Glenn Tesler
Impact in
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.05%
Papers in
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- Advanced Combinatorial Mathematics 6
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- Algebraic structures and combinatorial models 5
- Co-authors
- Alexey GurevichNikolay VyahhiPavel A. PevznerVladislav SavelievMax A. AlekseyevDmitry AntipovAlexander SirotkinSergey Nurk
- Journals
- Genome Research (5 papers)Journal of Computational Biology (4 papers)Bioinformatics (3 papers)Nature Biotechnology (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Glenn Tesler
36 papers receiving 28.6k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Molecular Medicine 3.4k
- Endocrinology 3.3k
- Ecology 7.7k
- Microbiology 1.5k
- Molecular Biology 15.8k
Countries citing papers authored by Glenn Tesler
This map shows the geographic impact of Glenn Tesler'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 Glenn Tesler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn Tesler more than expected).
Fields of papers citing papers by Glenn Tesler
This network shows the impact of papers produced by Glenn Tesler. 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 Glenn Tesler. The network helps show where Glenn Tesler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Glenn Tesler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 14 | |
| 2 | SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing Hit paper breakdown → | 2012 | 17957 |
| 3 | 2012 | 12 | |
| 4 | Mapping single molecule sequencing reads using basic local alignment with successive refinement (BLASR): application and theory Hit paper breakdown → | 2012 | 827 |
| 5 | 2011 | 37 | |
| 6 | 2011 | 165 | |
| 7 | 2008 | 1 | |
| 8 | 2006 | 23 | |
| 9 | 2004 | 177 | |
| 10 | 2004 | 122 | |
| 11 | 2004 | 144 | |
| 12 | 2003 | 25 | |
| 13 | 2002 | 89 | |
| 14 | 2002 | 243 | |
| 15 | 2000 | 65 | |
| 16 | 2000 | 9 | |
| 17 | 1999 | 2 | |
| 18 | 1999 | 24 | |
| 19 | 1996 | 31 | |
| 20 | 1993 | 1 |
About Glenn Tesler
Glenn Tesler is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology, Genetics, Plant Science and Molecular Biology, having authored 36 papers that have together received 28.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Chromosomal and Genetic Variations (15 papers), Genome Rearrangement Algorithms (13 papers), Advanced Combinatorial Mathematics (6 papers), Algebraic structures and combinatorial models (5 papers), RNA and protein synthesis mechanisms (5 papers), Microbial Community Ecology and Physiology (4 papers) and Advanced Algebra and Geometry (3 papers). The work is most often cited by research in Molecular Medicine (3.4k citations), Endocrinology (3.3k citations), Ecology (7.7k citations), Microbiology (1.5k citations) and Molecular Biology (15.8k citations). Glenn Tesler has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Alexey Gurevich, Nikolay Vyahhi, Pavel A. Pevzner, Vladislav Saveliev, Max A. Alekseyev, Dmitry Antipov, Alexander Sirotkin, Sergey Nurk, Andrey D. Prjibelski and Anton Bankevich. Their work appears in journals such as Genome Research, Journal of Computational Biology, Bioinformatics, Nature Biotechnology and PLoS Computational Biology.
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.