Chen Keasar
Impact in
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Nutrition and Dietetics top 10%
- Trace Elements in Health
Papers in ⓘ
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- Protein Structure and Dynamics 17
- Machine Learning in Bioinformatics 8
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 2
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- Enzyme Structure and Function 9
- Machine Learning in Materials Science 2
- Co-authors
- Michael Levitt (2 shared papers)Ron Elber (4 shared papers)Israel Sekler (1 shared paper)Ehud Ohana (1 shared paper)Taiho Kambe (1 shared paper)Eitan Hoch (1 shared paper)Ofer Yifrach (1 shared paper)Michal Hershfinkel (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (4 papers)Bioinformatics (3 papers)Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Computer applications in the biosciences (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Chen Keasar
30 papers receiving 857 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 600
- Nutrition and Dietetics 129
- Health, Toxicology and Mutagenesis 64
- Computational Theory and Mathematics 72
- Spectroscopy 70
Countries citing papers authored by Chen Keasar
This map shows the geographic impact of Chen Keasar'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 Chen Keasar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Keasar more than expected).
Fields of papers citing papers by Chen Keasar
This network shows the impact of papers produced by Chen Keasar. 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 Chen Keasar. The network helps show where Chen Keasar may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Keasar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 139 | |
| 2 | 2009 | 138 | |
| 3 | 2003 | 77 | |
| 4 | 2012 | 63 | |
| 5 | 2013 | 59 | |
| 6 | 2004 | 44 | |
| 7 | 2004 | 39 | |
| 8 | 2021 | 30 | |
| 9 | 2005 | 30 | |
| 10 | 2008 | 28 | |
| 11 | 2009 | 28 | |
| 12 | 2017 | 27 | |
| 13 | 2016 | 24 | |
| 14 | 2021 | 19 | |
| 15 | 1997 | 15 | |
| 16 | 2006 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 1998 | 11 | |
| 19 | 1995 | 11 | |
| 20 | 2014 | 11 |
About Chen Keasar
Chen Keasar is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computational Theory and Mathematics and Immunology, having authored 31 papers that have together received 867 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (9 papers), Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Computational Drug Discovery Methods (4 papers), Genomics and Phylogenetic Studies (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Molecular Biology (600 citations), Nutrition and Dietetics (129 citations), Health, Toxicology and Mutagenesis (64 citations), Computational Theory and Mathematics (72 citations) and Spectroscopy (70 citations). Chen Keasar has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Michael Levitt, Ron Elber, Israel Sekler, Ehud Ohana, Taiho Kambe, Eitan Hoch, Ofer Yifrach, Michal Hershfinkel, El-ad David Amir and Nir Kalisman. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Computer applications in the biosciences.
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.