Elisabeth R.M. Tillier
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 18
- RNA and protein synthesis mechanisms 12
- Machine Learning in Bioinformatics 9
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 3
- Genetics top 5%
- Bacterial Genetics and Biotechnology 3
- Ecology top 10%
- Bacteriophages and microbial interactions 3
- Paleontology top 10%
- Plant Science top 10%
- Co-authors
- Richard A. CollinsPaulo NuinAndrew D. SmithZhouzhi WangGreg ClarkRobert L. CharleboisNick LoizosMarlene Belfort
- Cited by
- Molecular BiologyGeneticsEcology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Genetics (1 paper)Bioinformatics (3 papers)
- Partner nations
- CanadaUnited StatesRussia
In The Last Decade
Elisabeth R.M. Tillier
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.2k
- Genetics 472
- Ecology 188
- Paleontology 42
- Plant Science 205
Countries citing papers authored by Elisabeth R.M. Tillier
This map shows the geographic impact of Elisabeth R.M. Tillier'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 Elisabeth R.M. Tillier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth R.M. Tillier more than expected).
Fields of papers citing papers by Elisabeth R.M. Tillier
This network shows the impact of papers produced by Elisabeth R.M. Tillier. 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 Elisabeth R.M. Tillier. The network helps show where Elisabeth R.M. Tillier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elisabeth R.M. Tillier, 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 | 2018 | 12 | |
| 2 | 2017 | 32 | |
| 3 | 2016 | 2 | |
| 4 | 2016 | 1 | |
| 5 | 2014 | 13 | |
| 6 | 2013 | 109 | |
| 7 | 2012 | 12 | |
| 8 | 2011 | 13 | |
| 9 | 2010 | 11 | |
| 10 | 2009 | 35 | |
| 11 | 2009 | 8 | |
| 12 | 2007 | 1 | |
| 13 | 2006 | 24 | |
| 14 | 2006 | 119 | |
| 15 | Genome rearrangement and planning | 2005 | 9 |
| 16 | 2005 | 35 | |
| 17 | 2003 | 36 | |
| 18 | 2000 | 33 | |
| 19 | 2000 | 156 | |
| 20 | 1988 | 4 |
About Elisabeth R.M. Tillier
Elisabeth R.M. Tillier is a scholar working on Molecular Biology, Genetics and Microbiology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (12 papers), Machine Learning in Bioinformatics (9 papers), Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (5 papers), Bacteriophages and microbial interactions (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (472 citations) and Ecology (188 citations). Elisabeth R.M. Tillier has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Richard A. Collins, Paulo Nuin, Andrew D. Smith, Zhouzhi Wang, Greg Clark, Robert L. Charlebois, Nick Loizos, Marlene Belfort, Andy Wing Chun Pang and Shengzhong Feng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Bioinformatics.
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.