Martin Pešl

1.7k citations
55 papers · 1.1k indexed · 1 hit paper · h-index 17
Topics
Pluripotent Stem Cells Research (11 papers)Muscle Physiology and Disorders (10 papers)Neuroscience and Neural Engineering (9 papers)
Partner nations
CzechiaFrancePoland

In The Last Decade

Martin Pešl

49 papers receiving 1.1k citations

Hit Papers

YAP regulates cell mechanics by controlling focal adhesio...20172026202020232017100200300400

Peers

Martin Pešl
Comparison fields: 5 of 96
  • Molecular Biology 407
  • Cell Biology 372
  • Cardiology and Cardiovascular Medicine 280
  • Biomedical Engineering 234
  • Cellular and Molecular Neuroscience 160
Replace Guido Caluori with:
Guido Caluori Czechia
Gergana Gateva Finland
Zhong‐Dong Shi United States
John Huynh United States
Qize Wei United States
Hossein Ahmadzadeh United States
Ana Rubina Perestrelo Czechia
Emiliana Giacomello Italy
Deborah K. Lieu United States
Stefan Braam Netherlands
Martin Pešl relative to Guido Caluori Czechia Guido Caluori's profile →
Citations per field
00.5×10×20×32×
Guido Caluori · 1×
Citations per year

Countries citing papers authored by Martin Pešl

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pešl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pešl

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pešl. A scholar is included among the top collaborators of Martin Pešl 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 Martin Pešl. Martin Pešl 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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 1
6 10
7 15
8 6
9 1
10 5
11 0
12 17
13 5
14 7
15 16
16 63
17 19
18 16
19 3
20 34

About Martin Pešl

Martin Pešl is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Cell Biology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Muscle Physiology and Disorders (10 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Cell Biology (372 citations), Cardiology and Cardiovascular Medicine (280 citations) and Immunology and Allergy (62 citations). Martin Pešl has collaborated with scholars based in Czechia, France and Poland. Frequent co-authors include Jan Přibyl, Guido Caluori, Petr Skládal, Vladimír Rotrekl, Jan Vrbský, Giancarlo Forte, Jorge Oliver‐De La Cruz, Giorgia Nardone, Stefania Pagliari and Cécilia Martini. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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