Tom Slezak
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Genomics and Phylogenetic Studies 10
- Molecular Biology Techniques and Applications 5
- RNA and protein synthesis mechanisms 4
- CRISPR and Genetic Engineering 3
- Ecology 11
- Bacteriophages and microbial interactions 11
- Co-authors
- Shea N. Gardner (15 shared papers)Barry G. Hall (1 shared paper)Jonathan Allen (7 shared papers)Crystal Jaing (6 shared papers)Kevin McLoughlin (5 shared papers)Adam Zemła (2 shared papers)Elizabeth Vitalis (3 shared papers)Matthew D. Dyer (2 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)PLoS ONE (3 papers)Bioinformatics (2 papers)BMC Genomics (2 papers)Nature Genetics (1 paper)
- Partner nations
- United StatesIranJapan
In The Last Decade
Tom Slezak
31 papers receiving 1.8k citations
Tom Slezak's Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Medicine 190
- Endocrinology 188
- Infectious Diseases 395
- Microbiology 117
- Molecular Biology 830
Countries citing papers authored by Tom Slezak
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
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-authors
The 25 scholars most cited alongside Tom Slezak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | kSNP3.0: SNP detection and phylogenetic analysis of genomes without genome alignment or reference genome Hit paper breakdown → | 2015 | 464 |
| 2 | 2019 | 261 | |
| 3 | 2006 | 181 | |
| 4 | 1995 | 146 | |
| 5 | 2010 | 89 | |
| 6 | 2006 | 86 | |
| 7 | 2003 | 69 | |
| 8 | 2016 | 58 | |
| 9 | 1995 | 43 | |
| 10 | 2009 | 40 | |
| 11 | 2013 | 40 | |
| 12 | 1994 | 39 | |
| 13 | 2013 | 37 | |
| 14 | 2013 | 32 | |
| 15 | 2008 | 30 | |
| 16 | 2010 | 27 | |
| 17 | 2015 | 25 | |
| 18 | 2014 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2014 | 22 |
About Tom Slezak
Tom Slezak is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Genetics and Plant Science, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (11 papers), Genomics and Phylogenetic Studies (10 papers), Viral gastroenteritis research and epidemiology (6 papers), Molecular Biology Techniques and Applications (5 papers), RNA and protein synthesis mechanisms (4 papers), Animal Virus Infections Studies (3 papers), Plant Virus Research Studies (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Medicine (190 citations), Endocrinology (188 citations), Infectious Diseases (395 citations), Microbiology (117 citations) and Molecular Biology (830 citations). Tom Slezak has collaborated with scholars based in United States, Iran and Japan. Frequent 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 Jeffrey W. Koehler. Their work appears in journals such as Journal of Clinical Microbiology, PLoS ONE, Bioinformatics, BMC Genomics and Nature Genetics.
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.