Fernando Masa

1.0k citations
12 papers · 722 · h-index 9

Impact in

Papers in

Fernando Masa

12 papers receiving 695 citations

Peers

Fernando Masa
Comparison fields: 5 of 75
  • Endocrine and Autonomic Systems 168
  • Physiology 492
  • Pulmonary and Respiratory Medicine 296
  • Issues, ethics and legal aspects 6
  • Speech and Hearing 30
Replace Michał Bednarek with:
Michał Bednarek Poland
Vidya Krishnan United States
Martino Pavone Italy
Kiran Nandalike United States
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Francisco Perez-Guerra United States
J. Almeida Portugal
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Ming‐Tzer Lin Taiwan
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Fernando Masa relative to Michał Bednarek Poland Michał Bednarek's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fernando Masa

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Masa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010191
2 2001189
3 2014116
4 201253
5 199546
6 200243
7 199440
8 200716
9 201615
10 20126
11 20086
12
Effect of CPAP treatment on blood pressure levels in resistant hypertension. A multicenter randomized study from the Spanish sleep network (NCT00616265)
20121

About Fernando Masa

Fernando Masa is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Surgery and Critical Care and Intensive Care Medicine, having authored 12 papers that have together received 722 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (6 papers), Respiratory Support and Mechanisms (2 papers), Neuroscience of respiration and sleep (2 papers), Cardiovascular and Diving-Related Complications (2 papers), T-cell and Retrovirus Studies (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Tracheal and airway disorders (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (168 citations), Physiology (492 citations), Pulmonary and Respiratory Medicine (296 citations), Issues, ethics and legal aspects (6 citations) and Speech and Hearing (30 citations). Fernando Masa has collaborated with scholars based in Spain and Mexico. Frequent co-authors include Marc Miravitlles, José Luís Viejo, Rafael Gabriel, Carlos Villasante, Carlos A. Jiménez-Ruiz, V. Sobradillo, Joaquín Durán‐Cantolla, Francisco Campos‐Rodríguez, Ángeles Sánchez‐Armengol and José Pérez‐Ronchel. Their work appears in journals such as CHEST Journal, ERJ Open Research, Quality of Life Research, Molecular Immunology and European Respiratory Journal.

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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