Tom Slezak

27.3k total citations · 1 hit paper
31 papers, 1.8k citations indexed

About

Tom Slezak is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Tom Slezak has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Ecology and 8 papers in Infectious Diseases. Recurrent topics in Tom Slezak's work include Bacteriophages and microbial interactions (11 papers), Genomics and Phylogenetic Studies (10 papers) and Viral gastroenteritis research and epidemiology (6 papers). Tom Slezak is often cited by papers focused on Bacteriophages and microbial interactions (11 papers), Genomics and Phylogenetic Studies (10 papers) and Viral gastroenteritis research and epidemiology (6 papers). Tom Slezak collaborates with scholars based in United States, Iran and Japan. Tom Slezak's co-authors include Shea N. Gardner, Barry G. Hall, Jonathan Allen, Crystal Jaing, Kevin McLoughlin, Adam Zemła, Elizabeth Vitalis, Matthew D. Dyer, Carol Zhou and Martin Shumway and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Tom Slezak

31 papers receiving 1.8k citations

Hit Papers

kSNP3.0: SNP detection and phylogenetic analysis of genom... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Slezak United States 21 830 395 304 281 199 31 1.8k
Dhruba J. SenGupta United States 23 1.3k 1.6× 401 1.0× 257 0.8× 372 1.3× 217 1.1× 48 2.3k
Shea N. Gardner United States 26 1.0k 1.3× 544 1.4× 512 1.7× 359 1.3× 334 1.7× 59 2.6k
Pascal Lapierre United States 24 1.1k 1.3× 442 1.1× 502 1.7× 390 1.4× 348 1.7× 51 1.9k
Timothy D. Minogue United States 21 1.1k 1.3× 329 0.8× 229 0.8× 157 0.6× 438 2.2× 60 2.0k
Luca Freschi Canada 25 824 1.0× 392 1.0× 203 0.7× 351 1.2× 201 1.0× 46 1.4k
Guoqiang Zhu China 24 815 1.0× 245 0.6× 186 0.6× 160 0.6× 253 1.3× 111 2.0k
Gregory P. Harhay United States 23 706 0.9× 197 0.5× 238 0.8× 163 0.6× 460 2.3× 60 1.6k
Grégory Gimenez France 23 1.4k 1.7× 449 1.1× 485 1.6× 245 0.9× 174 0.9× 61 2.6k
Lisa A. Morici United States 30 755 0.9× 512 1.3× 220 0.7× 723 2.6× 149 0.7× 60 2.4k
Kirk M. Ririe United States 5 1.1k 1.3× 428 1.1× 234 0.8× 488 1.7× 234 1.2× 5 2.5k

Countries citing papers authored by Tom Slezak

Since Specialization
Citations

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

Fields of papers citing papers by Tom Slezak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Slezak

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Slezak. A scholar is included among the top collaborators of Tom Slezak 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 Tom Slezak. Tom Slezak 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.
Sichtig, Heike, Timothy D. Minogue, Yi Yan, et al.. (2019). FDA-ARGOS is a database with public quality-controlled reference genomes for diagnostic use and regulatory science. Nature Communications. 10(1). 3313–3313. 261 indexed citations
2.
Thissen, James B., Nicholas A. Be, Kevin McLoughlin, et al.. (2019). Axiom Microbiome Array, the next generation microarray for high-throughput pathogen and microbiome analysis. PLoS ONE. 14(2). e0212045–e0212045. 23 indexed citations
3.
Doggett, Norman A., Harshini Mukundan, Elliot J. Lefkowitz, et al.. (2016). Culture-Independent Diagnostics for Health Security. Health Security. 14(3). 122–142. 14 indexed citations
4.
Ames, Sasha, Shea N. Gardner, Jose Manuel Martí, et al.. (2015). Using populations of human and microbial genomes for organism detection in metagenomes. Genome Research. 25(7). 1056–1067. 25 indexed citations
5.
Gardner, Shea N., Tom Slezak, & Barry G. Hall. (2015). kSNP3.0: SNP detection and phylogenetic analysis of genomes without genome alignment or reference genome. Bioinformatics. 31(17). 2877–2878. 464 indexed citations breakdown →
6.
Gardner, Shea N., Kenneth G. Frey, C. L. Redden, et al.. (2015). Targeted amplification for enhanced detection of biothreat agents by next-generation sequencing. BMC Research Notes. 8(1). 682–682. 20 indexed citations
7.
Thissen, James B., Kevin McLoughlin, Shea N. Gardner, et al.. (2014). Analysis of sensitivity and rapid hybridization of a multiplexed Microbial Detection Microarray. Journal of Virological Methods. 201. 73–78. 24 indexed citations
8.
Gardner, Shea N. & Tom Slezak. (2014). Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes. BMC Bioinformatics. 15(1). 237–237. 22 indexed citations
9.
Chen‐Harris, Haiyin, et al.. (2013). Ultra-deep mutant spectrum profiling: improving sequencing accuracy using overlapping read pairs. BMC Genomics. 14(1). 96–96. 37 indexed citations
10.
Borucki, Monica K., Jonathan Allen, Haiyin Chen‐Harris, et al.. (2013). The Role of Viral Population Diversity in Adaptation of Bovine Coronavirus to New Host Environments. PLoS ONE. 8(1). e52752–e52752. 32 indexed citations
11.
Zapata, Juan Carlos, Bhawna Poonia, Joseph Bryant, et al.. (2013). An attenuated Lassa vaccine in SIV-infected rhesus macaques does not persist or cause arenavirus disease but does elicit Lassa virus-specific immunity. Virology Journal. 10(1). 52–52. 40 indexed citations
12.
Gardner, Shea N., Crystal Jaing, Kevin McLoughlin, & Tom Slezak. (2010). A microbial detection array (MDA) for viral and bacterial detection. BMC Genomics. 11(1). 668–668. 89 indexed citations
13.
Allen, Jonathan, Shea N. Gardner, Elizabeth Vitalis, & Tom Slezak. (2009). Conserved amino acid markers from past influenza pandemic strains. BMC Microbiology. 9(1). 77–77. 40 indexed citations
14.
Allen, Jonathan, Shea N. Gardner, & Tom Slezak. (2008). DNA signatures for detecting genetic engineering in bacteria. Genome biology. 9(3). R56–R56. 9 indexed citations
15.
Jaing, Crystal, Shea N. Gardner, Kevin McLoughlin, et al.. (2008). A Functional Gene Array for Detection of Bacterial Virulence Elements. PLoS ONE. 3(5). e2163–e2163. 30 indexed citations
16.
Lawler, James V., Timothy P. Endy, Lisa E. Hensley, et al.. (2006). Cynomolgus Macaque as an Animal Model for Severe Acute Respiratory Syndrome. PLoS Medicine. 3(5). e149–e149. 86 indexed citations
17.
Zhou, Carol, et al.. (2006). MvirDB--a microbial database of protein toxins, virulence factors and antibiotic resistance genes for bio-defence applications. Nucleic Acids Research. 35(Database). D391–D394. 181 indexed citations
18.
Ashworth, Linda K., Mark A. Batzer, Brigitte Brandriff, et al.. (1995). An integrated metric physical map of human chromosome 19. Nature Genetics. 11(4). 422–427. 146 indexed citations
19.
Soeda, E., Kazutoyo Osoegawa, Tetsushi Yamagata, et al.. (1995). Cosmid assembly and anchoring to human chromosome 21. Genomics. 25(1). 73–84. 43 indexed citations
20.
Slezak, Tom. (1981). Interfacing for Economical Data Gathering and Processing.. THE journal. 8(5). 59–60. 1 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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