Dan Reshef
Impact in
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- Enzyme Production and Characterization
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 3
- Fungal and yeast genetics research 3
- Protein Structure and Dynamics 2
- Signaling Pathways in Disease 1
- Biochemical and Structural Characterization 1
- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Ora Schueler‐Furman (5 shared papers)Michal Slutzki (3 shared papers)Nir Kalisman (2 shared papers)Raphael Lamed (3 shared papers)Chen Keasar (2 shared papers)Yoav Barak (3 shared papers)Edward A. Bayer (3 shared papers)Orly Ben-nun-Shaul (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Journal of Biological Chemistry (1 paper)Journal of Molecular Biology (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Trends in Genetics (1 paper)
- Partner nations
- IsraelUnited Kingdom
In The Last Decade
Dan Reshef
10 papers receiving 108 citations
Peers
Comparison fields: 5 of 41
- Biotechnology 14
- Molecular Biology 76
- Computational Theory and Mathematics 11
- Oncology 17
- Materials Chemistry 22
Countries citing papers authored by Dan Reshef
This map shows the geographic impact of Dan Reshef'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 Dan Reshef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Reshef more than expected).
Fields of papers citing papers by Dan Reshef
This network shows the impact of papers produced by Dan Reshef. 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 Dan Reshef. The network helps show where Dan Reshef may publish in the future.
Co-authors
The 22 scholars most cited alongside Dan Reshef, 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 | 2005 | 30 | |
| 2 | 2015 | 16 | |
| 3 | 2012 | 14 | |
| 4 | 2008 | 13 | |
| 5 | 2008 | 12 | |
| 6 | 2011 | 8 | |
| 7 | 2010 | 7 | |
| 8 | 2012 | 6 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 1 |
About Dan Reshef
Dan Reshef is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Plant Science and Physiology, having authored 10 papers that have together received 109 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Fungal and yeast genetics research (3 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Signaling Pathways in Disease (1 paper), Biochemical and Structural Characterization (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biotechnology (14 citations), Molecular Biology (76 citations), Computational Theory and Mathematics (11 citations), Oncology (17 citations) and Materials Chemistry (22 citations). Dan Reshef has collaborated with scholars based in Israel and United Kingdom. Frequent co-authors include Ora Schueler‐Furman, Michal Slutzki, Nir Kalisman, Raphael Lamed, Chen Keasar, Yoav Barak, Edward A. Bayer, Orly Ben-nun-Shaul, Ariella Oppenheim and Zohar Barnett‐Itzhaki. Their work appears in journals such as Frontiers in Immunology, Journal of Biological Chemistry, Journal of Molecular Biology, Proteins Structure Function and Bioinformatics and Trends in Genetics.
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.