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
- vaccines and immunoinformatics approaches
- Bioinformatics and Genomic Networks
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Machine Learning in Bioinformatics 6
- Biochemical and Structural Characterization 3
- Protein Structure and Dynamics 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Michal Linial (16 shared papers)Nadav Brandes (3 shared papers)Nadav Rappoport (5 shared papers)Noa Dagan (1 shared paper)Lior Rokach (1 shared paper)Dafna Shahaf (1 shared paper)Tali Sahar (1 shared paper)Adi Shraibman (1 shared paper)
- Journals
- Bioinformatics (3 papers)Toxins (2 papers)Computational and Structural Biotechnology Journal (1 paper)Frontiers in Molecular Biosciences (1 paper)Journal of Personalized Medicine (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Dan Ofer
16 papers receiving 971 citations
Dan Ofer's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 690
- Microbiology 51
- Health Informatics 9
- Computational Theory and Mathematics 102
- 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 14 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 | 518 |
| 2 | The language of proteins: NLP, machine learning & protein sequences Hit paper breakdown → | 2021 | 234 |
| 3 | 2015 | 71 | |
| 4 | 2013 | 35 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2016 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2014 | 13 | |
| 10 | 2013 | 13 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2015 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 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 19 papers that have together received 983 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Biochemical and Structural Characterization (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Antimicrobial Peptides and Activities (2 papers), Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Endometriosis Research and Treatment (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Molecular Biology (690 citations), Microbiology (51 citations), Health Informatics (9 citations), Computational Theory and Mathematics (102 citations) and Artificial Intelligence (95 citations). Dan Ofer has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Michal Linial, Nadav Brandes, Nadav Rappoport, Noa Dagan, Lior Rokach, Dafna Shahaf, Tali Sahar, Adi Shraibman, Niv Cohen and Yedid Hoshen. Their work appears in journals such as Bioinformatics, Toxins, Computational and Structural Biotechnology Journal, Frontiers in Molecular Biosciences and Journal of Personalized Medicine.
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.