T. Šlezak

30 total papers · 488 total citations
13 papers, 356 citations indexed

About

T. Šlezak is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, T. Šlezak has authored 13 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Artificial Intelligence. Recurrent topics in T. Šlezak's work include Genomics and Phylogenetic Studies (7 papers), Molecular Biology Techniques and Applications (3 papers) and Bacterial Genetics and Biotechnology (2 papers). T. Šlezak is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Molecular Biology Techniques and Applications (3 papers) and Bacterial Genetics and Biotechnology (2 papers). T. Šlezak collaborates with scholars based in United States and Germany. T. Šlezak's co-authors include Elbert Branscomb, A.V. Carrano, Pieter J. de Jong, Adam Zemła, M Waterman, David J. Galas, Lincoln J. McBride, Chen Zhou, Jane E. Lamerdin and Mel N. Kronick and has published in prestigious journals such as Nucleic Acids Research, Proceedings of the IEEE and Genomics.

In The Last Decade

T. Šlezak

12 papers receiving 341 citations

Author Peers

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

Author						Papers	Cites
T. Šlezak	254	78	56	53	24	13	356
Pierre Brézellec	262 1.0×	116 1.5×	48 0.9×	34 0.6×	15 0.6×	10	343
Cuong Cao Dang	286 1.1×	143 1.8×	47 0.8×	42 0.8×	11 0.5×	16	394
Eric T. Dawson	217 0.9×	155 2.0×	39 0.7×	102 1.9×	22 0.9×	10	353
Matthew W. Dimmic	286 1.1×	104 1.3×	26 0.5×	60 1.1×	19 0.8×	7	382
R. A. Leo Elworth	221 0.9×	38 0.5×	35 0.6×	31 0.6×	39 1.6×	17	339
Shangying Wang	213 0.8×	86 1.1×	45 0.8×	11 0.2×	15 0.6×	14	402
David W. Armbruster	301 1.2×	50 0.6×	57 1.0×	14 0.3×	21 0.9×	13	390
Cedrik Magis	267 1.1×	50 0.6×	37 0.7×	44 0.8×	31 1.3×	12	376
Jeng-Yih Chang	208 0.8×	47 0.6×	117 2.1×	24 0.5×	13 0.5×	13	322
Binghang Liu	306 1.2×	69 0.9×	101 1.8×	64 1.2×	17 0.7×	9	379

Countries citing papers authored by T. Šlezak

Since Specialization

Citations

This map shows the geographic impact of T. Šlezak'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 T. Šlezak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Šlezak more than expected).

Fields of papers citing papers by T. Šlezak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Šlezak

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