Petra Košútová

828 total citations
26 papers, 587 citations indexed

About

Petra Košútová is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Petra Košútová has authored 26 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 8 papers in Endocrine and Autonomic Systems and 5 papers in Molecular Biology. Recurrent topics in Petra Košútová's work include Respiratory Support and Mechanisms (17 papers), Neonatal Respiratory Health Research (10 papers) and Neuroscience of respiration and sleep (8 papers). Petra Košútová is often cited by papers focused on Respiratory Support and Mechanisms (17 papers), Neonatal Respiratory Health Research (10 papers) and Neuroscience of respiration and sleep (8 papers). Petra Košútová collaborates with scholars based in Slovakia, Sweden and United States. Petra Košútová's co-authors include Daniela Mokrá, Pavol Mikolka, Juraj Mokrý, Andrea Čalkovská, Tomáš Takáč, Miroslav Ovečka, Pavol Vadovič, Jozef Šamaj, M Kolomazník and Tibor Pechan and has published in prestigious journals such as New Phytologist, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Petra Košútová

25 papers receiving 583 citations

Peers

Petra Košútová
Comparison fields: 5 of 83
  • Molecular Biology 265
  • Pulmonary and Respiratory Medicine 209
  • Immunology 136
  • Plant Science 105
  • Cancer Research 60
Replace Ke Xie with:
Ke Xie China
Dingyu Zhang China
Lianhong Zou China
Daoxin Wang China
Qun Xie China
Jianghong Yan China
Huei Jiunn Seow Australia
Zhe Meng China
Chiara Carnini Italy
Kohshi Hattori Japan
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Citations per field, relative to Petra Košútová
Petra Košútová · 1×
Citations per year, relative to Petra Košútová
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Countries citing papers authored by Petra Košútová

Since Specialization
Citations

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

Fields of papers citing papers by Petra Košútová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Košútová

This figure shows the co-authorship network connecting the top 25 collaborators of Petra Košútová. A scholar is included among the top collaborators of Petra Košútová 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 Petra Košútová. Petra Košútová 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
# Work Indexed citations
1 0
2 2
3 3
4 3
5 5
6 1
7 22
8 5
9 24
10 11
11 117
12 6
13 6
14 18
15 3
16 3
17 14
18 4
19 208
20 85

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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