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 8
- Microbial Metabolic Engineering and Bioproduction 5
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Metabolomics and Mass Spectrometry Studies 2
- Protein Structure and Dynamics 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)Gil Ast (2 shared papers)Galit Lev-Maor (2 shared papers)Ze’ev Melamed (2 shared papers)Reut Ashwal-Fluss (1 shared paper)
- Journals
- Journal of Computational Biology (2 papers)Bioinformatics (1 paper)Science Signaling (1 paper)Current Opinion in Genetics & Development (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Nir Atias
14 papers receiving 623 citations
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 269
- Toxicology 31
- Pharmacology 77
- Molecular Biology 509
- Cancer Research 92
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 | 162 | |
| 2 | 2011 | 102 | |
| 3 | 2013 | 81 | |
| 4 | 2016 | 70 | |
| 5 | 2016 | 50 | |
| 6 | 2011 | 42 | |
| 7 | 2014 | 32 | |
| 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 630 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Computational Drug Discovery Methods (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (269 citations), Toxicology (31 citations), Pharmacology (77 citations), Molecular Biology (509 citations) and Cancer Research (92 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, Gil Ast, Galit Lev-Maor, Ze’ev Melamed, Reut Ashwal-Fluss, Asaf Levy and Shlomit Gilad. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, Science Signaling, Current Opinion in Genetics & Development 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.