M.A. Quera-Salva

795 citations
17 papers · 522 · h-index 12

Impact in

Papers in

M.A. Quera-Salva

17 papers receiving 501 citations

Peers

M.A. Quera-Salva
Comparison fields: 5 of 67
  • Endocrine and Autonomic Systems 161
  • Experimental and Cognitive Psychology 85
  • Neurology 89
  • Physiology 140
  • Genetics 55
Replace Gabriele Barthlen with:
Gabriele Barthlen United States
L Garma France
Maria-Antonia Quera Salva France
Chantal Hausser‐Hauw France
Anna Losurdo Italy
Vukmir Vlašić United States
Seán Higgins United Kingdom
Panagis Drakatos United Kingdom
Kerri S. Rawson United States
A. Oldani Italy
M.A. Quera-Salva relative to Gabriele Barthlen United States Gabriele Barthlen's profile →
Citations per field
00.5×
Gabriele Barthlen · 1×
Citations per year

Countries citing papers authored by M.A. Quera-Salva

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Quera-Salva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Quera-Salva. 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 M.A. Quera-Salva. The network helps show where M.A. Quera-Salva may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1994104
2 199974
3 199270
4 199360
5
Sleep-related obstructive and nonobstructive apneas and neurologic disorders.
199244
6 201838
7 202032
8 200827
9 200225
10 201314
11 199813
12 200212
13 20214
14 20182
15 20211
16 20211
17 20171

About M.A. Quera-Salva

M.A. Quera-Salva is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Experimental and Cognitive Psychology and Physiology, having authored 17 papers that have together received 522 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (7 papers), Circadian rhythm and melatonin (6 papers), Sleep and related disorders (5 papers), Obstructive Sleep Apnea Research (4 papers), Respiratory Support and Mechanisms (3 papers), Tracheal and airway disorders (3 papers), Neuroscience of respiration and sleep (3 papers) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (161 citations), Experimental and Cognitive Psychology (85 citations), Neurology (89 citations), Physiology (140 citations) and Genetics (55 citations). M.A. Quera-Salva has collaborated with scholars based in France, United States and Spain. Frequent co-authors include J. C. Raphaël, P Gajdoš, Frédéric Lofaso, J de Lattre, Mark P. Goldberg, Christian Guilleminault, Bruno Claustrat, Riccardo Stoohs, AG Agusti and Ferrán Barbé. Their work appears in journals such as European Respiratory Journal, Neurophysiologie Clinique, Neurology, Brain and L Encéphale.

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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