Altuna Akalin

11.1k total citations · 2 hit papers
61 papers, 4.4k citations indexed

About

Altuna Akalin is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Altuna Akalin has authored 61 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Immunology. Recurrent topics in Altuna Akalin's work include RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (14 papers) and RNA modifications and cancer (12 papers). Altuna Akalin is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (14 papers) and RNA modifications and cancer (12 papers). Altuna Akalin collaborates with scholars based in Germany, United States and Norway. Altuna Akalin's co-authors include Christopher E. Mason, Ari Melnick, Sheng Li, Francine E. Garrett-Bakelman, Matthías Kormáksson, María E. Figueroa, Vedran Franke, Dirk Schübeler, C Wirbelauer and Juliane Schmidt and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Altuna Akalin

60 papers receiving 4.3k citations

Hit Papers

methylKit: a comprehensive R package for the analysis of ... 2012 2026 2016 2021 2012 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Altuna Akalin Germany 30 3.4k 746 583 438 254 61 4.4k
Cory Y. McLean United States 15 3.8k 1.1× 1.2k 1.7× 703 1.2× 439 1.0× 391 1.5× 21 5.0k
Marcelo A. Nóbrega United States 35 4.7k 1.4× 1.4k 1.9× 616 1.1× 574 1.3× 262 1.0× 69 5.8k
Aimée M. Deaton United States 15 3.4k 1.0× 868 1.2× 505 0.9× 275 0.6× 263 1.0× 20 4.0k
Adam Ameur Sweden 32 2.4k 0.7× 738 1.0× 485 0.8× 264 0.6× 234 0.9× 96 3.7k
Michael D. Wilson Canada 34 4.4k 1.3× 915 1.2× 841 1.4× 709 1.6× 345 1.4× 100 5.5k
Marnie E. Blewitt Australia 30 2.7k 0.8× 1.1k 1.4× 333 0.6× 290 0.7× 372 1.5× 68 3.6k
Elia Stupka Italy 27 2.0k 0.6× 631 0.8× 843 1.4× 266 0.6× 246 1.0× 61 3.1k
Steffen Heyne Germany 10 4.1k 1.2× 628 0.8× 513 0.9× 936 2.1× 466 1.8× 14 5.1k
Lingyun Song United States 30 3.9k 1.1× 1.2k 1.6× 537 0.9× 336 0.8× 238 0.9× 59 4.5k
Álvaro Rada-Iglesias Germany 27 3.9k 1.1× 846 1.1× 426 0.7× 466 1.1× 252 1.0× 62 4.8k

Countries citing papers authored by Altuna Akalin

Since Specialization
Citations

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

Fields of papers citing papers by Altuna Akalin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Altuna Akalin

This figure shows the co-authorship network connecting the top 25 collaborators of Altuna Akalin. A scholar is included among the top collaborators of Altuna Akalin 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 Altuna Akalin. Altuna Akalin 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.
Neugebauer, Eva, Stephanie Wälter, Nir Drayman, et al.. (2025). Herpesviruses mimic zygotic genome activation to promote viral replication. Nature Communications. 16(1). 710–710. 3 indexed citations
2.
Akalin, Altuna, et al.. (2025). Leveraging large language models for data analysis automation. PLoS ONE. 20(2). e0317084–e0317084. 4 indexed citations
3.
Gruber, Sylvia, Bernhard Kratzer, Winfried F. Pickl, et al.. (2024). Cytosolic nucleic acid sensors and interferon beta-1 activation drive radiation-induced anti-tumour immune effects in human pancreatic cancer cells. Frontiers in Immunology. 15. 1286942–1286942. 1 indexed citations
4.
Roske, Yvette, Bora Uyar, Altuna Akalin, et al.. (2024). Pathogenic mutations of human phosphorylation sites affect protein–protein interactions. Nature Communications. 15(1). 3146–3146. 9 indexed citations
5.
Kratzer, Adelheid, Héctor Giral, Vedran Franke, et al.. (2024). Acute myocardial infarction leads to distinct sex differences in the coding transcriptome of human monocytes with a potential impact in disease aetiopathology. European Heart Journal. 45(Supplement_1). 1 indexed citations
6.
Franke, Vedran, Melania Bruno, Anton A. Polyansky, et al.. (2023). The SPOC proteins DIDO3 and PHF3 co-regulate gene expression and neuronal differentiation. Nature Communications. 14(1). 7912–7912. 1 indexed citations
7.
Cuadrat, Rafael R. C., Adelheid Kratzer, M Moobed, et al.. (2023). Cardiovascular disease biomarkers derived from circulating cell-free DNA methylation. NAR Genomics and Bioinformatics. 5(2). lqad061–lqad061. 12 indexed citations
8.
Franke, Vedran, Irina Grishkovskaya, Anton A. Polyansky, et al.. (2023). The SPOC domain is a phosphoserine binding module that bridges transcription machinery with co- and post-transcriptional regulators. Nature Communications. 14(1). 166–166. 15 indexed citations
9.
Kopp, Wolfgang, Altuna Akalin, & Uwe Ohler. (2022). Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning. Nature Machine Intelligence. 4(2). 162–168. 19 indexed citations
10.
Kopp, Wolfgang, Rieke Kempfer, Antje Hirsekorn, et al.. (2022). Single-cell-resolved dynamics of chromatin architecture delineate cell and regulatory states in zebrafish embryos. Cell Genomics. 2(1). 100083–100083. 11 indexed citations
11.
Menzel, Lutz, Vedran Franke, Michael Grau, et al.. (2021). Lymphocyte access to lymphoma is impaired by high endothelial venule regression. Cell Reports. 37(4). 109878–109878. 12 indexed citations
12.
Kolesnichenko, Marina, Uta E. Höpken, Eva Kärgel, et al.. (2021). Transcriptional repression of NFKBIA triggers constitutive IKK‐ and proteasome‐independent p65/RelA activation in senescence. The EMBO Journal. 40(6). e104296–e104296. 51 indexed citations
13.
Balasubramanian, Sandhya, Marieta Cagánová, Robin Graf, et al.. (2020). PDGFA-associated protein 1 protects mature B lymphocytes from stress-induced cell death and promotes antibody gene diversification. The Journal of Experimental Medicine. 217(10). 7 indexed citations
14.
Sommermann, Thomas, Tomoharu Yasuda, Jonathan Ronen, et al.. (2020). Functional interplay of Epstein-Barr virus oncoproteins in a mouse model of B cell lymphomagenesis. Proceedings of the National Academy of Sciences. 117(25). 14421–14432. 21 indexed citations
15.
Uyar, Bora, Daniel H. Palmer, Axel Kowald, et al.. (2020). Single-cell analyses of aging, inflammation and senescence. Ageing Research Reviews. 64. 101156–101156. 134 indexed citations
16.
17.
Wessels, Hans‐Hermann, Svetlana Lebedeva, Antje Hirsekorn, et al.. (2019). Global identification of functional microRNA-mRNA interactions in Drosophila. Nature Communications. 10(1). 1626–1626. 36 indexed citations
18.
Wurmus, Ricardo, et al.. (2018). PiGx: reproducible genomics analysis pipelines with GNU Guix. GigaScience. 7(12). 36 indexed citations
19.
Plessy, Charles, Giovanni Pascarella, Nicolas Bertin, et al.. (2011). Promoter architecture of mouse olfactory receptor genes. Genome Research. 22(3). 486–497. 48 indexed citations
20.
Akalin, Altuna, David Fredman, Erik Arner, et al.. (2009). Transcriptional features of genomic regulatory blocks. Genome biology. 10(4). R38–R38. 75 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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