Nir Atias
Impact in
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- Computational Drug Discovery Methods
- Toxicology top 10%
Papers in
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- Bioinformatics and Genomic Networks 7
- Microbial Metabolic Engineering and Bioproduction 3
- Protein Structure and Dynamics 2
- Genomics and Chromatin Dynamics 2
- Metabolomics and Mass Spectrometry Studies 2
- Gene Regulatory Network Analysis 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Roded Sharan (14 shared papers)Eytan Ruppin (3 shared papers)Assaf Gottlieb (1 shared paper)Matthew Oberhardt (1 shared paper)Ze’ev Melamed (2 shared papers)Gil Ast (2 shared papers)Galit Lev-Maor (2 shared papers)Shlomit Gilad (1 shared paper)
- Journals
- Journal of Computational Biology (2 papers)Molecular Cell (1 paper)BMC Bioinformatics (1 paper)Journal of Cell Science (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Nir Atias
14 papers receiving 633 citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 246
- Toxicology 29
- Pharmacology 61
- Molecular Biology 454
- Cancer Research 87
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 | 166 | |
| 2 | 2011 | 104 | |
| 3 | 2013 | 82 | |
| 4 | 2016 | 72 | |
| 5 | 2016 | 50 | |
| 6 | 2011 | 42 | |
| 7 | 2014 | 33 | |
| 8 | 2012 | 26 | |
| 9 | 2015 | 16 | |
| 10 | 2013 | 15 | |
| 11 | 2013 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2013 | 6 |
About Nir Atias
Nir Atias is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Surgery and Epidemiology, having authored 14 papers that have together received 640 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Protein Structure and Dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (246 citations), Toxicology (29 citations), Pharmacology (61 citations), Molecular Biology (454 citations) and Cancer Research (87 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, Ze’ev Melamed, Gil Ast, Galit Lev-Maor, Shlomit Gilad, Reut Ashwal-Fluss and Martin Kupiec. Their work appears in journals such as Journal of Computational Biology, Molecular Cell, BMC Bioinformatics, Journal of Cell Science and G3 Genes Genomes Genetics.
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.