Rafaël Najmanovich
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 14
- Molecular Biology top 5%
- Protein Structure and Dynamics 28
- RNA and protein synthesis mechanisms 8
- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 5
- RNA modifications and cancer 4
- Pharmacology top 5%
- Materials Chemistry top 10%
- Enzyme Structure and Function 12
- Infectious Diseases top 10%
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Matthieu ChartierJanet M. ThorntonVincent FrappierMarvin EdelmanV. M. SobolevRichard J. MorrisMichele VendruscoloEytan Domany
- Journals
- Bioinformatics (11 papers)Journal of Chemical Information and Modeling (4 papers)Proteins Structure Function and Bioinformatics (4 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Rafaël Najmanovich
57 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 634
- Molecular Biology 1.8k
- Pharmacology 113
- Materials Chemistry 491
- Infectious Diseases 179
Countries citing papers authored by Rafaël Najmanovich
This map shows the geographic impact of Rafaël Najmanovich'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 Rafaël Najmanovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafaël Najmanovich more than expected).
Fields of papers citing papers by Rafaël Najmanovich
This network shows the impact of papers produced by Rafaël Najmanovich. 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 Rafaël Najmanovich. The network helps show where Rafaël Najmanovich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafaël Najmanovich, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 72 | |
| 10 | 2021 | 3 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 28 | |
| 14 | 2017 | 17 | |
| 15 | 2017 | 41 | |
| 16 | 2013 | 15 | |
| 17 | 2009 | 18 | |
| 18 | 2009 | 41 | |
| 19 | 2007 | 178 | |
| 20 | 2004 | 109 |
About Rafaël Najmanovich
Rafaël Najmanovich is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Materials Chemistry and Infectious Diseases, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (28 papers), Computational Drug Discovery Methods (14 papers), Enzyme Structure and Function (12 papers), RNA and protein synthesis mechanisms (8 papers), Bioinformatics and Genomic Networks (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Computational Theory and Mathematics (634 citations), Molecular Biology (1.8k citations), Pharmacology (113 citations), Materials Chemistry (491 citations) and Infectious Diseases (179 citations). Rafaël Najmanovich has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Matthieu Chartier, Janet M. Thornton, Vincent Frappier, Marvin Edelman, V. M. Sobolev, Richard J. Morris, Michele Vendruscolo, Eytan Domany, Louis–Philippe Morency and Francis Gaudreault. Their work appears in journals such as Bioinformatics, Journal of Chemical Information and Modeling, Proteins Structure Function and Bioinformatics, PLoS Computational Biology and Scientific Reports.
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.