Jaak Vilo
- Cancer Research top 0.5%
- MicroRNA in disease regulation 5
- Molecular Biology top 0.5%
- Gene expression and cancer classification 32
- Bioinformatics and Genomic Networks 25
- Genomics and Chromatin Dynamics 13
- Gene Regulatory Network Analysis 9
- Epigenetics and DNA Methylation 7
- RNA modifications and cancer 7
- Aging top 2%
- Immunology top 2%
- Genetics top 1%
- Genetic Associations and Epidemiology 6
- Co-authors
- Tauno MetsaluHedi PetersonPriit AdlerT. V. ArakLiis KolbergIvan KuzminUku RaudvereJüri Reimand
- Partner nations
- EstoniaUnited KingdomGermany
In The Last Decade
Jaak Vilo
89 papers receiving 13.3k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Cancer Research 2.0k
- Molecular Biology 8.1k
- Aging 138
- Immunology 1.5k
- Genetics 1.7k
Countries citing papers authored by Jaak Vilo
This map shows the geographic impact of Jaak Vilo'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 Jaak Vilo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaak Vilo more than expected).
Fields of papers citing papers by Jaak Vilo
This network shows the impact of papers produced by Jaak Vilo. 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 Jaak Vilo. The network helps show where Jaak Vilo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaak Vilo, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 5 | |
| 5 | 2018 | 22 | |
| 6 | 2015 | 127 | |
| 7 | 2014 | 286 | |
| 8 | 2014 | 36 | |
| 9 | 2012 | 17 | |
| 10 | 2011 | 110 | |
| 11 | 2011 | 1 | |
| 12 | Information Retrieval of Word Form Variants in Spoken Language Corpora Using Generalized Edit Distance | 2010 | 1 |
| 13 | Strengthening the Estonian Language Technology | 2008 | 1 |
| 14 | g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experimentsbreakdown → | 2007 | 961 |
| 15 | 2004 | 94 | |
| 16 | 2003 | 67 | |
| 17 | 2001 | 55 | |
| 18 | Predicting gene regulatory elements from their expression data in the complete yeast genome. | 1998 | 2 |
| 19 | 1998 | 238 | |
| 20 | Finding transcription factor binding site combinations in the yeast genome. | 1997 | 8 |
About Jaak Vilo
Jaak Vilo is a scholar working on Molecular Biology, Cancer Research and Health Information Management, having authored 91 papers that have together received 13.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (32 papers), Bioinformatics and Genomic Networks (25 papers), Genomics and Chromatin Dynamics (13 papers), Gene Regulatory Network Analysis (9 papers), Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (7 papers), Genetic Associations and Epidemiology (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (8.1k citations) and Aging (138 citations). Jaak Vilo has collaborated with scholars based in Estonia, United Kingdom and Germany. Frequent co-authors include Tauno Metsalu, Hedi Peterson, Priit Adler, T. V. Arak, Liis Kolberg, Ivan Kuzmin, Uku Raudvere, Jüri Reimand, Alvis Brāzma and Raivo Kolde. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Genome biology, BMC Genomics and PLoS ONE.
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.