Roded Sharan
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods 20
- Molecular Biology top 0.2%
- Bioinformatics and Genomic Networks 107
- Gene expression and cancer classification 54
- Microbial Metabolic Engineering and Bioproduction 41
- Gene Regulatory Network Analysis 34
- Genomics and Chromatin Dynamics 26
- Fungal and yeast genetics research 20
- Protein Structure and Dynamics 14
- Aging top 1%
- Cancer Research top 2%
- Genetics top 2%
Roded Sharan
208 papers receiving 13.7k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Computational Theory and Mathematics 3.0k
- Molecular Biology 11.3k
- Aging 182
- Cancer Research 952
- Genetics 1.1k
Countries citing papers authored by Roded Sharan
This map shows the geographic impact of Roded Sharan'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 Roded Sharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roded Sharan more than expected).
Fields of papers citing papers by Roded Sharan
This network shows the impact of papers produced by Roded Sharan. 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 Roded Sharan. The network helps show where Roded Sharan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roded Sharan, 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 46 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 101 | |
| 11 | BeWith: A Between-Within Method for Module Discovery in Cancer using Integrated Analysis of Mutual Exclusivity, Co-occurrence and Functional Interactions (Extended Abstract). | 2017 | 1 |
| 12 | 2017 | 28 | |
| 13 | 2013 | 10 | |
| 14 | 2011 | 15 | |
| 15 | 2011 | 102 | |
| 16 | 2010 | 17 | |
| 17 | 2009 | 12 | |
| 18 | A set-cover-based approach for inexact graph matching | 2009 | 3 |
| 19 | A Propagation-based Algorithm for Inferring Gene-Disease Assocations. | 2008 | 20 |
| 20 | Conserved patterns of protein interaction in multiple speciesbreakdown → | 2005 | 507 |
About Roded Sharan
Roded Sharan is a scholar working on Molecular Biology, Aging and Computational Theory and Mathematics, having authored 214 papers that have together received 14.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (107 papers), Gene expression and cancer classification (54 papers), Microbial Metabolic Engineering and Bioproduction (41 papers), Gene Regulatory Network Analysis (34 papers), Genomics and Chromatin Dynamics (26 papers), Computational Drug Discovery Methods (20 papers), Fungal and yeast genetics research (20 papers) and Protein Structure and Dynamics (14 papers). The work is most often cited by research in Computational Theory and Mathematics (3.0k citations), Molecular Biology (11.3k citations) and Aging (182 citations). Roded Sharan has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ron Shamir, Trey Ideker, Eytan Ruppin, Tomer Shlomi, Amos Tanay, Igor Ulitsky, Assaf Gottlieb, Richard M. Karp, Gideon Y. Stein and Martin Kupiec. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, PLoS Computational Biology, Nucleic Acids Research and Molecular Systems Biology.
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.