Karen L. Visick

5.3k total citations
81 papers, 3.9k citations indexed

About

Karen L. Visick is a scholar working on Molecular Biology, Endocrinology and Genetics. According to data from OpenAlex, Karen L. Visick has authored 81 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 64 papers in Endocrinology and 20 papers in Genetics. Recurrent topics in Karen L. Visick's work include Vibrio bacteria research studies (61 papers), Bacterial biofilms and quorum sensing (57 papers) and Bacterial Genetics and Biotechnology (14 papers). Karen L. Visick is often cited by papers focused on Vibrio bacteria research studies (61 papers), Bacterial biofilms and quorum sensing (57 papers) and Bacterial Genetics and Biotechnology (14 papers). Karen L. Visick collaborates with scholars based in United States, France and Australia. Karen L. Visick's co-authors include Edward G. Ruby, Fitnat H. Yildiz, Alan J. Wolfe, Margaret McFall‐Ngai, Eric V. Stabb, Elizabeth A. Hussa, Cindy R. DeLoney‐Marino, Andrew R. Morris, Cynthia L. Darnell and Kati Geszvain and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Karen L. Visick

79 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen L. Visick United States 34 2.6k 2.2k 840 803 770 81 3.9k
Eric V. Stabb United States 33 2.1k 0.8× 1.5k 0.7× 851 1.0× 795 1.0× 704 0.9× 74 4.1k
Paul V. Dunlap United States 33 2.4k 0.9× 832 0.4× 1.0k 1.2× 478 0.6× 627 0.8× 82 3.4k
Mark J. McBride United States 43 3.0k 1.2× 694 0.3× 1.4k 1.6× 652 0.8× 1.2k 1.6× 79 4.8k
Artur Silva Brazil 30 1.8k 0.7× 768 0.3× 620 0.7× 296 0.4× 563 0.7× 237 4.2k
Mark J. Mandel United States 24 1.1k 0.4× 813 0.4× 436 0.5× 284 0.4× 429 0.6× 53 1.9k
Linda L. McCarter United States 41 2.9k 1.1× 2.5k 1.1× 747 0.9× 1.0k 1.3× 1.2k 1.6× 52 4.5k
Spencer V. Nyholm United States 24 836 0.3× 614 0.3× 814 1.0× 600 0.7× 295 0.4× 45 2.6k
Yechezkel Kashi Israel 36 3.0k 1.2× 470 0.2× 318 0.4× 560 0.7× 1.4k 1.9× 106 5.6k
Ann M. Stevens United States 29 2.2k 0.8× 832 0.4× 648 0.8× 335 0.4× 1000 1.3× 58 3.4k
Debra L. Milton Sweden 30 1.8k 0.7× 1.9k 0.9× 612 0.7× 1.2k 1.5× 565 0.7× 43 3.5k

Countries citing papers authored by Karen L. Visick

Since Specialization
Citations

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

Fields of papers citing papers by Karen L. Visick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen L. Visick. 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 Karen L. Visick. The network helps show where Karen L. Visick may publish in the future.

Co-authorship network of co-authors of Karen L. Visick

This figure shows the co-authorship network connecting the top 25 collaborators of Karen L. Visick. A scholar is included among the top collaborators of Karen L. Visick 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 Karen L. Visick. Karen L. Visick 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.
Visick, Karen L., et al.. (2024). Vibrio fischeri : a model for host-associated biofilm formation. Journal of Bacteriology. 206(2). e0037023–e0037023. 6 indexed citations
2.
Fleming, Derek, Ehud Banin, Susanne Häußler, et al.. (2023). The biofilm community resurfaces: new findings and post-pandemic progress. Journal of Bacteriology. 205(10). e0016623–e0016623. 2 indexed citations
3.
Visick, Karen L., et al.. (2023). Computational and cellular exploration of the protein-protein interaction between Vibrio fischeri STAS domain protein SypA and serine kinase SypE. Communicative & Integrative Biology. 16(1). 2203626–2203626. 1 indexed citations
4.
Christensen, David G., et al.. (2022). High Levels of Cyclic Diguanylate Interfere with Beneficial Bacterial Colonization. mBio. 13(4). e0167122–e0167122. 17 indexed citations
5.
Corcoran, Christopher J., et al.. (2021). Quorum Sensing and Cyclic di-GMP Exert Control Over Motility of Vibrio fischeri KB2B1. Frontiers in Microbiology. 12. 690459–690459. 15 indexed citations
6.
Christensen, David G. & Karen L. Visick. (2020). Vibrio fischeri: Laboratory Cultivation, Storage, and Common Phenotypic Assays. Current Protocols in Microbiology. 57(1). e103–e103. 19 indexed citations
7.
Visick, Karen L., et al.. (2015). Signaling between two interacting sensor kinases promotes biofilms and colonization by a bacterial symbiont. Molecular Microbiology. 96(2). 233–248. 33 indexed citations
8.
Visick, Karen L., et al.. (2014). Engineering Vibrio fischeri for Inducible Gene Expression. The Open Microbiology Journal. 8(1). 122–129. 6 indexed citations
9.
10.
Visick, Karen L., et al.. (2013). Gimme shelter: how Vibrio fischeri successfully navigates an animal’s multiple environments. Frontiers in Microbiology. 4. 356–356. 30 indexed citations
11.
Visick, Karen L., et al.. (2012). LuxU connects quorum sensing to biofilm formation in Vibrio fischeri. Molecular Microbiology. 86(4). 954–970. 36 indexed citations
12.
Geszvain, Kati & Karen L. Visick. (2008). The Hybrid Sensor Kinase RscS Integrates Positive and Negative Signals To Modulate Biofilm Formation in Vibrio fischeri. Journal of Bacteriology. 190(13). 4437–4446. 19 indexed citations
13.
Darnell, Cynthia L., Elizabeth A. Hussa, & Karen L. Visick. (2008). The Putative Hybrid Sensor Kinase SypF Coordinates Biofilm Formation inVibrio fischeriby Acting Upstream of Two Response Regulators, SypG and VpsR. Journal of Bacteriology. 190(14). 4941–4950. 52 indexed citations
14.
Wolfe, Alan J. & Karen L. Visick. (2007). Get the Message Out: Cyclic-Di-GMP Regulates Multiple Levels of Flagellum-Based Motility. Journal of Bacteriology. 190(2). 463–475. 177 indexed citations
15.
Geszvain, Kati, et al.. (2006). The symbiosis regulator RscS controls the syp gene locus, biofilm formation and symbiotic aggregation by Vibrio fischeri. Molecular Microbiology. 62(6). 1586–1600. 117 indexed citations
16.
Visick, Karen L. & Edward G. Ruby. (2006). Vibrio fischeri and its host: it takes two to tango. Current Opinion in Microbiology. 9(6). 632–638. 119 indexed citations
17.
Geszvain, Kati & Karen L. Visick. (2006). Roles of Bacterial Regulators in the Symbiosis between Vibrio fischeri and Euprymna scolopes. Progress in molecular and subcellular biology. 41. 277–290. 8 indexed citations
18.
Hussa, Elizabeth A., et al.. (2005). A novel, conserved cluster of genes promotes symbiotic colonization and σ54‐dependent biofilm formation by Vibrio fischeri. Molecular Microbiology. 57(5). 1485–1498. 118 indexed citations
19.
Visick, Karen L., et al.. (2002). Role for Phosphoglucomutase in Vibrio fischeri-Euprymna scolopes Symbiosis. Journal of Bacteriology. 184(18). 5121–5129. 37 indexed citations
20.
Visick, Karen L., et al.. (2001). Two-Component Sensor Required for Normal Symbiotic Colonization of Euprymna scolopes by Vibrio fischeri. Journal of Bacteriology. 183(3). 835–842. 88 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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