Jonas Maaskola

3.9k total citations · 2 hit papers
13 papers, 2.4k citations indexed

About

Jonas Maaskola is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jonas Maaskola has authored 13 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Jonas Maaskola's work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and Single-cell and spatial transcriptomics (3 papers). Jonas Maaskola is often cited by papers focused on RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers) and Single-cell and spatial transcriptomics (3 papers). Jonas Maaskola collaborates with scholars based in United States, Germany and Sweden. Jonas Maaskola's co-authors include Nikolaus Rajewsky, Wei Chen, Marc R. Friedländer, Catherine Adamidi, Ralf Einspanier, Joakim Lundeberg, Kim Thrane, Hanna Eriksson, Johan Hansson and Bryan He and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Jonas Maaskola

13 papers receiving 2.4k 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.

Discovering microRNAs from deep sequencing data using miRDeep

2008 982 citations Marc R. Friedländer, Wei Chen et al. Nature Biotechnology profile →
Integrating spatial gene expression and breast tumour morphology via deep learning

2020 261 citations Bryan He, Ludvig Bergenstråhle et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Maaskola United States	13	1.9k	1.1k	267	190	171	13	2.4k
Yangzhou Wang China	13	2.3k 1.2×	661 0.6×	406 1.5×	269 1.4×	178 1.0×	38	2.9k
Fuchou Tang United Kingdom	6	2.6k 1.4×	1.1k 1.0×	442 1.7×	270 1.4×	135 0.8×	7	3.1k
Valentine Svensson United Kingdom	14	2.6k 1.4×	644 0.6×	594 2.2×	267 1.4×	58 0.3×	16	3.1k
Yashar S. Niknafs United States	15	2.3k 1.2×	2.2k 2.0×	125 0.5×	136 0.7×	99 0.6×	26	2.8k
Robrecht Cannoodt Belgium	10	1.9k 1.0×	403 0.4×	561 2.1×	237 1.2×	62 0.4×	20	2.5k
Xinglong Wu China	20	3.7k 2.0×	1.2k 1.1×	349 1.3×	406 2.1×	133 0.8×	46	4.4k
Dalia Barkley United States	5	1.4k 0.7×	453 0.4×	435 1.6×	380 2.0×	46 0.3×	6	1.8k
Hamish W. King United Kingdom	17	2.6k 1.4×	851 0.8×	427 1.6×	187 1.0×	126 0.7×	24	3.0k
Mireya Plass Spain	17	2.8k 1.5×	1.3k 1.2×	331 1.2×	120 0.6×	171 1.0×	26	3.1k

Countries citing papers authored by Jonas Maaskola

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Maaskola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Maaskola

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

All Works

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13 of 13 papers shown

Bergenstråhle, Ludvig, Bryan He, Joseph Bergenstråhle, et al.. (2021). Super-resolved spatial transcriptomics by deep data fusion. Nature Biotechnology. 40(4). 476–479. 90 indexed citations

He, Bryan, Ludvig Bergenstråhle, Linnea Stenbeck, et al.. (2020). Integrating spatial gene expression and breast tumour morphology via deep learning. Nature Biomedical Engineering. 4(8). 827–834. 261 indexed citations breakdown →

Berglund, Emelie, Jonas Maaskola, Niklas Schultz, et al.. (2018). Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity. Nature Communications. 9(1). 2419–2419. 343 indexed citations

Thrane, Kim, Hanna Eriksson, Jonas Maaskola, Johan Hansson, & Joakim Lundeberg. (2018). Spatially Resolved Transcriptomics Enables Dissection of Genetic Heterogeneity in Stage III Cutaneous Malignant Melanoma. Cancer Research. 78(20). 5970–5979. 220 indexed citations

Asp, Michaela, Fredrik Salmén, Patrik L. Ståhl, et al.. (2017). Spatial detection of fetal marker genes expressed at low level in adult human heart tissue. Scientific Reports. 7(1). 12941–12941. 55 indexed citations

Maaskola, Jonas & Nikolaus Rajewsky. (2014). Binding site discovery from nucleic acid sequences by discriminative learning of hidden Markov models. Nucleic Acids Research. 42(21). 12995–13011. 21 indexed citations

Wang, Yongbo, Andreas Gogol‐Döring, Hao Hu, et al.. (2013). Integrative analysis revealed the molecular mechanism underlying RBM 10‐mediated splicing regulation. EMBO Molecular Medicine. 5(9). 1431–1442. 82 indexed citations

Song, Jia L., Marlon Stoeckius, Jonas Maaskola, et al.. (2011). Select microRNAs are essential for early development in the sea urchin. Developmental Biology. 362(1). 104–113. 51 indexed citations

Eyß, Björn von, Jonas Maaskola, Sebastian Memczak, et al.. (2011). The SNF2‐like helicase HELLS mediates E2F3‐dependent transcription and cellular transformation. The EMBO Journal. 31(4). 972–985. 63 indexed citations

10.

Mackowiak, Sebastian D., Marvin Jens, Jonas Maaskola, et al.. (2011). doRiNA: a database of RNA interactions in post-transcriptional regulation. Nucleic Acids Research. 40(D1). D180–D186. 165 indexed citations

11.

Chen, Kevin, Jonas Maaskola, Mark L. Siegal, & Nikolaus Rajewsky. (2009). Reexamining microRNA Site Accessibility in Drosophila: A Population Genomics Study. PLoS ONE. 4(5). e5681–e5681. 12 indexed citations

12.

Stoeckius, Marlon, Jonas Maaskola, Teresa Colombo, et al.. (2009). Large-scale sorting of C. elegans embryos reveals the dynamics of small RNA expression. Nature Methods. 6(10). 745–751. 73 indexed citations

13.

Friedländer, Marc R., Wei Chen, Catherine Adamidi, et al.. (2008). Discovering microRNAs from deep sequencing data using miRDeep. Nature Biotechnology. 26(4). 407–415. 982 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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