Jonida Toska

466 total citations
10 papers, 336 citations indexed

About

Jonida Toska is a scholar working on Molecular Biology, Endocrinology and Ecology. According to data from OpenAlex, Jonida Toska has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Endocrinology and 2 papers in Ecology. Recurrent topics in Jonida Toska's work include Vibrio bacteria research studies (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Bacteriophages and microbial interactions (2 papers). Jonida Toska is often cited by papers focused on Vibrio bacteria research studies (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Bacteriophages and microbial interactions (2 papers). Jonida Toska collaborates with scholars based in United States, China and India. Jonida Toska's co-authors include John J. Mekalanos, Brian T. Ho, Arne Rietsch, Chris Wolverton, Eric Pearlman, Charles M. Stopford, Pei‐Chung Lee, R. Karthikeyan, Prajna Lalitha and N. Venkatesh Prajna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cell Reports.

In The Last Decade

Jonida Toska

10 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonida Toska United States	8	170	135	90	72	51	10	336
D S Toder United States	5	347 2.0×	82 0.6×	149 1.7×	159 2.2×	14 0.3×	7	424
Cherisse L. Hall United States	11	200 1.2×	56 0.4×	53 0.6×	67 0.9×	21 0.4×	13	394
Andrew M. Lippa United States	8	199 1.2×	79 0.6×	114 1.3×	168 2.3×	15 0.3×	12	379
Ming-Chung Chang Taiwan	9	137 0.8×	116 0.9×	64 0.7×	63 0.9×	23 0.5×	17	332
Bernadette M. Meberg United States	9	128 0.8×	59 0.4×	56 0.6×	175 2.4×	12 0.2×	10	375
Kerstin Kanonenberg Germany	10	168 1.0×	89 0.7×	56 0.6×	100 1.4×	62 1.2×	11	335
Thibaut Rosay France	8	228 1.3×	84 0.6×	69 0.8×	83 1.2×	36 0.7×	10	340
Nathan P. Bullen Canada	6	152 0.9×	226 1.7×	112 1.2×	103 1.4×	32 0.6×	10	385
Yassine Cherrak Switzerland	7	143 0.8×	259 1.9×	98 1.1×	114 1.6×	24 0.5×	11	367

Countries citing papers authored by Jonida Toska

Since Specialization

Citations

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

Fields of papers citing papers by Jonida Toska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonida Toska

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

All Works

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10 of 10 papers shown

Toska, Jonida, et al.. (2024). A coordinated attack by a bacterial secretion system and a small molecule drives prey specificity. Communications Biology. 7(1). 958–958. 4 indexed citations

Robins, William P., et al.. (2024). DdmABC-dependent death triggered by viral palindromic DNA sequences. Cell Reports. 43(7). 114450–114450. 7 indexed citations

Chou, Shuli, Franz G. Zingl, Shiqing Zhang, et al.. (2023). Synthetic peptides that form nanostructured micelles have potent antibiotic and antibiofilm activity against polymicrobial infections. Proceedings of the National Academy of Sciences. 120(4). e2219679120–e2219679120. 31 indexed citations

Toska, Jonida, et al.. (2020). Endogenous membrane stress induces T6SS activity in Pseudomonas aeruginosa. Proceedings of the National Academy of Sciences. 118(1). 21 indexed citations

Toska, Jonida, Brian T. Ho, & John J. Mekalanos. (2018). Exopolysaccharide protects Vibrio cholerae from exogenous attacks by the type 6 secretion system. Proceedings of the National Academy of Sciences. 115(31). 7997–8002. 88 indexed citations

Toska, Jonida, et al.. (2014). Diversity of Virulence Phenotypes among Type III Secretion Negative Pseudomonas aeruginosa Clinical Isolates. PLoS ONE. 9(1). e86829–e86829. 23 indexed citations

Lee, Pei‐Chung, et al.. (2014). Control of type III secretion activity and substrate specificity by the cytoplasmic regulator PcrG. Proceedings of the National Academy of Sciences. 111(19). E2027–36. 52 indexed citations

Karthikeyan, R., Sixto M. Leal, Jonida Toska, et al.. (2013). Host Response and Bacterial Virulence Factor Expression in Pseudomonas aeruginosa and Streptococcus pneumoniae Corneal Ulcers. PLoS ONE. 8(6). e64867–e64867. 66 indexed citations

Toska, Jonida, et al.. (2012). Flow Cytometry-based Purification of <em>S. cerevisiae</em> Zygotes. Journal of Visualized Experiments. e4197–e4197. 4 indexed citations

10.

Wolverton, Chris, et al.. (2010). Root cap angle and gravitropic response rate are uncoupled in the Arabidopsis pgm‐1 mutant. Physiologia Plantarum. 141(4). 373–382. 40 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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