Jakub Dostál

77 total papers · 1.3k total citations
39 papers, 1.0k citations indexed

About

Jakub Dostál is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jakub Dostál has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 13 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jakub Dostál's work include Spectroscopy and Quantum Chemical Studies (17 papers), Photoreceptor and optogenetics research (11 papers) and Photosynthetic Processes and Mechanisms (10 papers). Jakub Dostál is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (17 papers), Photoreceptor and optogenetics research (11 papers) and Photosynthetic Processes and Mechanisms (10 papers). Jakub Dostál collaborates with scholars based in Czechia, Germany and United Kingdom. Jakub Dostál's co-authors include Donatas Zigmantas, Jakub Pšenčı́k, Tobias Brixner, Sebastian Boring, Saul Greenberg, Jo Vermeulen, František Vácha, Per Ola Kristensson, Aaron Quigley and Tomáš Mančal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Jakub Dostál

35 papers receiving 976 citations

Author Peers

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

Author Last Decade Papers Cites
Jakub Dostál 575 353 202 199 167 39 1.0k
K. R. Jennings 107 0.2× 441 1.2× 234 1.2× 393 2.0× 23 0.1× 35 1.0k
Gottfried Zimmermann 40 0.1× 172 0.5× 101 0.5× 39 0.2× 135 0.8× 86 1.2k
Matthew D. Cooper 390 0.7× 434 1.2× 114 0.6× 6 0.0× 48 0.3× 18 834
Morten Andreas Geday 272 0.5× 145 0.4× 89 0.4× 33 0.2× 11 0.1× 77 959
Jianqiang Ma 322 0.6× 255 0.7× 126 0.6× 71 0.4× 3 0.0× 53 912
Michael D. McCreary 100 0.2× 63 0.2× 149 0.7× 18 0.1× 69 0.4× 15 869
Tatsumi Kimura 178 0.3× 71 0.2× 73 0.4× 53 0.3× 24 0.1× 49 832
Masahiro Fujiwara 401 0.7× 16 0.0× 68 0.3× 28 0.1× 129 0.8× 73 807
Clemens Wagner 37 0.1× 683 1.9× 46 0.2× 53 0.3× 22 0.1× 44 1.1k
Ghislain Deslongchamps 45 0.1× 390 1.1× 378 1.9× 17 0.1× 33 0.2× 55 1.2k

Countries citing papers authored by Jakub Dostál

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Dostál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Dostál

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Dostál. A scholar is included among the top collaborators of Jakub Dostál 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 Jakub Dostál. Jakub Dostál 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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