Pablo García‐Pavía
- Nephrology top 0.5%
- Parathyroid Disorders and Treatments 36
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- Cardiomyopathy and Myosin Studies 78
- Cardiovascular Effects of Exercise 36
- Viral Infections and Immunology Research 24
- Cardiovascular Function and Risk Factors 24
- Molecular Biology top 2%
- Amyloidosis: Diagnosis, Treatment, Outcomes 87
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 21
- Oncology top 5%
- Peptidase Inhibition and Analysis 25
- Co-authors
- Esther González-LópezEnrique Lara‐PezziFernándo DomínguezClara SalasMarta Cobo MarcosF. Javier de Haro-del MoralLuis Alonso‐PulpónClaudio Rapezzi
- Journals
- New England Journal of Medicine (1 paper)Journal of Biological Chemistry (1 paper)Circulation (8 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Pablo García‐Pavía
222 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Nephrology 1.1k
- Cardiology and Cardiovascular Medicine 2.4k
- Molecular Biology 3.0k
- Rheumatology 655
- Oncology 779
Countries citing papers authored by Pablo García‐Pavía
This map shows the geographic impact of Pablo García‐Pavía'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 García‐Pavía with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo García‐Pavía more than expected).
Fields of papers citing papers by Pablo García‐Pavía
This network shows the impact of papers produced by Pablo García‐Pavía. 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 García‐Pavía. The network helps show where Pablo García‐Pavía may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pablo García‐Pavía, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 7 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 26 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 33 | |
| 14 | 2023 | 2 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 38 | |
| 18 | 2011 | 48 | |
| 19 | 2011 | 23 | |
| 20 | 2009 | 60 |
About Pablo García‐Pavía
Pablo García‐Pavía is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 244 papers that have together received 5.5k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (87 papers), Cardiomyopathy and Myosin Studies (78 papers), Cardiovascular Effects of Exercise (36 papers), Parathyroid Disorders and Treatments (36 papers), Peptidase Inhibition and Analysis (25 papers), Viral Infections and Immunology Research (24 papers), Cardiovascular Function and Risk Factors (24 papers) and Eosinophilic Disorders and Syndromes (21 papers). The work is most often cited by research in Nephrology (1.1k citations), Cardiology and Cardiovascular Medicine (2.4k citations) and Molecular Biology (3.0k citations). Pablo García‐Pavía has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Esther González-López, Enrique Lara‐Pezzi, Fernándo Domínguez, Clara Salas, Marta Cobo Marcos, F. Javier de Haro-del Moral, Luis Alonso‐Pulpón, Claudio Rapezzi, Belén Bornstein and Gonzalo Guzzo-Merello. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Circulation.
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.