Pablo García‐Pavía

21.3k citations
244 papers · 5.5k indexed · 3 hit papers · h-index 39
Topics
Amyloidosis: Diagnosis, Treatment, Outcomes (87 papers)Cardiomyopathy and Myosin Studies (78 papers)Cardiovascular Effects of Exercise (36 papers)
Partner nations
SpainUnited StatesItaly

In The Last Decade

Pablo García‐Pavía

222 papers receiving 5.3k citations

Hit Papers

Wild-type transthyretin amyloidosis as a cause of heart f...2015202620182022201520232024200400600

Peers

Pablo García‐Pavía
Comparison fields: 5 of 118
  • Molecular Biology 3.0k
  • Cardiology and Cardiovascular Medicine 2.4k
  • Nephrology 1.1k
  • Oncology 779
  • Rheumatology 655
Replace Viviana Maestrini with:
Viviana Maestrini Italy
Bouke P. C. Hazenberg Netherlands
Arnt V. Kristen Germany
Sebastian J. Buss Germany
Takahisa Kondo Japan
Andrea Barison Italy
Nerea Varo Spain
Jan A. Bruijn Netherlands
José Vilar France
Paolo Pauletto Italy
Pablo García‐Pavía relative to Viviana Maestrini Italy Viviana Maestrini's profile →
Citations per field
00.5×5.5×
Viviana Maestrini · 1×
Citations per year

Countries citing papers authored by Pablo García‐Pavía

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Pablo García‐Pavía

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo García‐Pavía. A scholar is included among the top collaborators of Pablo García‐Pavía based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo García‐Pavía. Pablo García‐Pavía is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 7
6 0
7 0
8 13
9 1
10 26
11 4
12 9
13 33
14 2
15 6
16 7
17 38
18 48
19 23
20 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) and Cardiovascular Effects of Exercise (36 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.

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