Mercè Gasa

15 papers receiving 355 citations

Peers

Mercè Gasa
Comparison fields: 5 of 49
  • Endocrine and Autonomic Systems 114
  • Physiology 282
  • Cognitive Neuroscience 72
  • Experimental and Cognitive Psychology 47
  • Pulmonary and Respiratory Medicine 47
Replace T. Giliberti with:
T. Giliberti Italy
Elisabeth Lindberg Sweden
B. Stach France
Murtuza M. Ahmed United States
Florent Lavergne France
Mahssa Karimi Sweden
Fredrik Valham Sweden
Thierry Pigeanne France
Thomas Pott United States
Ulla Anttalainen Finland
Mercè Gasa relative to T. Giliberti Italy T. Giliberti's profile →
Citations per field
00.5×3.5×
T. Giliberti · 1×
Citations per year

Countries citing papers authored by Mercè Gasa

Since Specialization
Citations

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

Fields of papers citing papers by Mercè Gasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013150
2 201557
3 201148
4 202025
5 201424
6 201912
7 201712
8 201210
9 20218
10 20236
11 20215
12 20112
13
Effectiveness of an Intensive Weight-Loss Program for Severe Obstructive Sleep Apnea Syndrome (OSA) in Patients Undergoing CPAP Treatment: A Randomized Controlled Trial
20201
14 20221
15 20191

About Mercè Gasa

Mercè Gasa is a scholar working on Physiology, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Neurology and Infectious Diseases, having authored 15 papers that have together received 362 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (10 papers), Neuroscience of respiration and sleep (4 papers), Respiratory Support and Mechanisms (2 papers), Cardiovascular and Diving-Related Complications (2 papers), Long-Term Effects of COVID-19 (2 papers), Muscle metabolism and nutrition (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (114 citations), Physiology (282 citations), Cognitive Neuroscience (72 citations), Experimental and Cognitive Psychology (47 citations) and Pulmonary and Respiratory Medicine (47 citations). Mercè Gasa has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Carmen Monasterio, Neus Salord, Núria Vilarrasa, Josep M. Montserrat, Renaud Tamisier, Jean‐Louis Pépin, Sandrine Launois, Y. Grillet, B. Stach and Marc Sapène. Their work appears in journals such as Journal of Sleep Research, Journal of Clinical Sleep Medicine, Clinical Biochemistry, International Journal of Environmental Research and Public Health 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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