Jana Kamanová

1.5k total citations
23 papers, 1.2k citations indexed

About

Jana Kamanová is a scholar working on Microbiology, Endocrinology and Immunology. According to data from OpenAlex, Jana Kamanová has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Microbiology, 9 papers in Endocrinology and 8 papers in Immunology. Recurrent topics in Jana Kamanová's work include Bacterial Infections and Vaccines (14 papers), Escherichia coli research studies (8 papers) and Salmonella and Campylobacter epidemiology (3 papers). Jana Kamanová is often cited by papers focused on Bacterial Infections and Vaccines (14 papers), Escherichia coli research studies (8 papers) and Salmonella and Campylobacter epidemiology (3 papers). Jana Kamanová collaborates with scholars based in Czechia, Belarus and United States. Jana Kamanová's co-authors include Peter Šebo, Jiří Mašín, Jana Vojtová, María Lara‐Tejero, Jorge E. Galán, Hui Sun, Irena Linhartová, Ladislav Bumba, Irena Adkins and Lenka Sadílková and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jana Kamanová

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jana Kamanová Czechia 17 459 380 286 270 265 23 1.2k
Xin‐He Lai China 18 907 2.0× 120 0.3× 192 0.7× 90 0.3× 102 0.4× 93 1.5k
Domenico Iannelli Italy 19 432 0.9× 302 0.8× 105 0.4× 138 0.5× 225 0.8× 64 1.3k
Christian Rüter Germany 15 428 0.9× 331 0.9× 266 0.9× 142 0.5× 115 0.4× 28 994
Tanja Petnicki‐Ocwieja United States 14 569 1.2× 64 0.2× 83 0.3× 109 0.4× 404 1.5× 19 1.9k
Sameera Sayeed United States 23 490 1.1× 93 0.2× 190 0.7× 172 0.6× 375 1.4× 36 1.6k
Pamela Schnupf France 18 623 1.4× 45 0.1× 260 0.9× 131 0.5× 262 1.0× 28 1.4k
Molly A. Bergman United States 13 573 1.2× 186 0.5× 319 1.1× 303 1.1× 639 2.4× 16 1.7k
Minsun Hong South Korea 16 559 1.2× 128 0.3× 93 0.3× 230 0.9× 692 2.6× 39 1.4k
Bidong D. Nguyen Switzerland 16 295 0.6× 337 0.9× 112 0.4× 193 0.7× 213 0.8× 24 854
Jan Kolberg Norway 17 300 0.7× 590 1.6× 55 0.2× 528 2.0× 190 0.7× 55 1.1k

Countries citing papers authored by Jana Kamanová

Since Specialization
Citations

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

Fields of papers citing papers by Jana Kamanová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Kamanová

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

All Works

20 of 20 papers shown
1.
Kamanová, Jana, Sarah J. Johnson, John V. Lin King, et al.. (2025). The Bordetella type III secretion system effector BteA targets host eosinophil-epithelial signaling to promote IL-1Ra expression and persistence. Communications Biology. 8(1). 1484–1484.
2.
Malcová, Ivana, et al.. (2025). Limited response of primary nasal epithelial cells to Bordetella pertussis infection. Microbiology Spectrum. 13(9). e0126725–e0126725. 1 indexed citations
3.
Černý, Ondřej, et al.. (2024). The Bordetella effector protein BteA induces host cell death by disruption of calcium homeostasis. mBio. 15(12). e0192524–e0192524. 3 indexed citations
4.
Bumba, Ladislav, et al.. (2023). BopN is a Gatekeeper of the Bordetella Type III Secretion System. Microbiology Spectrum. 11(3). e0411222–e0411222. 6 indexed citations
5.
Malcová, Ivana, et al.. (2021). Lipid binding by the N-terminal motif mediates plasma membrane localization of Bordetella effector protein BteA. Journal of Biological Chemistry. 296. 100607–100607. 9 indexed citations
6.
Malcová, Ivana, et al.. (2020). Cytotoxicity of the effector protein BteA was attenuated in Bordetella pertussis by insertion of an alanine residue. PLoS Pathogens. 16(8). e1008512–e1008512. 22 indexed citations
7.
Kamanová, Jana. (2020). Bordetella Type III Secretion Injectosome and Effector Proteins. Frontiers in Cellular and Infection Microbiology. 10. 466–466. 23 indexed citations
8.
Sun, Hui, Jana Kamanová, María Lara‐Tejero, & Jorge E. Galán. (2018). Salmonella stimulates pro-inflammatory signalling through p21-activated kinases bypassing innate immune receptors. Nature Microbiology. 3(10). 1122–1130. 34 indexed citations
9.
Sun, Hui, Jana Kamanová, María Lara‐Tejero, & Jorge E. Galán. (2016). A Family of Salmonella Type III Secretion Effector Proteins Selectively Targets the NF-κB Signaling Pathway to Preserve Host Homeostasis. PLoS Pathogens. 12(3). e1005484–e1005484. 77 indexed citations
10.
Kamanová, Jana, Hui Sun, María Lara‐Tejero, & Jorge E. Galán. (2016). The Salmonella Effector Protein SopA Modulates Innate Immune Responses by Targeting TRIM E3 Ligase Family Members. PLoS Pathogens. 12(4). e1005552–e1005552. 82 indexed citations
11.
12.
Adkins, Irena, Jana Kamanová, Jakub Tomala, et al.. (2014). Bordetella Adenylate Cyclase Toxin Differentially Modulates Toll-Like Receptor-Stimulated Activation, Migration and T Cell Stimulatory Capacity of Dendritic Cells. PLoS ONE. 9(8). e104064–e104064. 24 indexed citations
13.
Palová-Jelínková, Lenka, M Dvořák, David P. Funda, et al.. (2013). Pepsin Digest of Wheat Gliadin Fraction Increases Production of IL-1β via TLR4/MyD88/TRIF/MAPK/NF-κB Signaling Pathway and an NLRP3 Inflammasome Activation. PLoS ONE. 8(4). e62426–e62426. 100 indexed citations
14.
Fišer, Radovan, Jiří Mašín, Ladislav Bumba, et al.. (2012). Calcium Influx Rescues Adenylate Cyclase-Hemolysin from Rapid Cell Membrane Removal and Enables Phagocyte Permeabilization by Toxin Pores. PLoS Pathogens. 8(4). e1002580–e1002580. 41 indexed citations
15.
Kamanová, Jana, Jakub Tomala, Jiří Mašín, et al.. (2012). Delivery of Large Heterologous Polypeptides across the Cytoplasmic Membrane of Antigen-Presenting Cells by the Bordetella RTX Hemolysin Moiety Lacking the Adenylyl Cyclase Domain. Infection and Immunity. 80(3). 1181–1192. 22 indexed citations
16.
Linhartová, Irena, Ladislav Bumba, Jiří Mašín, et al.. (2010). RTX proteins: a highly diverse family secreted by a common mechanism. FEMS Microbiology Reviews. 34(6). 1076–1112. 404 indexed citations
17.
Kamanová, Jana, et al.. (2010). Gliadin fragments promote migration of dendritic cells. Journal of Cellular and Molecular Medicine. 15(4). 938–948. 17 indexed citations
18.
Kamanová, Jana, Olga Kofroňová, Jiří Mašín, et al.. (2008). Adenylate Cyclase Toxin Subverts Phagocyte Function by RhoA Inhibition and Unproductive Ruffling. The Journal of Immunology. 181(8). 5587–5597. 91 indexed citations
19.
20.
Vojtová, Jana, Jana Kamanová, & Peter Šebo. (2006). Bordetella adenylate cyclase toxin: a swift saboteur of host defense. Current Opinion in Microbiology. 9(1). 69–75. 138 indexed citations

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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