Ifat Keydar
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
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- Biochemical Analysis and Sensing Techniques
Papers in
-
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 2
- Glycosylation and Glycoproteins Research 2
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Gil Ast (2 shared papers)Daniel H. Wreschner (3 shared papers)Doron Lancet (4 shared papers)Tsviya Olender (4 shared papers)Joseph Z. Zaretsky (2 shared papers)Diego Restrepo (2 shared papers)Hiroaki Matsunami (2 shared papers)Yoav Gilad (2 shared papers)
- Journals
- Nature Communications (2 papers)Human Mutation (1 paper)Gene (1 paper)BMC Genomics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- IsraelUnited StatesMexico
In The Last Decade
Ifat Keydar
10 papers receiving 465 citations
Peers
Comparison fields: 5 of 84
- Sensory Systems 99
- Nutrition and Dietetics 80
- Molecular Biology 290
- Immunology 75
- Genetics 82
Countries citing papers authored by Ifat Keydar
This map shows the geographic impact of Ifat Keydar'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 Ifat Keydar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ifat Keydar more than expected).
Fields of papers citing papers by Ifat Keydar
This network shows the impact of papers produced by Ifat Keydar. 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 Ifat Keydar. The network helps show where Ifat Keydar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ifat Keydar, 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 | 2018 | 107 | |
| 2 | The breast cancer-associated MUC1 gene generates both a receptor and its cognate binding protein. | 1999 | 107 |
| 3 | 2016 | 85 | |
| 4 | 2010 | 47 | |
| 5 | 1990 | 40 | |
| 6 | 2012 | 35 | |
| 7 | 1990 | 24 | |
| 8 | 2021 | 18 | |
| 9 | 2018 | 7 | |
| 10 | 2013 | 6 |
About Ifat Keydar
Ifat Keydar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Sensory Systems, Nutrition and Dietetics and Genetics, having authored 10 papers that have together received 476 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Olfactory and Sensory Function Studies (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Sensory Systems (99 citations), Nutrition and Dietetics (80 citations), Molecular Biology (290 citations), Immunology (75 citations) and Genetics (82 citations). Ifat Keydar has collaborated with scholars based in Israel, United States and Mexico. Frequent co-authors include Gil Ast, Daniel H. Wreschner, Doron Lancet, Tsviya Olender, Joseph Z. Zaretsky, Diego Restrepo, Hiroaki Matsunami, Yoav Gilad, Jayant M. Pinto and Ming‐Shan Chien. Their work appears in journals such as Nature Communications, Human Mutation, Gene, BMC Genomics and PLoS Computational Biology.
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.