Jan Berka

9.9k citations
42 papers · 7.7k · 1 hit paper · h-index 14

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
  • Ecology top 1%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions

Papers in

    • Microfluidic and Capillary Electrophoresis Applications 13
    • Microfluidic and Bio-sensing Technologies 7
    • Biosensors and Analytical Detection 5
    • Innovative Microfluidic and Catalytic Techniques Innovation 5

Jan Berka

39 papers receiving 7.4k citations

Jan Berka's Hit Papers

Genome sequencing in microfabricated high-density picolitre reactors 2005 · 6.0k citations
6.0k0+7+14Years since publication2.0k4.0k6.0k

Peers

Jan Berka
Comparison fields: 5 of 165
  • Molecular Biology 4.0k
  • Ecology 1.4k
  • Genetics 1.1k
  • Cancer Research 433
  • Immunology 626
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Jan Berka relative to Michael P. Weiner United States Michael P. Weiner's profile →
Citations per field
00.5×1.5×1.9×
Michael P. Weiner · 1×
Citations per year

Countries citing papers authored by Jan Berka

Since Specialization
Citations

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

Fields of papers citing papers by Jan Berka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome sequencing in microfabricated high-density picolitre reactors
Hit paper breakdown →
20056042
2 2009365
3 1993217
4 2015172
5 1996154
6 2011147
7 2003104
8 199389
9 199375
10 199657
11 201456
12 199536
13 200032
14 201517
15 199613
16 201713
17 200912
18 199611
19 200311
20 201810

About Jan Berka

Jan Berka is a scholar working on Biomedical Engineering, Metals and Alloys, Materials Chemistry, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 7.7k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (13 papers), Nuclear Materials and Properties (11 papers), Fusion materials and technologies (10 papers), Microfluidic and Bio-sensing Technologies (7 papers), Nuclear reactor physics and engineering (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Biosensors and Analytical Detection (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Ecology (1.4k citations), Genetics (1.1k citations), Cancer Research (433 citations) and Immunology (626 citations). Jan Berka has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Barry L. Karger, Marie C. Ruiz‐Martinez, František Foret, Arthur W. Miller, Purnima Desai Sundar, Arvind Rajpal, Jacob Glanville, Jaume Pons, Gabriella Huerta and Wenwu Zhai. Their work appears in journals such as Electrophoresis, Analytical Chemistry, Journal of Nuclear Materials, Journal of Chromatography A and Proceedings of the National Academy of Sciences.

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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