Anna Vähärautio

3.0k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

Anna Vähärautio is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Anna Vähärautio has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Anna Vähärautio's work include Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (7 papers) and Genomics and Chromatin Dynamics (3 papers). Anna Vähärautio is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (7 papers) and Genomics and Chromatin Dynamics (3 papers). Anna Vähärautio collaborates with scholars based in Finland, Sweden and United States. Anna Vähärautio's co-authors include Jussi Taipale, Martin Enge, Teemu Kivioja, Martin Bonke, Kasper Karlsson, Sten Linnarsson, Lauri A. Aaltonen, Mikko Turunen, Minna Taipale and Pia Vahteristo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Anna Vähärautio

18 papers receiving 1.4k citations

Hit Papers

Counting absolute numbers of molecules using unique molec... 2011 2026 2016 2021 2011 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
Anna Vähärautio Finland 12 950 368 224 209 197 18 1.5k
Diana Low Singapore 14 1.4k 1.4× 183 0.5× 129 0.6× 186 0.9× 27 0.1× 18 1.7k
Lei Song United States 14 466 0.5× 288 0.8× 82 0.4× 106 0.5× 104 0.5× 41 849
Nils Weinhold United States 12 810 0.9× 384 1.0× 45 0.2× 282 1.3× 39 0.2× 19 1.2k
Zoe Miner United States 10 838 0.9× 186 0.5× 168 0.8× 333 1.6× 39 0.2× 15 1.2k
Jose Espejo Valle-Inclán United Kingdom 13 561 0.6× 270 0.7× 63 0.3× 272 1.3× 27 0.1× 17 982
Radost Vatcheva United Kingdom 16 1.6k 1.7× 459 1.2× 183 0.8× 974 4.7× 43 0.2× 19 2.2k
Igor Chernukhin United Kingdom 23 1.4k 1.5× 165 0.4× 34 0.2× 393 1.9× 43 0.2× 44 1.8k
Alison Meynert United Kingdom 15 403 0.4× 110 0.3× 114 0.5× 67 0.3× 51 0.3× 28 770
Yuanhua Huang Hong Kong 17 864 0.9× 211 0.6× 65 0.3× 123 0.6× 22 0.1× 58 1.2k
Geoffrey Childs United States 15 1.0k 1.1× 451 1.2× 36 0.2× 142 0.7× 26 0.1× 21 1.3k

Countries citing papers authored by Anna Vähärautio

Since Specialization
Citations

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

Fields of papers citing papers by Anna Vähärautio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Vähärautio

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

All Works

18 of 18 papers shown
1.
Katainen, Riku, Jun Dai, Anna Vähärautio, et al.. (2025). Drug-tolerant persisting polyploid giant cancer cells mediate resistance to HER2-targeting antibody-drug conjugates. Cancer Letters. 630. 217900–217900. 2 indexed citations
2.
Ianevski, Aleksandr, Wojciech Senkowski, Daria Bulanova, et al.. (2024). Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones. Nature Communications. 15(1). 8579–8579. 13 indexed citations
3.
Erkan, Erdoğan Pekcan, Matías Marín Falco, Kaisa Huhtinen, et al.. (2024). Locus-specific LINE-1 expression in clinical ovarian cancer specimens at the single-cell level. Scientific Reports. 14(1). 4322–4322. 1 indexed citations
4.
Jamalzadeh, Sanaz, Jun Dai, Yilin Li, et al.. (2024). Genome-wide quantification of copy-number aberration impact on gene expression in ovarian high-grade serous carcinoma. BMC Cancer. 24(1). 173–173. 2 indexed citations
5.
Dai, Jun, Shuyu Zheng, Matías Marín Falco, et al.. (2024). Tracing back primed resistance in cancer via sister cells. Nature Communications. 15(1). 1158–1158. 7 indexed citations
6.
Vähärautio, Anna, et al.. (2023). The Emerging Role of the Single-Cell and Spatial Tumor Microenvironment in High-Grade Serous Ovarian Cancer. Cold Spring Harbor Perspectives in Medicine. 13(10). a041314–a041314. 7 indexed citations
7.
Zielke, Norman, Anna Vähärautio, Jianping Liu, Teemu Kivioja, & Jussi Taipale. (2022). Upregulation of ribosome biogenesis via canonical E-boxes is required for Myc-driven proliferation. Developmental Cell. 57(8). 1024–1036.e5. 8 indexed citations
8.
Zhang, Kaiyang, Erdoğan Pekcan Erkan, Sanaz Jamalzadeh, et al.. (2022). Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer. Science Advances. 8(8). eabm1831–eabm1831. 93 indexed citations
9.
Falco, Matías Marín, Lukas M. Weber, Erdoğan Pekcan Erkan, et al.. (2021). miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data. PLoS Computational Biology. 17(8). e1009290–e1009290. 45 indexed citations
10.
He, Liye, Daria Bulanova, Jaana Oikkonen, et al.. (2021). Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer. Briefings in Bioinformatics. 22(6). 16 indexed citations
11.
Häkkinen, Antti, Kaiyang Zhang, Amjad Alkodsi, et al.. (2021). PRISM: recovering cell-type-specific expression profiles from individual composite RNA-seq samples. Bioinformatics. 37(18). 2882–2888. 11 indexed citations
12.
Tumiati, Manuela, Sakari Hietanen, Johanna Hynninen, et al.. (2018). A Functional Homologous Recombination Assay Predicts Primary Chemotherapy Response and Long-Term Survival in Ovarian Cancer Patients. Clinical Cancer Research. 24(18). 4482–4493. 76 indexed citations
13.
Mehine, Miika, Eevi Kaasinen, Hanna-Riikka Heinonen, et al.. (2016). Integrated data analysis reveals uterine leiomyoma subtypes with distinct driver pathways and biomarkers. Proceedings of the National Academy of Sciences. 113(5). 1315–1320. 157 indexed citations
14.
Turunen, Mikko, Oliver Mortusewicz, Teemu Kivioja, et al.. (2016). Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion. Cell Cycle. 16(2). 189–199. 19 indexed citations
15.
Turunen, Mikko, Jason M. Spaeth, Salla Keskitalo, et al.. (2014). Uterine Leiomyoma-Linked MED12 Mutations Disrupt Mediator-Associated CDK Activity. Cell Reports. 7(3). 654–660. 123 indexed citations
16.
Bonke, Martin, Mikko Turunen, Anna Vähärautio, et al.. (2013). Transcriptional Networks Controlling the Cell Cycle. G3 Genes Genomes Genetics. 3(1). 75–90. 20 indexed citations
17.
Sur, Inderpreet, Outi Hallikas, Anna Vähärautio, et al.. (2012). Mice Lacking a Myc Enhancer That Includes Human SNP rs6983267 Are Resistant to Intestinal Tumors. Science. 338(6112). 1360–1363. 149 indexed citations
18.
Kivioja, Teemu, Anna Vähärautio, Kasper Karlsson, et al.. (2011). Counting absolute numbers of molecules using unique molecular identifiers. Nature Methods. 9(1). 72–74. 707 indexed citations breakdown →

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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