Tarmo Äijö

4.6k total citations · 3 hit papers
34 papers, 3.0k citations indexed

About

Tarmo Äijö is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Tarmo Äijö has authored 34 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Tarmo Äijö's work include Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (10 papers) and Immune Cell Function and Interaction (9 papers). Tarmo Äijö is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (10 papers) and Immune Cell Function and Interaction (9 papers). Tarmo Äijö collaborates with scholars based in United States, Finland and Greece. Tarmo Äijö's co-authors include Harri Lähdesmäki, Anjana Rao, Richard Bonneau, Sanja Vicković, Joakim Lundeberg, Patrick G. Hogan, Gustavo Martínez, Ageliki Tsagaratou, William A. Pastor and Francesco Marangoni and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Tarmo Äijö

31 papers receiving 3.0k citations

Hit Papers

High-definition spatial t... 2015 2026 2018 2022 2019 2015 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tarmo Äijö United States 18 1.8k 1.2k 578 351 202 34 3.0k
Thomas Eisenhaure United States 16 2.4k 1.3× 1.0k 0.8× 608 1.1× 301 0.9× 239 1.2× 22 3.3k
Ram P. Naikawadi United States 10 1.6k 0.9× 1.1k 0.9× 539 0.9× 525 1.5× 90 0.4× 11 3.1k
Ido Yofe Israel 17 1.8k 1.0× 1.1k 0.9× 714 1.2× 291 0.8× 120 0.6× 19 2.6k
Tamir Chandra United Kingdom 25 3.4k 1.9× 1.2k 1.0× 433 0.7× 606 1.7× 273 1.4× 47 4.6k
Florian Rambow Belgium 25 3.4k 1.9× 1.4k 1.2× 1.1k 1.9× 968 2.8× 209 1.0× 43 4.9k
Robert A. Amezquita United States 14 1.1k 0.6× 1.8k 1.5× 963 1.7× 614 1.7× 193 1.0× 18 3.1k
Astraea Jager United States 10 1.3k 0.7× 727 0.6× 386 0.7× 215 0.6× 67 0.3× 21 2.1k
Hana Imrichová Belgium 17 3.8k 2.1× 1.5k 1.3× 1.1k 1.9× 874 2.5× 265 1.3× 23 5.5k
Mariano J. Alvarez United States 27 2.8k 1.5× 895 0.7× 723 1.3× 771 2.2× 185 0.9× 47 4.1k
Florian Mair Switzerland 25 922 0.5× 1.6k 1.3× 318 0.6× 163 0.5× 127 0.6× 39 2.6k

Countries citing papers authored by Tarmo Äijö

Since Specialization
Citations

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

Fields of papers citing papers by Tarmo Äijö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarmo Äijö

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

All Works

20 of 20 papers shown
1.
Äijö, Tarmo, Britta Lötstedt, Nemanja D. Marjanovic, et al.. (2025). Tissue and cellular spatiotemporal dynamics in colon aging. Nature Biotechnology.
2.
Äijö, Tarmo, et al.. (2024). Concomitant loss of TET2 and TET3 results in T cell expansion and genomic instability in mice. Communications Biology. 7(1). 1606–1606. 2 indexed citations
3.
Äijö, Tarmo, et al.. (2024). TET proteins regulate Drosha expression and impact microRNAs in iNKT cells. Frontiers in Immunology. 15. 1440044–1440044. 2 indexed citations
4.
Äijö, Tarmo, et al.. (2024). Deciphering the TET3 interactome in primary thymic developing T cells. iScience. 27(5). 109782–109782. 3 indexed citations
6.
Vicković, Sanja, Gökçen Eraslan, Fredrik Salmén, et al.. (2019). High-definition spatial transcriptomics for in situ tissue profiling. Nature Methods. 16(10). 987–990. 705 indexed citations breakdown →
7.
Mani, V., Shannon K. Bromley, Tarmo Äijö, et al.. (2019). Migratory DCs activate TGF-β to precondition naïve CD8 + T cells for tissue-resident memory fate. Science. 366(6462). 146 indexed citations
8.
Maniatis, Silas, Tarmo Äijö, Sanja Vicković, et al.. (2019). Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis. Science. 364(6435). 89–93. 276 indexed citations breakdown →
9.
Marangoni, Francesco, Ruan Zhang, V. Mani, et al.. (2018). Tumor Tolerance–Promoting Function of Regulatory T Cells Is Optimized by CD28, but Strictly Dependent on Calcineurin. The Journal of Immunology. 200(10). 3647–3661. 19 indexed citations
10.
Äijö, Tarmo, Christian L. Müller, & Richard Bonneau. (2017). Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing. Bioinformatics. 34(3). 372–380. 42 indexed citations
11.
Tripathi, Subhash, Zhi Chen, Antti Larjo, et al.. (2017). Genome-wide Analysis of STAT3-Mediated Transcription during Early Human Th17 Cell Differentiation. Cell Reports. 19(9). 1888–1901. 83 indexed citations
12.
Yue, Xiaojing, Sara Trifari, Tarmo Äijö, et al.. (2016). Control of Foxp3 stability through modulation of TET activity. The Journal of Experimental Medicine. 213(3). 377–397. 265 indexed citations
13.
Monticelli, Silvia, Tarmo Äijö, & Sara Trifari. (2016). Approaches to Detect microRNA Expression in T Cell Subsets and T Cell Differentiation. Methods in molecular biology. 1514. 153–172. 5 indexed citations
14.
Äijö, Tarmo, Xiaojing Yue, Anjana Rao, & Harri Lähdesmäki. (2016). LuxGLM: a probabilistic covariate model for quantification of DNA methylation modifications with complex experimental designs. Bioinformatics. 32(17). i511–i519. 9 indexed citations
15.
Martínez, Gustavo, Renata M. Pereira, Tarmo Äijö, et al.. (2015). The Transcription Factor NFAT Promotes Exhaustion of Activated CD8 + T Cells. Immunity. 42(2). 265–278. 532 indexed citations breakdown →
16.
Tsagaratou, Ageliki, Tarmo Äijö, Chan‐Wang Jerry Lio, et al.. (2014). Dissecting the dynamic changes of 5-hydroxymethylcytosine in T-cell development and differentiation. Proceedings of the National Academy of Sciences. 111(32). E3306–15. 138 indexed citations
17.
Äijö, Tarmo, Vincent L. Butty, Zhi Chen, et al.. (2014). Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation. Bioinformatics. 30(12). i113–i120. 48 indexed citations
18.
Trifari, Sara, Matthew E. Pipkin, Hozefa S. Bandukwala, et al.. (2013). MicroRNA-directed program of cytotoxic CD8 + T-cell differentiation. Proceedings of the National Academy of Sciences. 110(46). 18608–18613. 79 indexed citations
19.
Ko, Myunggon, Jungeun An, Hozefa S. Bandukwala, et al.. (2013). Modulation of TET2 expression and 5-methylcytosine oxidation by the CXXC domain protein IDAX. Nature. 497(7447). 122–126. 289 indexed citations
20.
Äijö, Tarmo, Kirsi J. Granberg, & Harri Lähdesmäki. (2013). Sorad: a systems biology approach to predict and modulate dynamic signaling pathway response from phosphoproteome time-course measurements. Bioinformatics. 29(10). 1283–1291. 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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