Kaur Alasoo

7.3k total citations · 1 hit paper
19 papers, 857 citations indexed

About

Kaur Alasoo is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Kaur Alasoo has authored 19 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Immunology. Recurrent topics in Kaur Alasoo's work include Genetic Associations and Epidemiology (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Kaur Alasoo is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Kaur Alasoo collaborates with scholars based in Estonia, United Kingdom and United States. Kaur Alasoo's co-authors include Daniel J. Gaffney, Christine Hale, Gordon Dougan, Subhankar Mukhopadhyay, Julia Rodrigues, Andrew Knights, Pedro Madrigal, Kousik Kundu, Alice Mann and Dmytro Fishman and has published in prestigious journals such as Nature Genetics, PLoS ONE and Scientific Reports.

In The Last Decade

Kaur Alasoo

19 papers receiving 854 citations

Hit Papers

A compendium of uniformly processed human gene expression... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaur Alasoo Estonia 12 545 259 155 65 55 19 857
Alessandra Breschi United States 9 507 0.9× 189 0.7× 86 0.6× 115 1.8× 98 1.8× 13 914
Juan C. Perín United States 14 510 0.9× 189 0.7× 111 0.7× 78 1.2× 53 1.0× 17 834
Sravya Kommineni United States 5 727 1.3× 221 0.9× 120 0.8× 35 0.5× 55 1.0× 5 1.0k
Alka Chaubey United States 15 371 0.7× 218 0.8× 48 0.3× 79 1.2× 65 1.2× 49 782
April Mengos United States 17 633 1.2× 157 0.6× 111 0.7× 60 0.9× 89 1.6× 20 1.3k
Shurjo K. Sen United States 15 857 1.6× 326 1.3× 196 1.3× 107 1.6× 36 0.7× 26 1.3k
Ehsan Habibi Iran 13 1.1k 2.0× 180 0.7× 69 0.4× 82 1.3× 24 0.4× 30 1.3k
Erik Arner Japan 15 421 0.8× 70 0.3× 89 0.6× 83 1.3× 61 1.1× 24 636
Yingleong Chan United States 13 686 1.3× 429 1.7× 52 0.3× 75 1.2× 55 1.0× 22 1.1k
Carl G. de Boer Canada 15 800 1.5× 157 0.6× 144 0.9× 53 0.8× 93 1.7× 23 1.1k

Countries citing papers authored by Kaur Alasoo

Since Specialization
Citations

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

Fields of papers citing papers by Kaur Alasoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaur Alasoo

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

All Works

19 of 19 papers shown
1.
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
2.
Love, Michael I., et al.. (2024). Extensive co-regulation of neighboring genes complicates the use of eQTLs in target gene prioritization. Human Genetics and Genomics Advances. 5(4). 100348–100348. 3 indexed citations
3.
Aguet, François, Kaur Alasoo, Yang Li, et al.. (2023). Molecular quantitative trait loci. Nature Reviews Methods Primers. 3(1). 49 indexed citations
4.
Pook, Martin, Anu Remm, Tanel Tenson, et al.. (2023). Skin Colonization with S. aureus Can Lead to Increased NLRP1 Inflammasome Activation in Patients with Atopic Dermatitis. Journal of Investigative Dermatology. 143(7). 1268–1278.e8. 17 indexed citations
5.
Hallast, Pille, Luca Crepaldi, Yan Zhou, et al.. (2023). Optimized whole-genome CRISPR interference screens identify ARID1A-dependent growth regulators in human induced pluripotent stem cells. Stem Cell Reports. 18(5). 1061–1074. 3 indexed citations
6.
Reigo, Anu, Sven Laur, Ardi Tampuu, et al.. (2023). Common clinical blood and urine biomarkers for ischemic stroke: an Estonian Electronic Health Records database study. European journal of medical research. 28(1). 133–133. 3 indexed citations
7.
Gilchrist, James J., Silvia N. Kariuki, James A Watson, et al.. (2022). BIRC6 modifies risk of invasive bacterial infection in Kenyan children. eLife. 11. 4 indexed citations
8.
Hamid, Fursham, Kaur Alasoo, Jaak Vilo, & Eugene V. Makeyev. (2022). Functional Annotation of Custom Transcriptomes. Methods in molecular biology. 2537. 149–172. 4 indexed citations
9.
Bossini‐Castillo, Lara, Dafni A. Glinos, Natalia Kunowska, et al.. (2022). Immune disease variants modulate gene expression in regulatory CD4+ T cells. Cell Genomics. 2(4). 100117–100117. 27 indexed citations
10.
Kerimov, Nurlan, James Hayhurst, Jonathan Manning, et al.. (2021). A compendium of uniformly processed human gene expression and splicing quantitative trait loci. Nature Genetics. 53(9). 1290–1299. 165 indexed citations breakdown →
11.
Kolberg, Liis, Nurlan Kerimov, Hedi Peterson, & Kaur Alasoo. (2020). Co-expression analysis reveals interpretable gene modules controlled by trans-acting genetic variants. eLife. 9. 22 indexed citations
12.
Alasoo, Kaur, Julia Rodrigues, John Danesh, et al.. (2019). Genetic effects on promoter usage are highly context-specific and contribute to complex traits. eLife. 8. 36 indexed citations
13.
Madrigal, Pedro & Kaur Alasoo. (2018). AP-1 Takes Centre Stage in Enhancer Chromatin Dynamics. Trends in Cell Biology. 28(7). 509–511. 43 indexed citations
14.
Alasoo, Kaur, Julia Rodrigues, Subhankar Mukhopadhyay, et al.. (2018). Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response. Nature Genetics. 50(3). 424–431. 162 indexed citations
15.
Godinho, Cláudia P., Nuno P. Mira, Tânia R. Cabrito, et al.. (2017). Yeast response and tolerance to benzoic acid involves the Gcn4- and Stp1-regulated multidrug/multixenobiotic resistance transporter Tpo1. Applied Microbiology and Biotechnology. 101(12). 5005–5018. 8 indexed citations
16.
Schwartzentruber, Jeremy, Stefanie Foskolou, Helena Kilpinen, et al.. (2017). Molecular and functional variation in iPSC-derived sensory neurons. Nature Genetics. 50(1). 54–61. 142 indexed citations
17.
Alasoo, Kaur, et al.. (2017). Computational biology: deep learning. Emerging Topics in Life Sciences. 1(3). 257–274. 58 indexed citations
18.
Alasoo, Kaur, Fernando O. Martínez, Christine Hale, et al.. (2015). Transcriptional profiling of macrophages derived from monocytes and iPS cells identifies a conserved response to LPS and novel alternative transcription. Scientific Reports. 5(1). 12524–12524. 73 indexed citations
19.
Hale, Christine, Amy Yeung, David Goulding, et al.. (2015). Induced Pluripotent Stem Cell Derived Macrophages as a Cellular System to Study Salmonella and Other Pathogens. PLoS ONE. 10(5). e0124307–e0124307. 36 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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