Urmo Võsa

15.4k total citations · 2 hit papers
37 papers, 3.1k citations indexed

About

Urmo Võsa is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Urmo Võsa has authored 37 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Urmo Võsa's work include Genetic Associations and Epidemiology (10 papers), Cancer-related molecular mechanisms research (7 papers) and RNA modifications and cancer (6 papers). Urmo Võsa is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Cancer-related molecular mechanisms research (7 papers) and RNA modifications and cancer (6 papers). Urmo Võsa collaborates with scholars based in Estonia, United States and Netherlands. Urmo Võsa's co-authors include Lude Franke, Adriaan van der Graaf, Sipko van Dam, João Pedro de Magalhães, Cisca Wijmenga, Alexandra Zhernakova, Jingyuan Fu, Serena Sanna, Andres Metspalu and Mihai G. Netea and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Immunology.

In The Last Decade

Urmo Võsa

34 papers receiving 3.0k citations

Hit 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.

Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases

2019 1.1k citations Serena Sanna, Alexander Kurilshikov et al. Nature Genetics profile →
Gene co-expression analysis for functional classification and gene–disease predictions

2016 666 citations Sipko van Dam, Urmo Võsa et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Urmo Võsa Estonia	18	2.1k	624	481	456	402	37	3.1k
Ruby C.Y. Lin Australia	37	2.3k 1.1×	844 1.4×	556 1.2×	469 1.0×	360 0.9×	79	4.8k
Véronique Bourdeau Canada	24	2.1k 1.0×	699 1.1×	922 1.9×	472 1.0×	710 1.8×	42	4.6k
Yuko Tsuruta United States	28	1.3k 0.6×	532 0.9×	427 0.9×	280 0.6×	852 2.1×	50	2.8k
Marcus Dittrich Germany	33	1.8k 0.9×	253 0.4×	239 0.5×	450 1.0×	315 0.8×	103	3.7k
Elisabet Guinó Spain	29	1.9k 0.9×	890 1.4×	329 0.7×	801 1.8×	604 1.5×	58	4.7k
Ping Lin China	32	1.4k 0.7×	335 0.5×	656 1.4×	142 0.3×	320 0.8×	112	3.1k
Krishna R. Kalari United States	35	3.3k 1.6×	1.1k 1.7×	285 0.6×	618 1.4×	532 1.3×	131	5.5k
Gang Peng United States	31	1.4k 0.7×	529 0.8×	164 0.3×	466 1.0×	590 1.5×	119	3.2k
Εkaterini Chatzaki Greece	30	891 0.4×	385 0.6×	212 0.4×	190 0.4×	258 0.6×	116	2.8k
Carmen Alonso Spain	36	1.5k 0.7×	419 0.7×	601 1.2×	898 2.0×	460 1.1×	121	4.2k

Countries citing papers authored by Urmo Võsa

Since Specialization

Citations

This map shows the geographic impact of Urmo Võsa'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 Urmo Võsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urmo Võsa more than expected).

Fields of papers citing papers by Urmo Võsa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urmo Võsa. 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 Urmo Võsa. The network helps show where Urmo Võsa may publish in the future.

Co-authorship network of co-authors of Urmo Võsa

This figure shows the co-authorship network connecting the top 25 collaborators of Urmo Võsa. A scholar is included among the top collaborators of Urmo Võsa 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 Urmo Võsa. Urmo Võsa 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

Yu, Ketian, Karol Estrada, Tõnu Esko, et al.. (2025). Plasma Metabolic Outliers Identified in Estonian Human Knockouts. Metabolites. 15(5). 323–323.

Bakker, Olivier B., Annique Claringbould, Harm-Jan Westra, et al.. (2024). Identification of rare disease genes as drivers of common diseases through tissue-specific gene regulatory networks. Scientific Reports. 14(1). 30206–30206. 1 indexed citations

Võsa, Urmo, Jue‐Sheng Ong, Alex W. Hewitt, et al.. (2024). Developing and validating a comprehensive polygenic risk score to enhance keratoconus risk prediction. Human Molecular Genetics. 34(2). 140–147.

Jaagura, Madis, Jaanika Kronberg, Anu Reigo, et al.. (2024). Comorbidities confound metabolomics studies of human disease. Scientific Reports. 14(1). 24810–24810. 2 indexed citations

Kalnapenkis, Anette, Kaido Lepik, Mart Kals, et al.. (2024). Genetic determinants of plasma protein levels in the Estonian population. Scientific Reports. 14(1). 7694–7694. 2 indexed citations

Kasela, Silva, Tuuli Jürgenson, Aet Saar, et al.. (2023). The role of depression and antidepressant treatment in antihypertensive medication adherence and persistence: Utilising electronic health record data. Journal of Psychiatric Research. 168. 269–278. 6 indexed citations

Koel, Mariann, Urmo Võsa, Kristi Läll, et al.. (2023). GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer. Human Molecular Genetics. 32(12). 2103–2116. 10 indexed citations

Pazoki, Raha, Ville Karhunen, Urmo Võsa, et al.. (2022). Genetic analysis of over half a million people characterises C-reactive protein loci. Nature Communications. 13(1). 2198–2198. 95 indexed citations

Lepamets, Maarja, Chiara Auwerx, Margit Nõukas, et al.. (2022). Omics-informed CNV calls reduce false-positive rates and improve power for CNV-trait associations. Human Genetics and Genomics Advances. 3(4). 100133–100133. 5 indexed citations

10.

Hydén‐Granskog, Christel, Juha Kere, Juha S. Tapanainen, et al.. (2021). Small RNA expression and miRNA modification dynamics in human oocytes and early embryos. Genome Research. 31(8). 1474–1485. 23 indexed citations

11.

Graaf, Adriaan van der, Maria M. Zorro, Annique Claringbould, et al.. (2021). Systematic Prioritization of Candidate Genes in Disease Loci Identifies TRAFD1 as a Master Regulator of IFNγ Signaling in Celiac Disease. Frontiers in Genetics. 11. 562434–562434. 23 indexed citations

12.

Pagie, Ludo, Vincent FitzPatrick, Marcel de Haas, et al.. (2019). High-throughput identification of human SNPs affecting regulatory element activity. Nature Genetics. 51(7). 1160–1169. 122 indexed citations

13.

Bakker, Olivier B., Raúl Aguirre‐Gamboa, Serena Sanna, et al.. (2018). Integration of multi-omics data and deep phenotyping enables prediction of cytokine responses. Nature Immunology. 19(7). 776–786. 86 indexed citations

14.

Zhernakova, Daria V., Trang Le, Alexander Kurilshikov, et al.. (2018). Individual variations in cardiovascular-disease-related protein levels are driven by genetics and gut microbiome. Nature Genetics. 50(11). 1524–1532. 62 indexed citations

15.

Koel, Mariann, Urmo Võsa, Kaarel Krjutškov, et al.. (2017). Optimizing bone morphogenic protein 4-mediated human embryonic stem cell differentiation into trophoblast-like cells using fibroblast growth factor 2 and transforming growth factor-β/activin/nodal signalling inhibition. Reproductive BioMedicine Online. 35(3). 253–263. 13 indexed citations

16.

Dam, Sipko van, Urmo Võsa, Adriaan van der Graaf, Lude Franke, & João Pedro de Magalhães. (2016). Gene co-expression analysis for functional classification and gene–disease predictions. Briefings in Bioinformatics. 19(4). bbw139–bbw139. 666 indexed citations breakdown →

17.

Võsa, Urmo, Tōnu Esko, Silva Kasela, & Tarmo Annilo. (2015). Altered Gene Expression Associated with microRNA Binding Site Polymorphisms. PLoS ONE. 10(10). e0141351–e0141351. 21 indexed citations

18.

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

19.

Kumar, Vinod, Harm-Jan Westra, Juha Karjalainen, et al.. (2013). Human Disease-Associated Genetic Variation Impacts Large Intergenic Non-Coding RNA Expression. PLoS Genetics. 9(1). e1003201–e1003201. 216 indexed citations

20.

Võsa, Urmo, Tõnu Vooder, Raivo Kolde, et al.. (2011). Identification of miR‐374a as a prognostic marker for survival in patients with early‐stage nonsmall cell lung cancer. Genes Chromosomes and Cancer. 50(10). 812–822. 112 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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