaginal wall.
20083
16 20223
17 20183
18 20002
19 19962
20 20142

About B. Úbeda

B. Úbeda is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Surgery and Obstetrics and Gynecology, having authored 25 papers that have together received 481 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (6 papers), Gynecological conditions and treatments (4 papers), MRI in cancer diagnosis (2 papers), Cancer Treatment and Pharmacology (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Cancer Diagnosis and Treatment (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (164 citations), Reproductive Medicine (59 citations), Cellular and Molecular Neuroscience (75 citations), Cell Biology (63 citations) and Molecular Biology (138 citations). B. Úbeda has collaborated with scholars based in Spain, Australia and France. Frequent co-authors include Dominique Hillaire, J Feingold, N Feingold, J. Beckmann, F.M.S. Tomé, Michel Fardeau, H. Barry Collin, C. Mignard, Ignacio Rodríguez and A del Palacio. Their work appears in journals such as Annals of Oncology, American Journal of Roentgenology, Journal of Ultrasound in Medicine, Neuroradiology and European Radiology.

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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