Jiřı́ Pachernı́k

75 papers receiving 2.0k citations

Peers

Jiřı́ Pachernı́k
Comparison fields: 5 of 128
  • Developmental Neuroscience 88
  • Polymers and Plastics 231
  • Molecular Biology 1.0k
  • Biomaterials 196
  • Cancer Research 189
Replace Jong‐Sun Kang with:
Jong‐Sun Kang South Korea
Yuma Yamada Japan
Anxo Vidal Spain
Hanna Kim South Korea
Eun Ji Chung United States
Julien Rossignol United States
A. Ian Cassady Australia
Xiuling Xu China
Sungjo Park United States
Jiřı́ Pachernı́k relative to Jong‐Sun Kang South Korea Jong‐Sun Kang's profile →
Citations per field
00.5×4.9×
Jong‐Sun Kang · 1×
Citations per year

Countries citing papers authored by Jiřı́ Pachernı́k

Since Specialization
Citations

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

Fields of papers citing papers by Jiřı́ Pachernı́k

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015162
2 2013145
3 2018140
4 2005103
5 201067
6 200562
7 200462
8 201860
9 199858
10 200649
11 201539
12 200239
13 200136
14 200533
15 201531
16 200231
17 200731
18 200031
19 201530
20 200529

About Jiřı́ Pachernı́k

Jiřı́ Pachernı́k is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (21 papers), Conducting polymers and applications (8 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Epigenetics and DNA Methylation (8 papers), Neuroscience and Neural Engineering (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Cancer-related Molecular Pathways (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Developmental Neuroscience (88 citations), Polymers and Plastics (231 citations), Molecular Biology (1.0k citations), Biomaterials (196 citations) and Cancer Research (189 citations). Jiřı́ Pachernı́k has collaborated with scholars based in Czechia, United States and Finland. Frequent co-authors include Petr Dvořák, Aleš Hampl, Jiřina Procházková, Kateřina Štefková, Lukáš Kubala, Petr Humpolíček, Jiřina Hofmanová, Alois Kozubı́k, Vı́tězslav Bryja and Marián Lehocký. Their work appears in journals such as Materials Science and Engineering C, PLoS ONE, International Journal of Molecular Sciences, Leukemia Research and Physiological 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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