Violeta Catalá

586 citations
24 papers · 414 · h-index 10

Impact in

Papers in

Violeta Catalá

22 papers receiving 400 citations

Peers

Violeta Catalá
Comparison fields: 5 of 41
  • Hepatology 166
  • Pulmonary and Respiratory Medicine 122
  • Physiology 73
  • Radiology, Nuclear Medicine and Imaging 61
  • Epidemiology 71
Replace A. Bleuzen with:
A. Bleuzen France
T. Kim Japan
Katrina McGinty United States
Hamed Kordbacheh United States
Christopher Coppa United States
Seung Baek Hong South Korea
Roberta Catania United States
I Ogata Japan
Riccardo Muglia Italy
Kelvin Cortis Malta
Violeta Catalá relative to A. Bleuzen France A. Bleuzen's profile →
Citations per field
00.5×3.6×
A. Bleuzen · 1×
Citations per year

Countries citing papers authored by Violeta Catalá

Since Specialization
Citations

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

Fields of papers citing papers by Violeta Catalá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005125
2 200658
3 201242
4 200931
5 201425
6 201124
7 200321
8 201017
9 201717
10 201515
11 20237
12 20177
13
Atlas of Multiparametric Prostate MRI With PI-RADS Approach and Anatomic-MRI-Pathological Correlation
20185
14 20244
15 20174
16 20173
17 20162
18 20162
19 20172
20 20161

About Violeta Catalá

Violeta Catalá is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Rheumatology and Physiology, having authored 24 papers that have together received 414 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (14 papers), Prostate Cancer Treatment and Research (6 papers), Urologic and reproductive health conditions (3 papers), MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Tuberous Sclerosis Complex Research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Hepatology (166 citations), Pulmonary and Respiratory Medicine (122 citations), Physiology (73 citations), Radiology, Nuclear Medicine and Imaging (61 citations) and Epidemiology (71 citations). Violeta Catalá has collaborated with scholars based in Spain, United States and Japan. Frequent co-authors include Carlos Nicolau, R. Vilana, Luís Bianchi, Rosa Gilabert, Concepció Brú, C. Brú, Teresa Sordé, José Ballarín, Ferràn Torres and M Pagès. Their work appears in journals such as European Radiology, Radiographics, American Journal of Roentgenology, World Journal of Clinical Oncology and Clinical Genitourinary 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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