Roy Navon
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 5%
Papers in ⓘ
-
- Gene expression and cancer classification 5
- RNA Research and Splicing 3
- Bioinformatics and Genomic Networks 3
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 6
- Co-authors
- Zohar Yakhini (11 shared papers)Israel Steinfeld (8 shared papers)Eran Eden (8 shared papers)Doron Lipson (2 shared papers)Anya Tsalenko (2 shared papers)Hui Wang (1 shared paper)Amir Ben‐Dor (1 shared paper)Anne‐Lise Børresen‐Dale (2 shared papers)
- Journals
- PLoS ONE (5 papers)Open Forum Infectious Diseases (3 papers)BMC Bioinformatics (2 papers)Bioinformatics (2 papers)Molecular Oncology (1 paper)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Roy Navon
18 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 750
- Aging 80
- Molecular Biology 2.1k
- Genetics 409
- Immunology 305
Countries citing papers authored by Roy Navon
This map shows the geographic impact of Roy Navon'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 Roy Navon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Navon more than expected).
Fields of papers citing papers by Roy Navon
This network shows the impact of papers produced by Roy Navon. 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 Roy Navon. The network helps show where Roy Navon may publish in the future.
Co-authors
The 25 scholars most cited alongside Roy Navon, 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 | GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists Hit paper breakdown → | 2009 | 2429 |
| 2 | 2011 | 245 | |
| 3 | 2009 | 147 | |
| 4 | 2012 | 114 | |
| 5 | 2018 | 56 | |
| 6 | 2010 | 49 | |
| 7 | 2012 | 44 | |
| 8 | 2011 | 25 | |
| 9 | 2008 | 15 | |
| 10 | 2015 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2007 | 4 | |
| 14 | 2010 | 3 | |
| 15 | 2013 | 1 | |
| 16 | 1999 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2016 | 0 | |
| 20 | 2018 | 0 |
About Roy Navon
Roy Navon is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Clinical Biochemistry and Infectious Diseases, having authored 20 papers that have together received 3.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Gene expression and cancer classification (5 papers), Bacterial Identification and Susceptibility Testing (3 papers), RNA Research and Splicing (3 papers), Bioinformatics and Genomic Networks (3 papers), Pneumonia and Respiratory Infections (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Cancer Research (750 citations), Aging (80 citations), Molecular Biology (2.1k citations), Genetics (409 citations) and Immunology (305 citations). Roy Navon has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Zohar Yakhini, Israel Steinfeld, Eran Eden, Doron Lipson, Anya Tsalenko, Hui Wang, Amir Ben‐Dor, Anne‐Lise Børresen‐Dale, Espen Enerly and Merja Perälä. Their work appears in journals such as PLoS ONE, Open Forum Infectious Diseases, BMC Bioinformatics, Bioinformatics and Molecular Oncology.
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.