Lee S. Katz

3.3k total citations
43 papers, 1.2k citations indexed

About

Lee S. Katz is a scholar working on Molecular Biology, Food Science and Biotechnology. According to data from OpenAlex, Lee S. Katz has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Food Science and 11 papers in Biotechnology. Recurrent topics in Lee S. Katz's work include Genomics and Phylogenetic Studies (17 papers), Salmonella and Campylobacter epidemiology (14 papers) and Listeria monocytogenes in Food Safety (11 papers). Lee S. Katz is often cited by papers focused on Genomics and Phylogenetic Studies (17 papers), Salmonella and Campylobacter epidemiology (14 papers) and Listeria monocytogenes in Food Safety (11 papers). Lee S. Katz collaborates with scholars based in United States, Canada and United Kingdom. Lee S. Katz's co-authors include Taylor Griswold, Heather A. Carleton, Xiangyu Deng, Cheryl L. Tarr, Henk C. den Bakker, Shaokang Zhang, Jason Caravas, J. Todd Streelman, Leonard W. Mayer and Shatavia S. Morrison and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Lee S. Katz

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lee S. Katz United States	17	397	360	255	233	197	43	1.2k
Biju Joseph Germany	19	355 0.9×	520 1.4×	444 1.7×	147 0.6×	197 1.0×	35	1.5k
Nick Thomson United Kingdom	10	194 0.5×	862 2.4×	99 0.4×	210 0.9×	180 0.9×	21	1.5k
Hana Drahovská Slovakia	19	308 0.8×	295 0.8×	219 0.9×	590 2.5×	56 0.3×	67	1.3k
A G Steigerwalt United States	24	303 0.8×	673 1.9×	100 0.4×	634 2.7×	137 0.7×	25	1.8k
Nicola Holden United Kingdom	24	328 0.8×	428 1.2×	327 1.3×	577 2.5×	81 0.4×	68	1.7k
Charlotta Löfström Denmark	20	743 1.9×	580 1.6×	310 1.2×	332 1.4×	95 0.5×	50	1.6k
Tianyan Song Sweden	12	178 0.4×	339 0.9×	56 0.2×	490 2.1×	77 0.4×	17	921
Eric Marinier Canada	5	146 0.4×	454 1.3×	64 0.3×	124 0.5×	76 0.4×	6	970
Mobolaji Adeolu Canada	14	119 0.3×	725 2.0×	61 0.2×	159 0.7×	124 0.6×	16	1.6k
Arjun Prasad United States	10	421 1.1×	850 2.4×	97 0.4×	456 2.0×	201 1.0×	17	2.1k

Countries citing papers authored by Lee S. Katz

Since Specialization

Citations

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

Fields of papers citing papers by Lee S. Katz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee S. Katz. 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 Lee S. Katz. The network helps show where Lee S. Katz may publish in the future.

Co-authorship network of co-authors of Lee S. Katz

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

All Works

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20 of 20 papers shown

Katz, Lee S., Taylor Griswold, Rebecca L. Lindsey, et al.. (2025). Kalamari: a representative set of genomes of public health concern. Microbiology Resource Announcements. 14(2). e0096324–e0096324.

Bakker, Henk C. den, et al.. (2024). Mashpit: sketching out genomic epidemiology. The Journal of Open Source Software. 9(104). 7306–7306.

Lindsey, Rebecca L., Lori M. Gladney, Andrew Huang, et al.. (2023). Rapid identification of enteric bacteria from whole genome sequences using average nucleotide identity metrics. Frontiers in Microbiology. 14. 1225207–1225207. 12 indexed citations

Gu, Weidong, Zhaohui Cui, Steven Stroika, et al.. (2023). Predicting Food Sources of Listeria monocytogenes Based on Genomic Profiling Using Random Forest Model. Foodborne Pathogens and Disease. 20(12). 579–586. 6 indexed citations

Putten, Boas C.L. van der, et al.. (2022). Software testing in microbial bioinformatics: a call to action. Microbial Genomics. 8(3). 1 indexed citations

Bakker, Henk C. den & Lee S. Katz. (2021). Sepia, a taxonomy oriented read classifier in Rust. The Journal of Open Source Software. 6(68). 3839–3839. 2 indexed citations

Wagner, Darlene, Heather A. Carleton, Eija Trees, & Lee S. Katz. (2021). Evaluating whole-genome sequencing quality metrics for enteric pathogen outbreaks. PeerJ. 9. e12446–e12446. 3 indexed citations

Griswold, Taylor, et al.. (2021). SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data. The Journal of Open Source Software. 6(60). 2334–2334. 2 indexed citations

Katz, Lee S., Taylor Griswold, Shatavia S. Morrison, et al.. (2019). Mashtree: a rapid comparison of whole genome sequence files. The Journal of Open Source Software. 4(44). 1762–1762. 146 indexed citations

10.

Dykes, Janet K., et al.. (2019). Molecular Characterization of Clostridium botulinum Harboring the bont /B7 Gene. Foodborne Pathogens and Disease. 16(6). 428–433. 5 indexed citations

11.

Pattabiraman, Vaishnavi, et al.. (2018). Genome wide characterization of enterotoxigenic Escherichia coli serogroup O6 isolates from multiple outbreaks and sporadic infections from 1975-2016. PLoS ONE. 13(12). e0208735–e0208735. 8 indexed citations

12.

Petkau, Aaron, Philip Mabon, Natalie Knox, et al.. (2017). SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology. Microbial Genomics. 3(6). e000116–e000116. 108 indexed citations

13.

Timme, Ruth, Hugh Rand, Martin Shumway, et al.. (2017). Benchmark datasets for phylogenomic pipeline validation, applications for foodborne pathogen surveillance. PeerJ. 5. e3893–e3893. 37 indexed citations

14.

Jackson, Kelly A., Steven Stroika, Lee S. Katz, et al.. (2016). Use of Whole Genome Sequencing and Patient Interviews To Link a Case of Sporadic Listeriosis to Consumption of Prepackaged Lettuce. Journal of Food Protection. 79(5). 806–809. 16 indexed citations

15.

Kahler, Amy M., Bradd J. Haley, Arlene Chen, et al.. (2014). Environmental Surveillance for Toxigenic Vibrio cholerae in Surface Waters of Haiti. American Journal of Tropical Medicine and Hygiene. 92(1). 118–125. 22 indexed citations

16.

Lomonaco, Sara, Bindhu Verghese, Peter Gerner‐Smidt, et al.. (2012). Novel Epidemic Clones ofListeria monocytogenes, United States, 2011. Emerging infectious diseases. 19(1). 147–150. 87 indexed citations

17.

Katz, Lee S., Jay C. Humphrey, Andrew B. Conley, et al.. (2011). Neisseria Base: a comparative genomics database for Neisseria meningitidis. Database. 2011. bar035–bar035. 8 indexed citations

18.

Katz, Lee S., Brian H. Harcourt, Susanna Schmink, et al.. (2009). Meningococcus genome informatics platform: a system for analyzing multilocus sequence typing data. Nucleic Acids Research. 37(suppl_2). W606–W611. 9 indexed citations

19.

Jordan, I. King, Lee S. Katz, Dee R. Denver, & J. Todd Streelman. (2008). Natural selection governs local, but not global, evolutionary gene coexpression networks in Caenorhabditis elegans. BMC Systems Biology. 2(1). 96–96. 11 indexed citations

20.

Loh, Yong‐Hwee Eddie, Lee S. Katz, Meryl C. Mims, et al.. (2008). Comparative analysis reveals signatures of differentiation amid genomic polymorphism in Lake Malawi cichlids. Genome biology. 9(7). R113–R113. 91 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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