Marko Laakso
Impact in
- Cancer Research top 10%
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- Prostate Cancer Treatment and Research
Papers in
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 6
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Gene Regulatory Network Analysis 2
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Sampsa Hautaniemi (17 shared papers)Kristian Ovaska (6 shared papers)Biswajyoti Sahu (2 shared papers)Olli A. Jänne (2 shared papers)Päivi Pihlajamaa (1 shared paper)Johan Lundin (1 shared paper)Antti Rannikko (1 shared paper)Tuomas Mirtti (1 shared paper)
- Journals
- Bioinformatics (3 papers)BioData Mining (2 papers)Oncotarget (2 papers)Genome Medicine (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- FinlandUnited StatesNorway
In The Last Decade
Marko Laakso
17 papers receiving 912 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 191
- Pulmonary and Respiratory Medicine 318
- Molecular Biology 621
- Genetics 177
- Endocrinology, Diabetes and Metabolism 76
Countries citing papers authored by Marko Laakso
This map shows the geographic impact of Marko Laakso'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 Marko Laakso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Laakso more than expected).
Fields of papers citing papers by Marko Laakso
This network shows the impact of papers produced by Marko Laakso. 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 Marko Laakso. The network helps show where Marko Laakso may publish in the future.
Co-authors
The 25 scholars most cited alongside Marko Laakso, 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 | 2011 | 296 | |
| 2 | 2012 | 187 | |
| 3 | 2010 | 137 | |
| 4 | 2008 | 74 | |
| 5 | 2011 | 39 | |
| 6 | 2012 | 37 | |
| 7 | 1983 | 25 | |
| 8 | 2010 | 21 | |
| 9 | 2015 | 19 | |
| 10 | 2016 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2010 | 13 | |
| 14 | 2016 | 11 | |
| 15 | 2015 | 9 | |
| 16 | 2013 | 3 | |
| 17 | 2013 | 1 | |
| 18 | Computational Identification of Recessive Mutations in Cancers using High Throughput SNP-arrays | 2007 | 0 |
| 19 | 2007 | 0 | |
| 20 | 2013 | 0 |
About Marko Laakso
Marko Laakso is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Cell Biology and Genetics, having authored 20 papers that have together received 924 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (6 papers), Cancer Genomics and Diagnostics (5 papers), Genomics and Phylogenetic Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Prostate Cancer Treatment and Research (2 papers), Gene Regulatory Network Analysis (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (191 citations), Pulmonary and Respiratory Medicine (318 citations), Molecular Biology (621 citations), Genetics (177 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Marko Laakso has collaborated with scholars based in Finland, United States and Norway. Frequent co-authors include Sampsa Hautaniemi, Kristian Ovaska, Biswajyoti Sahu, Olli A. Jänne, Päivi Pihlajamaa, Johan Lundin, Antti Rannikko, Tuomas Mirtti, Stig Nordling and Olli Kallioniemi. Their work appears in journals such as Bioinformatics, BioData Mining, Oncotarget, Genome Medicine and BMC Systems Biology.
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.