Thomas Gaisl

2.2k citations
59 papers · 1.7k · h-index 22

Impact in

  • Physiology top 2%
    • Obstructive Sleep Apnea Research
    • Mass Spectrometry Techniques and Applications

Papers in

Thomas Gaisl

55 papers receiving 1.6k citations

Peers

Thomas Gaisl
Comparison fields: 5 of 83
  • Physiology 778
  • Spectroscopy 209
  • Biomedical Engineering 339
  • Anesthesiology and Pain Medicine 37
  • Pulmonary and Respiratory Medicine 149
Replace Carlo Franzini with:
Carlo Franzini Italy
Arthur C. L. Brown United States
Robert A. Pietrzyk United States
Patrice Flore France
William F. Walby United States
Jack R. T. Darby Australia
Christie M. Rose-Gottron United States
Camillo Giacomelli Italy
Astrid Y. Bijlsma Netherlands
Thomas Gaisl relative to Carlo Franzini Italy Carlo Franzini's profile →
Citations per field
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Carlo Franzini · 1×
Citations per year

Countries citing papers authored by Thomas Gaisl

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gaisl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015284
2 2019230
3 201591
4 202082
5 201959
6 201558
7 201858
8 201553
9 201942
10 201540
11 201540
12 201739
13 201638
14 202138
15 202335
16 201734
17 201633
18 201631
19 201931
20 201629

About Thomas Gaisl

Thomas Gaisl is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Spectroscopy and Biomedical Engineering, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (28 papers), Advanced Chemical Sensor Technologies (7 papers), Mass Spectrometry Techniques and Applications (4 papers), Transplantation: Methods and Outcomes (4 papers), Cardiovascular Disease and Adiposity (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Physiology (778 citations), Spectroscopy (209 citations), Biomedical Engineering (339 citations), Anesthesiology and Pain Medicine (37 citations) and Pulmonary and Respiratory Medicine (149 citations). Thomas Gaisl has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Malcolm Kohler, Daniel J. Bratton, Annette Marie Wons, Renato Zenobi, Martin Thomas Gaugg, Christian Schlatzer, Lukas Bregy, Tobias Bruderer, Diego García‐Gómez and Pablo Sinues. Their work appears in journals such as European Respiratory Journal, Thorax, Respiration, Journal of Clinical Sleep Medicine and Sleep Medicine.

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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