Ifat Keydar
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
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- Biochemical Analysis and Sensing Techniques
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 1
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Gil Ast (2 shared papers)Ronna Shayevitch (2 shared papers)Daniel H. Wreschner (3 shared papers)Tsviya Olender (4 shared papers)Doron Lancet (4 shared papers)Joseph Z. Zaretsky (2 shared papers)Diego Restrepo (2 shared papers)Hiroaki Matsunami (2 shared papers)
- Journals
- Nature Communications (2 papers)Gene (1 paper)Biochemical and Biophysical Research Communications (1 paper)PLoS Computational Biology (1 paper)BMC Genomics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Ifat Keydar
10 papers receiving 473 citations
Peers
Comparison fields: 5 of 80
- Sensory Systems 97
- Nutrition and Dietetics 71
- Molecular Biology 275
- Immunology 71
- Genetics 75
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 | 109 | |
| 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 | 21 | |
| 9 | 2018 | 9 | |
| 10 | 2013 | 6 |
About Ifat Keydar
Ifat Keydar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Sensory Systems, Genetics and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 483 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Epigenetics and DNA Methylation (2 papers), Olfactory and Sensory Function Studies (2 papers), RNA modifications and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Gene expression and cancer classification (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Sensory Systems (97 citations), Nutrition and Dietetics (71 citations), Molecular Biology (275 citations), Immunology (71 citations) and Genetics (75 citations). Ifat Keydar has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Gil Ast, Ronna Shayevitch, Daniel H. Wreschner, Tsviya Olender, Doron Lancet, Joseph Z. Zaretsky, Diego Restrepo, Hiroaki Matsunami, Yoav Gilad and Ming‐Shan Chien. Their work appears in journals such as Nature Communications, Gene, Biochemical and Biophysical Research Communications, PLoS Computational Biology and BMC Genomics.
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.