Ramón Querejeta

5.1k citations
43 papers · 3.9k indexed · 1 hit paper · h-index 29

Ramón Querejeta

43 papers receiving 3.8k citations

Hit Papers

Losartan-Dependent Regression of Myocardial Fibrosis Is A...5002002202620102018100200300400500

Peers

Ramón Querejeta
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 3.1k
  • Endocrinology, Diabetes and Metabolism 385
  • Cancer Research 338
  • Radiology, Nuclear Medicine and Imaging 503
  • Surgery 698
Replace Susana Ravassa with:
Susana Ravassa Spain
Mariano Larman Spain
Alexander Riad Germany
Florian Blaschke Germany
Richard D. Patten United States
Paolo Spallarossa Italy
Junichi Matsubara Japan
B. Daan Westenbrink Netherlands
Kimio Satoh Japan
Martin Rodriguez‐Porcel United States
Ramón Querejeta relative to Susana Ravassa Spain Susana Ravassa's profile →
Citations per field
00.5×1.5×1.8×
Susana Ravassa · 1×
Citations per year

Countries citing papers authored by Ramón Querejeta

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Querejeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201939
2 201735
3 2016110
4 201545
5 2015196
6 20101
7 201090
8 20098
9 200937
10 200745
11 2006185
12 200619
13 200618
14 200545
15 2005127
16 200550
17 20051
18 2004197
19
Losartan-Dependent Regression of Myocardial Fibrosis Is Associated With Reduction of Left Ventricular Chamber Stiffness in Hypertensive Patientsbreakdown →
2002500
20 2001102

About Ramón Querejeta

Ramón Querejeta is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (19 papers), Cardiovascular Function and Risk Factors (14 papers), Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Disease and Adiposity (5 papers), Protease and Inhibitor Mechanisms (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Signaling Pathways in Disease (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.1k citations), Endocrinology, Diabetes and Metabolism (385 citations) and Cancer Research (338 citations). Ramón Querejeta has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Begoña López, Javier Dı́ez, Arantxa González, Mariano Larman, José L. Martínez Ubago, Javier Beaumont, Susana Ravassa, Eloy Sánchez, Nerea Varo and María U. Moreno. Their work appears in journals such as Hypertension, Journal of Hypertension, Journal of the American College of Cardiology, Circulation and Cardiovascular Research.

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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