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
Papers in
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- RNA and protein synthesis mechanisms 3
- Fungal and yeast genetics research 3
- Protein Structure and Dynamics 2
- Genetics 2
- Digestive system and related health 1
- Diabetes and associated disorders 1
- Co-authors
- Ora Schueler‐Furman (5 shared papers)Chen Keasar (2 shared papers)Nir Kalisman (2 shared papers)Raphael Lamed (3 shared papers)Michal Slutzki (3 shared papers)Yoav Barak (3 shared papers)Edward A. Bayer (3 shared papers)Zohar Barnett‐Itzhaki (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Trends in Genetics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Computer applications in the biosciences (1 paper)
- Partner nations
- IsraelUnited Kingdom
In The Last Decade
Dan Reshef
12 papers receiving 120 citations
Peers
Comparison fields: 5 of 48
- Biotechnology 14
- Molecular Biology 74
- Oncology 17
- Computational Theory and Mathematics 10
- Plant Science 17
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 25 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 | 14 | |
| 5 | 2008 | 12 | |
| 6 | 2011 | 9 | |
| 7 | 1988 | 8 | |
| 8 | 2010 | 8 | |
| 9 | 2012 | 6 | |
| 10 | 2022 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 |
About Dan Reshef
Dan Reshef is a scholar working on Molecular Biology, Genetics, Plant Science, Surgery and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 121 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Fungal and yeast genetics research (3 papers), Protein Structure and Dynamics (2 papers), Pneumothorax, Barotrauma, Emphysema (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Digestive system and related health (1 paper), Diabetes and associated disorders (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Biotechnology (14 citations), Molecular Biology (74 citations), Oncology (17 citations), Computational Theory and Mathematics (10 citations) and Plant Science (17 citations). Dan Reshef has collaborated with scholars based in Israel and United Kingdom. Frequent co-authors include Ora Schueler‐Furman, Chen Keasar, Nir Kalisman, Raphael Lamed, Michal Slutzki, Yoav Barak, Edward A. Bayer, Zohar Barnett‐Itzhaki, Ariella Oppenheim and Orly Ben-nun-Shaul. Their work appears in journals such as Frontiers in Immunology, Methods in enzymology on CD-ROM/Methods in enzymology, Trends in Genetics, Proteins Structure Function and Bioinformatics 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.