Dan Ofer
Impact in
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- vaccines and immunoinformatics approaches
Papers in
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- Machine Learning in Bioinformatics 7
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 2
- Biochemical and Structural Characterization 2
- Biomedical Text Mining and Ontologies 2
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- Neuropeptides and Animal Physiology 2
- Co-authors
- Michal Linial (15 shared papers)Nadav Brandes (3 shared papers)Nadav Rappoport (4 shared papers)Noa Dagan (1 shared paper)Lior Rokach (1 shared paper)Adi Shraibman (1 shared paper)Dafna Shahaf (1 shared paper)Tali Sahar (1 shared paper)
- Journals
- Bioinformatics (3 papers)Toxins (2 papers)Journal of Personalized Medicine (1 paper)Frontiers in Molecular Biosciences (1 paper)Computational and Structural Biotechnology Journal (1 paper)
- Partner nations
- IsraelCanadaUnited States
In The Last Decade
Dan Ofer
15 papers receiving 865 citations
Dan Ofer's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 697
- Health Informatics 11
- Microbiology 48
- Computational Theory and Mathematics 110
- Artificial Intelligence 95
Countries citing papers authored by Dan Ofer
This map shows the geographic impact of Dan Ofer'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 Ofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ofer more than expected).
Fields of papers citing papers by Dan Ofer
This network shows the impact of papers produced by Dan Ofer. 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 Ofer. The network helps show where Dan Ofer may publish in the future.
Co-authors
The 10 scholars most cited alongside Dan Ofer, 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 | ProteinBERT: a universal deep-learning model of protein sequence and function Hit paper breakdown → | 2022 | 451 |
| 2 | The language of proteins: NLP, machine learning & protein sequences Hit paper breakdown → | 2021 | 217 |
| 3 | 2015 | 63 | |
| 4 | 2013 | 34 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2016 | 16 | |
| 8 | 2014 | 12 | |
| 9 | 2013 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2015 | 0 |
About Dan Ofer
Dan Ofer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Artificial Intelligence and Spectroscopy, having authored 17 papers that have together received 881 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Neuropeptides and Animal Physiology (2 papers), Protein Structure and Dynamics (2 papers), Biochemical and Structural Characterization (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (697 citations), Health Informatics (11 citations), Microbiology (48 citations), Computational Theory and Mathematics (110 citations) and Artificial Intelligence (95 citations). Dan Ofer has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Michal Linial, Nadav Brandes, Nadav Rappoport, Noa Dagan, Lior Rokach, Adi Shraibman, Dafna Shahaf, Tali Sahar, Niv Cohen and Yedid Hoshen. Their work appears in journals such as Bioinformatics, Toxins, Journal of Personalized Medicine, Frontiers in Molecular Biosciences and Computational and Structural Biotechnology Journal.
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.