Eli Levy Karin
Impact in
- Ecology top 10%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
-
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Protist diversity and phylogeny
Papers in
-
- Genomics and Phylogenetic Studies 15
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 3
- Gene expression and cancer classification 2
- Genetics 5
- Genetic diversity and population structure 4
- Co-authors
- Milot Mirdita (8 shared papers)Johannes Söding (5 shared papers)Martin Steinegger (6 shared papers)Tal Pupko (12 shared papers)Florian P. Breitwieser (1 shared paper)Haim Ashkenazy (7 shared papers)Itay Mayrose (3 shared papers)Clovis Galiez (1 shared paper)
- Journals
- Systematic Biology (4 papers)Nucleic Acids Research (4 papers)Genome Biology and Evolution (3 papers)Bioinformatics (2 papers)Nature Methods (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Eli Levy Karin
23 papers receiving 716 citations
Eli Levy Karin's Hit Papers
Peers
Comparison fields: 5 of 90
- Ecology 219
- Molecular Biology 421
- Paleontology 25
- Genetics 88
- Microbiology 18
Countries citing papers authored by Eli Levy Karin
This map shows the geographic impact of Eli Levy Karin'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 Eli Levy Karin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Levy Karin more than expected).
Fields of papers citing papers by Eli Levy Karin
This network shows the impact of papers produced by Eli Levy Karin. 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 Eli Levy Karin. The network helps show where Eli Levy Karin may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli Levy Karin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 168 | |
| 2 | Fast and sensitive taxonomic assignment to metagenomic contigs Hit paper breakdown → | 2021 | 166 |
| 3 | 2024 | 62 | |
| 4 | 2021 | 60 | |
| 5 | 2024 | 37 | |
| 6 | 2017 | 29 | |
| 7 | 2025 | 29 | |
| 8 | 2018 | 25 | |
| 9 | 2013 | 21 | |
| 10 | 2014 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2017 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2017 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2024 | 4 |
About Eli Levy Karin
Eli Levy Karin is a scholar working on Molecular Biology, Genetics, Ecology, Ecology, Evolution, Behavior and Systematics and Artificial Intelligence, having authored 23 papers that have together received 719 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (5 papers), Genetic diversity and population structure (4 papers), Plant and animal studies (3 papers), Algorithms and Data Compression (3 papers), Machine Learning in Bioinformatics (3 papers), Gene expression and cancer classification (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Ecology (219 citations), Molecular Biology (421 citations), Paleontology (25 citations), Genetics (88 citations) and Microbiology (18 citations). Eli Levy Karin has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Milot Mirdita, Johannes Söding, Martin Steinegger, Tal Pupko, Florian P. Breitwieser, Haim Ashkenazy, Itay Mayrose, Clovis Galiez, Susann Wicke and Sergey Ovchinnikov. Their work appears in journals such as Systematic Biology, Nucleic Acids Research, Genome Biology and Evolution, Bioinformatics and Nature Methods.
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.