Vladimír Pekařík

2.6k citations
35 papers · 1.9k indexed · 1 hit paper · h-index 13
Topics
Trace Elements in Health (10 papers)Prion Diseases and Protein Misfolding (8 papers)Neurological diseases and metabolism (5 papers)

In The Last Decade

Vladimír Pekařík

35 papers receiving 1.8k citations

Hit Papers

Efficient and rapid generation of induced pluripotent ste...200820262014202020082505007501000

Peers

Vladimír Pekařík
Comparison fields: 5 of 110
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 324
  • Surgery 219
  • Genetics 205
  • Physiology 195
Replace Gunnar P.H. Dietz with:
Gunnar P.H. Dietz Germany
Andrea Serio United Kingdom
Sang Won Han Brazil
Teresa Southard United States
Jong‐Sun Kang South Korea
Rüdiger Horstkorte Germany
Christian Kaltschmidt Germany
Yang Zhou China
Kyoung Hwa Jung South Korea
Vladimír Pekařík relative to Gunnar P.H. Dietz Germany Gunnar P.H. Dietz's profile →
Citations per field
00.5×2.6×
Gunnar P.H. Dietz · 1×
Citations per year

Countries citing papers authored by Vladimír Pekařík

Since Specialization
Citations

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

Fields of papers citing papers by Vladimír Pekařík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimír Pekařík

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimír Pekařík. A scholar is included among the top collaborators of Vladimír Pekařík 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 Vladimír Pekařík. Vladimír Pekařík 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 1
2 4
3 15
4 1
5 9
6 10
7 11
8 37
9 111
10 46
11 9
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Efficient and rapid generation of induced pluripotent stem cells from human keratinocytesbreakdown →
1013
13 10
14 10
15 26
16 191
17 8
18 10
19 10
20 3

About Vladimír Pekařík

Vladimír Pekařík is a scholar working on Nutrition and Dietetics, Neurology and Developmental Neuroscience, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Trace Elements in Health (10 papers), Prion Diseases and Protein Misfolding (8 papers) and Neurological diseases and metabolism (5 papers). The work is most often cited by research in Developmental Neuroscience (162 citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (324 citations). Vladimír Pekařík has collaborated with scholars based in Czechia, Switzerland and United Kingdom. Frequent co-authors include Juan Carlos Izpisúa Belmonte, Antonella Consiglio, Michael J. Edel, Josipa Bilić, Gustavo Tiscórnia, Stéphanie Boué, Trond Aasen, Elena Garreta, Ángel Raya and Federico Gonzãlez. Their work appears in journals such as Nature Neuroscience, Nature Biotechnology 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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