Ruth Barshir
Impact in
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- Cancer Genomics and Diagnostics
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
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- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 3
- RNA modifications and cancer 2
- Genetics 6
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Esti Yeger‐Lotem (6 shared papers)Ilan Smoly (3 shared papers)Omer Basha (3 shared papers)Ruth Hershberg (1 shared paper)James DeGregori (1 shared paper)Marilyn Safran (4 shared papers)Yaron Mazor (2 shared papers)Doron Lancet (4 shared papers)
- Journals
- Nucleic Acids Research (3 papers)PLoS Genetics (2 papers)JAMA Network Open (1 paper)PLoS Computational Biology (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Ruth Barshir
10 papers receiving 373 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 104
- Molecular Biology 285
- Genetics 101
- Aging 6
- Computational Theory and Mathematics 31
Countries citing papers authored by Ruth Barshir
This map shows the geographic impact of Ruth Barshir'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 Ruth Barshir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Barshir more than expected).
Fields of papers citing papers by Ruth Barshir
This network shows the impact of papers produced by Ruth Barshir. 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 Ruth Barshir. The network helps show where Ruth Barshir may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruth Barshir, 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 | 2014 | 72 | |
| 2 | 2021 | 67 | |
| 3 | 2014 | 54 | |
| 4 | 2012 | 49 | |
| 5 | 2016 | 46 | |
| 6 | 2019 | 33 | |
| 7 | 2015 | 29 | |
| 8 | 2018 | 21 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 0 |
About Ruth Barshir
Ruth Barshir is a scholar working on Molecular Biology, Genetics, Cancer Research, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 11 papers that have together received 375 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (3 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Genetic Associations and Epidemiology (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cancer Research (104 citations), Molecular Biology (285 citations), Genetics (101 citations), Aging (6 citations) and Computational Theory and Mathematics (31 citations). Ruth Barshir has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Esti Yeger‐Lotem, Ilan Smoly, Omer Basha, Ruth Hershberg, James DeGregori, Marilyn Safran, Yaron Mazor, Doron Lancet, Simon Fishilevich and Michal Sharon. Their work appears in journals such as Nucleic Acids Research, PLoS Genetics, JAMA Network Open, PLoS Computational Biology and Molecular Genetics and Metabolism.
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.