Jaak Vilo

28.5k total citations · 7 hit papers
91 papers, 13.4k citations indexed

About

Jaak Vilo is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Jaak Vilo has authored 91 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Artificial Intelligence. Recurrent topics in Jaak Vilo's work include Gene expression and cancer classification (32 papers), Bioinformatics and Genomic Networks (25 papers) and Genomics and Chromatin Dynamics (13 papers). Jaak Vilo is often cited by papers focused on Gene expression and cancer classification (32 papers), Bioinformatics and Genomic Networks (25 papers) and Genomics and Chromatin Dynamics (13 papers). Jaak Vilo collaborates with scholars based in Estonia, United Kingdom and Germany. Jaak Vilo's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Jaak Vilo

89 papers receiving 13.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update)

2019 3.2k citations Uku Raudvere, Liis Kolberg et al. Nucleic Acids Research profile →
ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap

2015 2.6k citations Tauno Metsalu, Jaak Vilo Nucleic Acids Research profile →
g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments

2007 961 citations Jüri Reimand, Meelis Kull et al. Nucleic Acids Research profile →
g:Profiler—a web server for functional interpretation of gene lists (2016 update)

2016 885 citations Jüri Reimand, Priit Adler et al. Nucleic Acids Research profile →
Robust rank aggregation for gene list integration and meta-analysis

2012 732 citations Raivo Kolde, Sven Laur et al. profile →
g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update)

2023 557 citations Liis Kolberg, Uku Raudvere et al. Nucleic Acids Research profile →
MethSurv: A Web Tool to Perform Multivariable Survival Analysis Using DNA Methylation Data

2017 416 citations Vijayachitra Modhukur, Tauno Metsalu et al. Epigenomics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jaak Vilo Estonia	36	8.1k	2.0k	1.7k	1.5k	1.2k	91	13.4k
Ron Edgar Israel	17	8.7k 1.1×	2.0k 1.0×	1.4k 0.8×	1.3k 0.9×	1.1k 0.9×	24	13.2k
Benjamin M. Bolstad United States	8	7.7k 0.9×	2.0k 1.0×	1.3k 0.8×	1.2k 0.8×	886 0.8×	10	11.5k
Huaiyu Mi United States	23	8.5k 1.1×	1.6k 0.8×	2.1k 1.2×	1.3k 0.9×	1.2k 1.0×	41	13.6k
Andrea Franceschini Switzerland	8	9.8k 1.2×	2.2k 1.1×	1.4k 0.8×	1.4k 0.9×	1.1k 0.9×	11	14.7k
Anushya Muruganujan United States	14	8.0k 1.0×	1.6k 0.8×	2.1k 1.2×	1.3k 0.9×	1.3k 1.1×	17	12.8k
Jeffrey T. Leek United States	39	10.0k 1.2×	2.5k 1.2×	2.5k 1.5×	1.4k 1.0×	1.7k 1.5×	82	16.1k
Cheng Li China	39	6.4k 0.8×	1.7k 0.9×	1.6k 1.0×	888 0.6×	1.5k 1.3×	206	11.8k
Alvis Brāzma United Kingdom	50	11.0k 1.4×	1.4k 0.7×	1.6k 1.0×	1.1k 0.7×	1.0k 0.9×	132	14.7k
Davide Heller Switzerland	5	7.7k 0.9×	1.4k 0.7×	1.2k 0.7×	1.0k 0.7×	1.6k 1.4×	6	12.3k

Countries citing papers authored by Jaak Vilo

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jaak Vilo

This figure shows the co-authorship network connecting the top 25 collaborators of Jaak Vilo. A scholar is included among the top collaborators of Jaak Vilo 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 Jaak Vilo. Jaak Vilo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oja, Marek, Kerli Mooses, Sulev Reisberg, et al.. (2024). Markov modeling for cost-effectiveness using federated health data network. Journal of the American Medical Informatics Association. 31(5). 1093–1101. 1 indexed citations

Oja, Marek, Kerli Mooses, Raivo Kolde, et al.. (2024). Repeatable process for extracting health data from HL7 CDA documents. Journal of Biomedical Informatics. 161. 104765–104765. 1 indexed citations

Uusküla, Anneli, Marek Oja, Made Laanpere, et al.. (2023). Prevaccination Prevalence of Type-Specific Human Papillomavirus Infection by Grade of Cervical Cytology in Estonia. JAMA Network Open. 6(2). e2254075–e2254075. 3 indexed citations

Kolberg, Liis, Uku Raudvere, Ivan Kuzmin, et al.. (2023). g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update). Nucleic Acids Research. 51(W1). W207–W212. 557 indexed citations breakdown →

Künnapuu, Kadri, Raivo Kolde, Sven Laur, et al.. (2022). Trajectories: a framework for detecting temporal clinical event sequences from health data standardized to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. JAMIA Open. 5(1). ooac021–ooac021. 6 indexed citations

Uusküla, Anneli, Ruth Kalda, Mihkel Solvak, et al.. (2022). The 1st year of the COVID-19 epidemic in Estonia: a population-based nationwide sequential/consecutive cross-sectional study. Public Health. 205. 150–156. 5 indexed citations

Krebs, Kristi, Mart Kals, Reedik Mägi, et al.. (2018). Genetic variation in the Estonian population: pharmacogenomics study of adverse drug effects using electronic health records. European Journal of Human Genetics. 27(3). 442–454. 22 indexed citations

Adler, Priit, Jaak Vilo, Olli Vapalahti, et al.. (2018). Prostaglandin D2 Receptor DP1 Antibodies Predict Vaccine-induced and Spontaneous Narcolepsy Type 1: Large-scale Study of Antibody Profiling. EBioMedicine. 29. 47–59. 23 indexed citations

Modhukur, Vijayachitra, et al.. (2017). MethSurv: A Web Tool to Perform Multivariable Survival Analysis Using DNA Methylation Data. Epigenomics. 10(3). 277–288. 416 indexed citations breakdown →

10.

Tserel, Liina, Raivo Kolde, Konstantin Tretyakov, et al.. (2015). Age-related profiling of DNA methylation in CD8+ T cells reveals changes in immune response and transcriptional regulator genes. Scientific Reports. 5(1). 13107–13107. 127 indexed citations

11.

Võsa, Urmo, Raivo Kolde, Jaak Vilo, Andres Metspalu, & Tarmo Annilo. (2014). Comprehensive Meta-analysis of MicroRNA Expression Using a Robust Rank Aggregation Approach. Methods in molecular biology. 1182. 361–373. 36 indexed citations

12.

Lokk, Kaie, Vijayachitra Modhukur, Balaji Rajashekar, et al.. (2014). DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns. Genome biology. 15(4). 224–224. 286 indexed citations

13.

Vilo, Jaak, et al.. (2010). Information Retrieval of Word Form Variants in Spoken Language Corpora Using Generalized Edit Distance. Language Resources and Evaluation. 1 indexed citations

14.

Vilo, Jaak, et al.. (2008). Strengthening the Estonian Language Technology. Language Resources and Evaluation. 1 indexed citations

15.

Kull, Meelis & Jaak Vilo. (2008). Fast approximate hierarchical clustering using similarity heuristics. BioData Mining. 1(1). 9–9. 14 indexed citations

16.

Reimand, Jüri, et al.. (2007). g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments. Nucleic Acids Research. 35(suppl_2). W193–W200. 961 indexed citations breakdown →

17.

Kapushesky, Misha, Patrick Kemmeren, Aedín C. Culhane, et al.. (2004). Expression Profiler: next generation--an online platform for analysis of microarray data. Nucleic Acids Research. 32(Web Server). W465–W470. 94 indexed citations

18.

Brāzma, Alvis, Inge Jonassen, Jaak Vilo, & Esko Ukkonen. (1998). Predicting gene regulatory elements from their expression data in the complete yeast genome.. 2 indexed citations

19.

Brāzma, Alvis, Inge Jonassen, Jaak Vilo, & Esko Ukkonen. (1998). Predicting Gene Regulatory Elements in Silico on a Genomic Scale. Genome Research. 8(11). 1202–1215. 238 indexed citations

20.

Brāzma, Alvis, Jaak Vilo, & Esko Ukkonen. (1997). Finding transcription factor binding site combinations in the yeast genome.. 57–59. 8 indexed citations

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.

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