László Kunos

962 citations
43 papers · 777 · h-index 18

Impact in

Papers in

    • Obstructive Sleep Apnea Research 32
    • Asthma and respiratory diseases 2
    • Telomeres, Telomerase, and Senescence 1
    • Advanced Chemical Sensor Technologies 4

László Kunos

43 papers receiving 767 citations

Peers

László Kunos
Comparison fields: 5 of 69
  • Physiology 459
  • Biomedical Engineering 127
  • Endocrine and Autonomic Systems 12
  • Experimental and Cognitive Psychology 32
  • Health Informatics 4
Replace Martina Mészáros with:
Martina Mészáros Hungary
Antonio Sanna Italy
Beth A. Beidleman United States
Alberto Alonso Spain
G Aubert-Tulkens Belgium
C. Guillot France
Victoria MacBean United Kingdom
Taro Mukaibo Japan
R. Smith United Kingdom
E.J.W. Maarsingh Netherlands
László Kunos relative to Martina Mészáros Hungary Martina Mészáros's profile →
Citations per field
00.5×2×4×6.8×
Martina Mészáros · 1×
Citations per year

Countries citing papers authored by László Kunos

Since Specialization
Citations

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

Fields of papers citing papers by László Kunos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201468
2 201341
3 201438
4 202135
5 201834
6 201934
7 201533
8 200930
9 201929
10 202028
11 201626
12 201725
13 201725
14 202225
15 202023
16 202123
17 202222
18 201921
19 201918
20 202018

About László Kunos

László Kunos is a scholar working on Physiology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Archeology and Molecular Biology, having authored 43 papers that have together received 777 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (32 papers), Advanced Chemical Sensor Technologies (4 papers), Gut microbiota and health (2 papers), Asthma and respiratory diseases (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Telomeres, Telomerase, and Senescence (1 paper), Pulmonary Hypertension Research and Treatments (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Physiology (459 citations), Biomedical Engineering (127 citations), Endocrine and Autonomic Systems (12 citations), Experimental and Cognitive Psychology (32 citations) and Health Informatics (4 citations). László Kunos has collaborated with scholars based in Hungary, United Kingdom and Romania. Frequent co-authors include András Bikov, Dávid László Tárnoki, Ádám Domonkos Tárnoki, György Losonczy, Zsófia Lázár, Martina Mészáros, Ildikó Horváth, Péter Horváth, Stefan D. Mihaicuta and Stefan Frent. Their work appears in journals such as Journal of Clinical Medicine, Applied Sciences, Lung, Sleep And Breathing and Journal of Sleep Research.

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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