Iris Bahir
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 4
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 4
- Gene expression and cancer classification 3
- Biomedical Text Mining and Ontologies 1
- Gene Regulatory Network Analysis 1
- Ecology 1
- Co-authors
- Tsippi Iny Stein (5 shared papers)Noam Nativ (5 shared papers)Marilyn Safran (5 shared papers)Doron Lancet (5 shared papers)Naomi Rosen (3 shared papers)Tsviya Olender (2 shared papers)Michael Shmoish (1 shared paper)Alexandra Sirota‐Madi (1 shared paper)
- Journals
- Database (2 papers)Human Genomics (1 paper)Journal of Pain Research (1 paper)Molecular Systems Biology (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- IsraelUnited StatesAustria
In The Last Decade
Iris Bahir
9 papers receiving 2.2k citations
Iris Bahir's Hit Papers
Peers
Comparison fields: 5 of 122
- Pharmacology 150
- Cancer Research 236
- Molecular Biology 1.1k
- Complementary and alternative medicine 102
- Computational Theory and Mathematics 168
Countries citing papers authored by Iris Bahir
This map shows the geographic impact of Iris Bahir'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 Iris Bahir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Bahir more than expected).
Fields of papers citing papers by Iris Bahir
This network shows the impact of papers produced by Iris Bahir. 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 Iris Bahir. The network helps show where Iris Bahir may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Bahir, 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 | GeneCards Version 3: the human gene integrator Hit paper breakdown → | 2010 | 1507 |
| 2 | 2013 | 219 | |
| 3 | 2009 | 198 | |
| 4 | 2011 | 176 | |
| 5 | 2014 | 76 | |
| 6 | 2012 | 38 | |
| 7 | 2005 | 8 | |
| 8 | 2006 | 5 | |
| 9 | 2021 | 3 |
About Iris Bahir
Iris Bahir is a scholar working on Molecular Biology, Ecology, Spectroscopy, Materials Chemistry and Infectious Diseases, having authored 9 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (4 papers), Gene expression and cancer classification (3 papers), Advanced Proteomics Techniques and Applications (1 paper), Biomedical Text Mining and Ontologies (1 paper), Gene Regulatory Network Analysis (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Pharmacology (150 citations), Cancer Research (236 citations), Molecular Biology (1.1k citations), Complementary and alternative medicine (102 citations) and Computational Theory and Mathematics (168 citations). Iris Bahir has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Tsippi Iny Stein, Noam Nativ, Marilyn Safran, Doron Lancet, Naomi Rosen, Tsviya Olender, Michael Shmoish, Alexandra Sirota‐Madi, Jake M. Alexander and Tirza Doniger. Their work appears in journals such as Database, Human Genomics, Journal of Pain Research, Molecular Systems Biology and Proteins Structure Function and 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.