Julia C. van Kessel

2.6k total citations
35 papers, 1.8k citations indexed

About

Julia C. van Kessel is a scholar working on Molecular Biology, Endocrinology and Genetics. According to data from OpenAlex, Julia C. van Kessel has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 25 papers in Endocrinology and 14 papers in Genetics. Recurrent topics in Julia C. van Kessel's work include Vibrio bacteria research studies (25 papers), Bacterial biofilms and quorum sensing (21 papers) and Bacterial Genetics and Biotechnology (14 papers). Julia C. van Kessel is often cited by papers focused on Vibrio bacteria research studies (25 papers), Bacterial biofilms and quorum sensing (21 papers) and Bacterial Genetics and Biotechnology (14 papers). Julia C. van Kessel collaborates with scholars based in United States, United Kingdom and Israel. Julia C. van Kessel's co-authors include Graham F. Hatfull, Bonnie L. Bassler, Steven T. Rutherford, Yi Shao, Laura J. Marinelli, Ryan R. Chaparian, Zuzana Swigoňová, Mariana Piuri, Lauren M. Oldfield and Alan F. Utria and has published in prestigious journals such as Cell, Nucleic Acids Research and Genes & Development.

In The Last Decade

Julia C. van Kessel

32 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia C. van Kessel United States 17 1.2k 602 601 534 399 35 1.8k
Gal Ofir Israel 9 1.3k 1.1× 1.3k 2.2× 285 0.5× 386 0.7× 208 0.5× 10 2.2k
Michael C. Chao United States 21 811 0.7× 326 0.5× 368 0.6× 451 0.8× 501 1.3× 32 1.7k
Joel A. Bozue United States 23 1.0k 0.8× 328 0.5× 247 0.4× 509 1.0× 265 0.7× 61 1.6k
Adi Millman Israel 15 1.3k 1.0× 1.0k 1.7× 290 0.5× 365 0.7× 254 0.6× 16 2.1k
Anna Lopatina Russia 13 1.0k 0.8× 1.1k 1.9× 253 0.4× 368 0.7× 134 0.3× 17 1.7k
Peter van Ulsen Netherlands 24 863 0.7× 422 0.7× 448 0.7× 795 1.5× 294 0.7× 64 1.9k
Bradley R. Clarke Canada 24 856 0.7× 482 0.8× 583 1.0× 611 1.1× 177 0.4× 34 1.7k
K. Bodi United States 10 875 0.7× 295 0.5× 188 0.3× 369 0.7× 140 0.4× 11 1.4k
Christelle M. Roux United States 23 881 0.7× 250 0.4× 206 0.3× 301 0.6× 204 0.5× 28 1.7k
Rudy Antoine France 22 935 0.8× 286 0.5× 427 0.7× 682 1.3× 447 1.1× 59 2.0k

Countries citing papers authored by Julia C. van Kessel

Since Specialization
Citations

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

Fields of papers citing papers by Julia C. van Kessel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia C. van Kessel. 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 Julia C. van Kessel. The network helps show where Julia C. van Kessel may publish in the future.

Co-authorship network of co-authors of Julia C. van Kessel

This figure shows the co-authorship network connecting the top 25 collaborators of Julia C. van Kessel. A scholar is included among the top collaborators of Julia C. van Kessel 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 Julia C. van Kessel. Julia C. van Kessel 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.
Peters, Jason M., et al.. (2024). Mobile-CRISPRi as a powerful tool for modulating Vibrio gene expression. Applied and Environmental Microbiology. 90(6). e0006524–e0006524. 4 indexed citations
2.
Kessel, Julia C. van & Andrew Camilli. (2024). Vibrio cholerae : a fundamental model system for bacterial genetics and pathogenesis research. Journal of Bacteriology. 206(11). e0024824–e0024824. 3 indexed citations
3.
Cohen, Hadar, Ram Podicheti, Douglas B. Rusch, et al.. (2024). The coral pathogen Vibrio coralliilyticus uses a T6SS to secrete a group of novel anti-eukaryotic effectors that contribute to virulence. PLoS Biology. 22(9). e3002734–e3002734. 7 indexed citations
4.
5.
Haycocks, James R. J., et al.. (2023). A simple mechanism for integration of quorum sensing and cAMP signalling in Vibrio cholerae. eLife. 12. 9 indexed citations
6.
Fan, Lixin, et al.. (2021). The DNA binding domain of the Vibrio vulnificus SmcR transcription factor is flexible and binds diverse DNA sequences. Nucleic Acids Research. 49(10). 5967–5984. 8 indexed citations
7.
Podicheti, Ram, et al.. (2021). The Polar Flagellar Transcriptional Regulatory Network in Vibrio campbellii Deviates from Canonical Vibrio Species. Journal of Bacteriology. 203(20). e0027621–e0027621. 17 indexed citations
8.
Shah, Priyanka, et al.. (2021). Amino acid divergence in the ligand‐binding pocket of Vibrio LuxR/HapR proteins determines the efficacy of thiophenesulfonamide inhibitors. Molecular Microbiology. 116(4). 1173–1188. 10 indexed citations
9.
Kessel, Julia C. van, et al.. (2020). Species-Specific Quorum Sensing Represses the Chitobiose Utilization Locus in Vibrio cholerae. Applied and Environmental Microbiology. 86(18). 4 indexed citations
10.
Chaparian, Ryan R., et al.. (2020). Hierarchical Transcriptional Control of the LuxR Quorum-Sensing Regulon of Vibrio harveyi. Journal of Bacteriology. 202(14). 16 indexed citations
11.
Kessel, Julia C. van, et al.. (2020). Dual-function quorum-sensing systems in bacterial pathogens and symbionts. PLoS Pathogens. 16(10). e1008934–e1008934. 9 indexed citations
12.
Chaparian, Ryan R., et al.. (2019). Global H-NS counter-silencing by LuxR activates quorum sensing gene expression. Nucleic Acids Research. 48(1). 171–183. 24 indexed citations
13.
Podicheti, Ram, et al.. (2019). Diversity in Natural Transformation Frequencies and Regulation across Vibrio Species. mBio. 10(6). 29 indexed citations
14.
15.
Bagert, John D., Julia C. van Kessel, Michael J. Sweredoski, et al.. (2015). Time-resolved proteomic analysis of quorum sensing in Vibrio harveyi. Chemical Science. 7(3). 1797–1806. 17 indexed citations
16.
Kessel, Julia C. van, Steven T. Rutherford, Yi Shao, Alan F. Utria, & Bonnie L. Bassler. (2012). Individual and Combined Roles of the Master Regulators AphA and LuxR in Control of the Vibrio harveyi Quorum-Sensing Regulon. Journal of Bacteriology. 195(3). 436–443. 97 indexed citations
17.
Rutherford, Steven T., Julia C. van Kessel, Yi Shao, & Bonnie L. Bassler. (2011). AphA and LuxR/HapR reciprocally control quorum sensing in vibrios. Genes & Development. 25(4). 397–408. 223 indexed citations
18.
Kessel, Julia C. van & Graham F. Hatfull. (2008). Efficient point mutagenesis in mycobacteria using single‐stranded DNA recombineering: characterization of antimycobacterial drug targets. Molecular Microbiology. 67(5). 1094–1107. 119 indexed citations
19.
Kessel, Julia C. van, Laura J. Marinelli, & Graham F. Hatfull. (2008). Recombineering mycobacteria and their phages. Nature Reviews Microbiology. 6(11). 851–857. 116 indexed citations
20.
Kessel, Julia C. van & Graham F. Hatfull. (2008). Mycobacterial Recombineering. Methods in molecular biology. 435. 203–215. 76 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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