Iris Keren
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
- Genetics 7
- Bacterial Genetics and Biotechnology 7
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- Bacterial biofilms and quorum sensing 4
- Lipid Membrane Structure and Behavior 1
- Co-authors
- Kim Lewis (6 shared papers)Amy L. Spoering (2 shared papers)Niilo Kaldalu (2 shared papers)Kim Lewis (2 shared papers)Yanxia Wu (2 shared papers)Lawrence Mulcahy (2 shared papers)Julio Inocencio (1 shared paper)Eric J. Rubin (1 shared paper)
- Journals
- Journal of Bacteriology (1 paper)Science (1 paper)Cell Host & Microbe (1 paper)mBio (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesIsraelEstonia
In The Last Decade
Iris Keren
11 papers receiving 2.8k citations
Iris Keren's Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Medicine 937
- Endocrinology 482
- Infectious Diseases 746
- Genetics 1.0k
- Microbiology 207
Countries citing papers authored by Iris Keren
This map shows the geographic impact of Iris Keren'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 Keren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Keren more than expected).
Fields of papers citing papers by Iris Keren
This network shows the impact of papers produced by Iris Keren. 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 Keren. The network helps show where Iris Keren may publish in the future.
Co-authors
The 24 scholars most cited alongside Iris Keren, 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 | Persister cells and tolerance to antimicrobials Hit paper breakdown → | 2003 | 825 |
| 2 | Specialized Persister Cells and the Mechanism of Multidrug Tolerance in Escherichia coli Hit paper breakdown → | 2004 | 672 |
| 3 | 2013 | 409 | |
| 4 | 2011 | 292 | |
| 5 | 2012 | 216 | |
| 6 | 2012 | 209 | |
| 7 | 2016 | 109 | |
| 8 | 2000 | 25 | |
| 9 | 2012 | 23 | |
| 10 | 2015 | 22 | |
| 11 | 2014 | 19 |
About Iris Keren
Iris Keren is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Infectious Diseases and Epidemiology, having authored 11 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial biofilms and quorum sensing (4 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Phagocytosis and Immune Regulation (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Molecular Medicine (937 citations), Endocrinology (482 citations), Infectious Diseases (746 citations), Genetics (1.0k citations) and Microbiology (207 citations). Iris Keren has collaborated with scholars based in United States, Israel and Estonia. Frequent co-authors include Kim Lewis, Amy L. Spoering, Niilo Kaldalu, Kim Lewis, Yanxia Wu, Lawrence Mulcahy, Julio Inocencio, Eric J. Rubin, Shoko Minami and Marin Vulić. Their work appears in journals such as Journal of Bacteriology, Science, Cell Host & Microbe, mBio and Antimicrobial Agents and Chemotherapy.
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.