Rasko Leinonen
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Martin ShumwayHideaki SugawaraYuichi KodamaGuy CochraneMarkus Hsi-Yang FritzEwan BirneyRolf ApweilerLaura Clarke
- Journals
- Bioinformatics (4 papers)Nucleic Acids Research (2 papers)Genome Research (1 paper)Nature Methods (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Rasko Leinonen
10 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 2.4k
- Cancer Research 439
- Genetics 501
- Endocrinology 76
- Plant Science 475
Countries citing papers authored by Rasko Leinonen
This map shows the geographic impact of Rasko Leinonen'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 Rasko Leinonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasko Leinonen more than expected).
Fields of papers citing papers by Rasko Leinonen
This network shows the impact of papers produced by Rasko Leinonen. 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 Rasko Leinonen. The network helps show where Rasko Leinonen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rasko Leinonen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2021 | 6 | |
| 3 | 2013 | 10 | |
| 4 | 2012 | 285 | |
| 5 | 2011 | 245 | |
| 6 | The sequence read archive: explosive growth of sequencing data Hit paper breakdown → | 2011 | 641 |
| 7 | The Sequence Read Archive Hit paper breakdown → | 2010 | 1824 |
| 8 | 2007 | 100 | |
| 9 | 2006 | 18 | |
| 10 | 2004 | 133 | |
| 11 | 2003 | 11 |
About Rasko Leinonen
Rasko Leinonen is a scholar working on Spectroscopy, Microbiology, Molecular Biology, Ecology and Genetics, having authored 11 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Advanced Proteomics Techniques and Applications (3 papers), Genomics and Rare Diseases (2 papers), Machine Learning in Bioinformatics (2 papers), Microbial Community Ecology and Physiology (2 papers), Biomedical Text Mining and Ontologies (2 papers), RNA and protein synthesis mechanisms (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Cancer Research (439 citations), Genetics (501 citations), Endocrinology (76 citations) and Plant Science (475 citations). Rasko Leinonen has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Martin Shumway, Hideaki Sugawara, Yuichi Kodama, Guy Cochrane, Markus Hsi-Yang Fritz, Ewan Birney, Rolf Apweiler, Laura Clarke, Eugene Kulesha and Brendan Vaughan. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Genome Research, Nature Methods and PLoS ONE.
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.