Lenka Křížová

42 total papers · 1.7k total citations
20 papers, 1.3k citations indexed

About

Lenka Křížová is a scholar working on Molecular Medicine, Molecular Biology and Endocrinology. According to data from OpenAlex, Lenka Křížová has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Medicine, 13 papers in Molecular Biology and 4 papers in Endocrinology. Recurrent topics in Lenka Křížová's work include Antibiotic Resistance in Bacteria (16 papers), Genomics and Phylogenetic Studies (9 papers) and Plant Pathogenic Bacteria Studies (4 papers). Lenka Křížová is often cited by papers focused on Antibiotic Resistance in Bacteria (16 papers), Genomics and Phylogenetic Studies (9 papers) and Plant Pathogenic Bacteria Studies (4 papers). Lenka Křížová collaborates with scholars based in Czechia, France and United States. Lenka Křížová's co-authors include Alexandr Nemec, Martina Maixnerová, Lenie Dijkshoorn, Sylvain Brisse, Ondřej Šedo, T. J. K. van der Reijden, Mario Vaneechoutte, Pieter Deschaght, Virginie Passet and Patrice Courvalin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Lenka Křížová

20 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Lenka Křížová 1.0k 625 487 164 143 20 1.3k
Martina Maixnerová 910 0.9× 664 1.1× 421 0.9× 148 0.9× 124 0.9× 31 1.2k
T. J. K. van der Reijden 1.0k 1.0× 644 1.0× 588 1.2× 136 0.8× 149 1.0× 30 1.5k
Adriana S. Limansky 1.0k 1.0× 463 0.7× 591 1.2× 199 1.2× 204 1.4× 40 1.3k
Jesús Aranda 1.0k 1.0× 593 0.9× 486 1.0× 203 1.2× 209 1.5× 30 1.5k
Dachuan Lin 711 0.7× 494 0.8× 348 0.7× 158 1.0× 105 0.7× 35 1.5k
Daniel Aubert 778 0.8× 677 1.1× 718 1.5× 168 1.0× 126 0.9× 31 1.5k
Tanny van der Reijden 938 0.9× 446 0.7× 587 1.2× 134 0.8× 153 1.1× 12 1.1k
Paul Pantapalangkoor 1.1k 1.0× 505 0.8× 584 1.2× 112 0.7× 155 1.1× 16 1.5k
María Alejandra Mussi 820 0.8× 518 0.8× 471 1.0× 139 0.8× 142 1.0× 33 1.1k
R Wacharotayankun 1.1k 1.0× 488 0.8× 510 1.0× 204 1.2× 244 1.7× 11 1.3k

Countries citing papers authored by Lenka Křížová

Since Specialization
Citations

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

Fields of papers citing papers by Lenka Křížová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lenka Křížová

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