Fernando Laņas

53.5k citations
198 papers · 13.4k indexed · 3 hit papers · h-index 35

Fernando Laņas

191 papers receiving 12.7k citations

Hit Papers

Efficacy of apixaban when compared with warfarin in rel...42220042026201120182.5k5.0k7.5k

Peers

Fernando Laņas
Comparison fields: 5 of 184
  • Cardiology and Cardiovascular Medicine 6.5k
  • Internal Medicine 736
  • Gastroenterology 844
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Organizational Behavior and Human Resource Management 805
Replace Ira S. Ockene with:
Ira S. Ockene United States
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Jean Ferrières France
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Laurence Sperling United States
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Citations per field
00.5×3.4×
Ira S. Ockene · 1×
Citations per year

Countries citing papers authored by Fernando Laņas

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Laņas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202431
3 202322
4 202310
5 20237
6 20231
7 202231
8 202230
9 20229
10 202111
11 20216
12 20181
13 20183
14
Dislipidemia aterogénica en Latinoamérica: prevalencia, causas y tratamiento. Un consenso
20170
15
Atherogenic dyslipidemia in Latin America: prevalence, causes and treatment. Consensus
20176
16 20174
17 201617
18 2015166
19 20084
20 199773

About Fernando Laņas

Fernando Laņas is a scholar working on Cardiology and Cardiovascular Medicine, Microbiology and Gastroenterology, having authored 198 papers that have together received 13.4k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (25 papers), Blood Pressure and Hypertension Studies (22 papers), Cardiac Health and Mental Health (18 papers), Antiplatelet Therapy and Cardiovascular Diseases (16 papers), Global Public Health Policies and Epidemiology (15 papers), Health and Lifestyle Studies (13 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers) and Inflammatory mediators and NSAID effects (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (6.5k citations), Internal Medicine (736 citations) and Gastroenterology (844 citations). Fernando Laņas has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Salim Yusuf, Álvaro Avezum, Andrzej Budaj, Prem Pais, Steven Hawken, George Varigos, Matthew McQueen, Lisheng Liu, Stephanie Ôunpuu and Pamela Serón. Their work appears in journals such as European Heart Journal, Global Heart, Journal of Clinical Epidemiology, American Heart Journal and Journal of the American College of Cardiology.

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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