Pablo Catalá

547 citations
15 papers · 139 · h-index 6

Impact in

Papers in

Pablo Catalá

13 papers receiving 135 citations

Peers

Pablo Catalá
Comparison fields: 5 of 38
  • Infectious Diseases 84
  • Neurology 51
  • Cardiology and Cardiovascular Medicine 63
  • Epidemiology 37
  • Oncology 25
Replace Sanam Alilou with:
Sanam Alilou Iran
Renata Moll‐Bernardes Brazil
José Raúl Delgado-Arana Spain
Fabiana D’Amico Italy
Érika Muñoz-García Spain
Nicholas W. Lange United States
Mathew Jones United States
Matthieu Pecquet France
Gianmarco Arabia Italy
Riccardo Mantovani Italy
Pablo Catalá relative to Sanam Alilou Iran Sanam Alilou's profile →
Citations per field
00.5×3.5×
Sanam Alilou · 1×
Citations per year

Countries citing papers authored by Pablo Catalá

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Catalá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202049
2 201831
3 202115
4 202115
5 202010
6 20205
7 20203
8 20213
9 20193
10 20202
11 20181
12 20181
13 20191
14 20250
15 20210

About Pablo Catalá

Pablo Catalá is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Neurology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 139 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (6 papers), Cardiac Valve Diseases and Treatments (5 papers), Cardiac Imaging and Diagnostics (4 papers), Coronary Interventions and Diagnostics (3 papers), Heart Failure Treatment and Management (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Infectious Diseases (84 citations), Neurology (51 citations), Cardiology and Cardiovascular Medicine (63 citations), Epidemiology (37 citations) and Oncology (25 citations). Pablo Catalá has collaborated with scholars based in Spain. Frequent co-authors include Ignacio J. Amat‐Santos, J. Alberto San Román, Manuel Carrasco‐Moraleja, Álvaro Aparisi, Diego López‐Otero, Aitor Uribarri, Carlos Alberto Gurgel Veras, Javier Castrodeza, José Raúl Delgado-Arana and Sandra Santos‐Martínez. Their work appears in journals such as Revista Española de Cardiología (English Edition), Journal of the American College of Cardiology, Scientific Reports, European Heart Journal and Catheterization and Cardiovascular Interventions.

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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