Sagi Snir
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Paleontology top 5%
- Evolution and Paleontology Studies
Papers in
-
- Genomics and Phylogenetic Studies 48
- RNA and protein synthesis mechanisms 10
- Epigenetics and DNA Methylation 9
- Genetics 49
- Genetic diversity and population structure 23
- Genome Rearrangement Algorithms 11
- Co-authors
- Yuri I. Wolf (5 shared papers)Eugene V. Koonin (5 shared papers)Satish Rao (4 shared papers)Kira S. Makarova (1 shared paper)Tamir Tuller (7 shared papers)Guohua Jin (6 shared papers)Luay Nakhleh (6 shared papers)Shlomo Moran (6 shared papers)
- Journals
- Journal of Computational Biology (7 papers)Bioinformatics (5 papers)Molecular Phylogenetics and Evolution (5 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (4 papers)BMC Genomics (4 papers)
- Partner nations
- IsraelUnited StatesRussia
In The Last Decade
Sagi Snir
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Genetics 614
- Paleontology 155
- Molecular Biology 1.0k
- Ecology 366
- Endocrinology 63
Countries citing papers authored by Sagi Snir
This map shows the geographic impact of Sagi Snir'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 Sagi Snir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagi Snir more than expected).
Fields of papers citing papers by Sagi Snir
This network shows the impact of papers produced by Sagi Snir. 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 Sagi Snir. The network helps show where Sagi Snir may publish in the future.
Co-authors
The 25 scholars most cited alongside Sagi Snir, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 324 | |
| 2 | 2006 | 83 | |
| 3 | 2011 | 67 | |
| 4 | 2008 | 59 | |
| 5 | 2006 | 55 | |
| 6 | 2012 | 42 | |
| 7 | 2019 | 42 | |
| 8 | 2015 | 40 | |
| 9 | 2005 | 36 | |
| 10 | 2014 | 36 | |
| 11 | 2007 | 35 | |
| 12 | 2012 | 32 | |
| 13 | 2007 | 32 | |
| 14 | 2006 | 31 | |
| 15 | 2022 | 29 | |
| 16 | 2007 | 27 | |
| 17 | 2013 | 23 | |
| 18 | 2007 | 23 | |
| 19 | 2008 | 22 | |
| 20 | 2013 | 21 |
About Sagi Snir
Sagi Snir is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Paleontology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (48 papers), Genetic diversity and population structure (23 papers), Chromosomal and Genetic Variations (12 papers), Genome Rearrangement Algorithms (11 papers), RNA and protein synthesis mechanisms (10 papers), Algorithms and Data Compression (10 papers), Epigenetics and DNA Methylation (9 papers) and Evolution and Paleontology Studies (7 papers). The work is most often cited by research in Genetics (614 citations), Paleontology (155 citations), Molecular Biology (1.0k citations), Ecology (366 citations) and Endocrinology (63 citations). Sagi Snir has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Yuri I. Wolf, Eugene V. Koonin, Satish Rao, Kira S. Makarova, Tamir Tuller, Guohua Jin, Luay Nakhleh, Shlomo Moran, Matteo Pellegrini and Benny Chor. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, Molecular Phylogenetics and Evolution, IEEE/ACM Transactions on Computational Biology and Bioinformatics and BMC Genomics.
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.