Nir Atias
Impact in
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- Computational Drug Discovery Methods
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
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- Computational Drug Discovery Methods 4
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- Bioinformatics and Genomic Networks 8
- Gene Regulatory Network Analysis 1
- Fungal and yeast genetics research 1
- RNA Research and Splicing 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Roded Sharan (14 shared papers)Eytan Ruppin (3 shared papers)Assaf Gottlieb (1 shared paper)Matthew Oberhardt (1 shared paper)Shlomit Gilad (1 shared paper)Ze’ev Melamed (1 shared paper)Carmit Levy (1 shared paper)Reut Ashwal-Fluss (1 shared paper)
- Journals
- Journal of Computational Biology (2 papers)Molecular BioSystems (1 paper)Nucleic Acids Research (1 paper)Molecular Cell (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Nir Atias
15 papers receiving 725 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 284
- Toxicology 40
- Molecular Biology 281
- Cancer Research 47
- Cell Biology 38
Countries citing papers authored by Nir Atias
This map shows the geographic impact of Nir Atias'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 Nir Atias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Atias more than expected).
Fields of papers citing papers by Nir Atias
This network shows the impact of papers produced by Nir Atias. 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 Nir Atias. The network helps show where Nir Atias may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Atias, 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 | 2011 | 179 | |
| 2 | 2011 | 111 | |
| 3 | 2013 | 84 | |
| 4 | 2016 | 79 | |
| 5 | 2020 | 76 | |
| 6 | 2011 | 48 | |
| 7 | 2012 | 33 | |
| 8 | 2014 | 32 | |
| 9 | 2015 | 17 | |
| 10 | 2010 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 14 | |
| 13 | 2013 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2014 | 9 |
About Nir Atias
Nir Atias is a scholar working on Computational Theory and Mathematics, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Physiology, having authored 15 papers that have together received 733 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (4 papers), Gene Regulatory Network Analysis (1 paper), Fungal and yeast genetics research (1 paper), RNA Research and Splicing (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Alzheimer's disease research and treatments (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Computational Theory and Mathematics (284 citations), Toxicology (40 citations), Molecular Biology (281 citations), Cancer Research (47 citations) and Cell Biology (38 citations). Nir Atias has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Roded Sharan, Eytan Ruppin, Assaf Gottlieb, Matthew Oberhardt, Shlomit Gilad, Ze’ev Melamed, Carmit Levy, Reut Ashwal-Fluss, Sebastián Kadener and Galit Lev-Maor. Their work appears in journals such as Journal of Computational Biology, Molecular BioSystems, Nucleic Acids Research, Molecular Cell and BMC 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.