Sverre Lehmann

1.8k total citations
63 papers, 873 citations indexed

About

Sverre Lehmann is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Sverre Lehmann has authored 63 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pulmonary and Respiratory Medicine, 38 papers in Physiology and 18 papers in Endocrine and Autonomic Systems. Recurrent topics in Sverre Lehmann's work include Obstructive Sleep Apnea Research (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (20 papers) and Neuroscience of respiration and sleep (18 papers). Sverre Lehmann is often cited by papers focused on Obstructive Sleep Apnea Research (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (20 papers) and Neuroscience of respiration and sleep (18 papers). Sverre Lehmann collaborates with scholars based in Norway, Sweden and Netherlands. Sverre Lehmann's co-authors include Bjørn Bjorvatn, Amund Gulsvik, Per Bakke, Ståle Pallesen, Ingvild West Saxvig, Ernst Omenaas, Geir Egil Eide, Ane Johannessen, Harald Aurlien and Tomas Eagan and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Thorax.

In The Last Decade

Sverre Lehmann

55 papers receiving 849 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sverre Lehmann Norway 17 537 440 213 159 119 63 873
Jorge Dreyse Chile 15 635 1.2× 373 0.8× 417 2.0× 114 0.7× 112 0.9× 44 895
Matthew Fenchel United States 18 486 0.9× 488 1.1× 380 1.8× 90 0.6× 79 0.7× 44 1.1k
Mohamed Awad Tageldin Egypt 8 385 0.7× 240 0.5× 249 1.2× 81 0.5× 72 0.6× 15 595
Esther Quintana‐Gallego Spain 14 527 1.0× 461 1.0× 328 1.5× 110 0.7× 72 0.6× 44 805
T. Gislason Sweden 7 328 0.6× 370 0.8× 184 0.9× 68 0.4× 35 0.3× 14 667
Serafeim‐Chrysovalantis Kotoulas Greece 13 227 0.4× 180 0.4× 93 0.4× 69 0.4× 49 0.4× 57 482
Pilar Román-Sánchez Spain 17 833 1.6× 1.2k 2.6× 552 2.6× 114 0.7× 113 0.9× 23 1.6k
James R. Benke United States 17 312 0.6× 260 0.6× 201 0.9× 39 0.2× 38 0.3× 29 720
Jean–Paul Janssens Switzerland 18 279 0.5× 584 1.3× 236 1.1× 52 0.3× 19 0.2× 52 989
Leslie G. Olson Australia 13 393 0.7× 264 0.6× 205 1.0× 85 0.5× 70 0.6× 20 671

Countries citing papers authored by Sverre Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Sverre Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sverre Lehmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sverre Lehmann. A scholar is included among the top collaborators of Sverre Lehmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sverre Lehmann. Sverre Lehmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Husebø, Gunnar Reksten, Rune Nielsen, Andreu Paytuví-Gallart, et al.. (2025). Whole genome sequencing of the pulmonary microbiome in interstitial lung disease subtypes. Respiratory Research. 26(1). 324–324.
2.
3.
Lehmann, Sverre, et al.. (2025). Prediction of non-responders to oral appliance treatment of obstructive sleep apnea: a pilot study. Sleep And Breathing. 29(2). 159–159.
4.
Lehmann, Sverre, et al.. (2024). Elastic Bands Improve Oral Appliance Treatment Effect on Obstructive Sleep Apnoea: A Randomised Crossover Trial. Journal of Oral Rehabilitation. 52(1). 27–36. 2 indexed citations
5.
Nielsen, Rune, Marianne Aanerud, Gunnar Reksten Husebø, et al.. (2024). Lower airway microbiota in COPD and healthy controls. Thorax. 79(3). 219–226. 4 indexed citations
6.
Johansson, Ann‐Katrin, et al.. (2023). General and orofacial symptoms associated with acute and long COVID in 80- and 90-year-old Swedish COVID-19 survivors. Journal of Dentistry. 141. 104824–104824. 3 indexed citations
7.
Lehmann, Sverre, Thomas Halvorsen, Hege Clemm, et al.. (2023). Prevalence and impact of exercise-induced laryngeal obstruction in asthma: a study protocol for a cross-sectional and longitudinal study. BMJ Open. 13(6). e071159–e071159. 1 indexed citations
8.
Bjorvatn, Bjørn, et al.. (2022). Clinical information predicting severe obstructive sleep apnea: A cross-sectional study of patients waiting for sleep diagnostics. Respiratory Medicine. 197. 106860–106860. 9 indexed citations
9.
Saeed, Sahrai, et al.. (2022). Cardiovascular remodeling in obstructive sleep apnea: focus on arterial stiffness, left ventricular geometry and atrial fibrillation. Expert Review of Cardiovascular Therapy. 20(6). 455–464. 14 indexed citations
10.
Lehmann, Sverre, et al.. (2022). The lower airways microbiome and antimicrobial peptides in idiopathic pulmonary fibrosis differ from chronic obstructive pulmonary disease. PLoS ONE. 17(1). e0262082–e0262082. 7 indexed citations
11.
Lehmann, Sverre, et al.. (2020). Acoustic pharyngometry ‐ A new method to facilitate oral appliance therapy. Journal of Oral Rehabilitation. 48(5). 601–613. 3 indexed citations
12.
Lehmann, Sverre, Thomas Ringbæk, Anders Løkke, et al.. (2019). A randomized trial to determine the impact of indacaterol/glycopyrronium on nighttime oxygenation and symptoms in patients with moderate-to-severe COPD: the DuoSleep study. International Journal of COPD. Volume 14. 199–210. 6 indexed citations
13.
14.
Saxvig, Ingvild West, et al.. (2018). Prevalence of Parasomnias in Patients With Obstructive Sleep Apnea. A Registry-Based Cross-Sectional Study. Frontiers in Psychology. 9. 1140–1140. 14 indexed citations
15.
Bjorvatn, Bjørn, et al.. (2017). Increased severity of obstructive sleep apnea is associated with less anxiety and depression. Journal of Sleep Research. 27(6). e12647–e12647. 35 indexed citations
16.
Grønseth, Rune, Harald G. Wiker, Yaxin Xue, et al.. (2017). Protected sampling is preferable in bronchoscopic studies of the airway microbiome. ERJ Open Research. 3(3). 19–2017. 29 indexed citations
17.
Bjorvatn, Bjørn, et al.. (2015). Prevalence of excessive sleepiness is higher whereas insomnia is lower with greater severity of obstructive sleep apnea. Sleep And Breathing. 19(4). 1387–1393. 71 indexed citations
18.
Lehmann, Sverre, Per Bakke, Geir Egil Eide, & Amund Gulsvik. (2006). Bronchodilator response to adrenergic β2-agonists: Relationship to symptoms in an adult community. Respiratory Medicine. 101(6). 1183–1190. 11 indexed citations
19.
Johannessen, Ane, Sverre Lehmann, Ernst Omenaas, et al.. (2006). Post-Bronchodilator Spirometry Reference Values in Adults and Implications for Disease Management. American Journal of Respiratory and Critical Care Medicine. 173(12). 1316–1325. 132 indexed citations
20.
Lehmann, Sverre, Dan J. Stein, Harald A. Nygaard, & Amund Gulsvik. (2004). Factors determining performance of bronchodilator reversibility tests in middle-aged and elderly. Respiratory Medicine. 98(11). 1071–1079. 33 indexed citations

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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