Nadav Rappoport
- Molecular Biology
- Immunology
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Genetics
- Co-authors
- Michal LinialDan OferNadav BrandesNathan LinialAriel Dora SternNoam BardaOfer N. GofritBrian L. Hill
- Topics
- Machine Learning in Bioinformatics (4 papers)Machine Learning in Healthcare (4 papers)Cardiac, Anesthesia and Surgical Outcomes (4 papers)
- Partner nations
- IsraelUnited StatesSouth Korea
In The Last Decade
Nadav Rappoport
34 papers receiving 828 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 505
- Immunology 110
- Computational Theory and Mathematics 80
- Artificial Intelligence 65
- Genetics 54
Countries citing papers authored by Nadav Rappoport
This map shows the geographic impact of Nadav Rappoport'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 Nadav Rappoport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadav Rappoport more than expected).
Fields of papers citing papers by Nadav Rappoport
This network shows the impact of papers produced by Nadav Rappoport. 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 Nadav Rappoport. The network helps show where Nadav Rappoport may publish in the future.
Co-authorship network of co-authors of Nadav Rappoport
This figure shows the co-authorship network connecting the top 25 collaborators of Nadav Rappoport. A scholar is included among the top collaborators of Nadav Rappoport based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadav Rappoport. Nadav Rappoport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 4 | |
| 8 | 37 | |
| 9 | 3 | |
| 10 | ProteinBERT: a universal deep-learning model of protein sequence and functionbreakdown → | 451 |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 44 | |
| 15 | 11 | |
| 16 | 24 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 27 |
About Nadav Rappoport
Nadav Rappoport is a scholar working on Health Informatics, Nephrology and Emergency Medical Services, having authored 36 papers that have together received 841 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Machine Learning in Healthcare (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). The work is most often cited by research in Health Informatics (27 citations), Molecular Biology (505 citations) and Immunology (110 citations). Nadav Rappoport has collaborated with scholars based in Israel, United States and South Korea. Frequent co-authors include Michal Linial, Dan Ofer, Nadav Brandes, Nathan Linial, Ariel Dora Stern, Noam Barda, Ofer N. Gofrit, Brian L. Hill, Hervé Bercovier and Atul J. Butte. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.