Jana Suchánková

26 total papers · 621 total citations
25 papers, 543 citations indexed

About

Jana Suchánková is a scholar working on Spectroscopy, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jana Suchánková has authored 25 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Spectroscopy, 13 papers in Biomedical Engineering and 12 papers in Molecular Biology. Recurrent topics in Jana Suchánková's work include Analytical Chemistry and Chromatography (15 papers), Microfluidic and Capillary Electrophoresis Applications (12 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (8 papers). Jana Suchánková is often cited by papers focused on Analytical Chemistry and Chromatography (15 papers), Microfluidic and Capillary Electrophoresis Applications (12 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (8 papers). Jana Suchánková collaborates with scholars based in Czechia, Norway and Netherlands. Jana Suchánková's co-authors include Pavel Coufal, Zuzana Bosáková, Eva Tesařová, Karel Štulı́k, Věra Pacáková, Eva Bártová, Martin Bunček, Soňa Legartová, Dmitry V. Sorokin and Juraj Ševčı́k and has published in prestigious journals such as Journal of Chromatography A, Analytica Chimica Acta and Journal of Cellular Biochemistry.

In The Last Decade

Jana Suchánková

25 papers receiving 536 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jana Suchánková 360 347 160 59 17 25 543
Sang-Ryoul Park 243 0.7× 146 0.4× 252 1.6× 29 0.5× 21 1.2× 31 576
Hiroo Sasaki 123 0.3× 315 0.9× 373 2.3× 92 1.6× 9 0.5× 26 563
Ala A. Alhusban 307 0.9× 110 0.3× 174 1.1× 58 1.0× 44 2.6× 29 577
Toshio Kakimoto 241 0.7× 203 0.6× 241 1.5× 31 0.5× 6 0.4× 31 595
Victoria A. VanderNoot 239 0.7× 74 0.2× 187 1.2× 90 1.5× 19 1.1× 25 573
Gwenaël Nys 186 0.5× 119 0.3× 210 1.3× 30 0.5× 9 0.5× 25 494
Tony Tegeler 117 0.3× 278 0.8× 277 1.7× 31 0.5× 38 2.2× 17 499
Jennifer C. Gluckman 339 0.9× 439 1.3× 106 0.7× 180 3.1× 4 0.2× 11 549
Katsuo Komiya 111 0.3× 284 0.8× 314 2.0× 77 1.3× 5 0.3× 17 477
Yanrong Wen 264 0.7× 206 0.6× 310 1.9× 266 4.5× 17 1.0× 20 599

Countries citing papers authored by Jana Suchánková

Since Specialization
Citations

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

Fields of papers citing papers by Jana Suchánková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Suchánková

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Suchánková. A scholar is included among the top collaborators of Jana Suchánková 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 Jana Suchánková. Jana Suchánková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026