Matias Piipari

1.7k total citations · 1 hit paper
6 papers, 864 citations indexed

About

Matias Piipari is a scholar working on Molecular Biology, Cancer Research and Sensory Systems. According to data from OpenAlex, Matias Piipari has authored 6 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Sensory Systems. Recurrent topics in Matias Piipari's work include Gene expression and cancer classification (3 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). Matias Piipari is often cited by papers focused on Gene expression and cancer classification (3 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). Matias Piipari collaborates with scholars based in United Kingdom, Germany and Spain. Matias Piipari's co-authors include Leopold Parts, Richard Durbin, John Winn, Oliver Stegle, Thomas A. Down, Tim Hubbard, Anton J. Enright, Stijn van Dongen, Morag A. Lewis and Cordelia Langford and has published in prestigious journals such as Nature Genetics, Bioinformatics and Nature Protocols.

In The Last Decade

Matias Piipari

6 papers receiving 857 citations

Hit Papers

Using probabilistic estimation of expression residuals (P... 2012 2026 2016 2021 2012 100 200 300 400

Peers

Matias Piipari
Comparison fields: 5 of 95
  • Molecular Biology 609
  • Cancer Research 305
  • Genetics 285
  • Sensory Systems 98
  • Immunology 42
Replace Anthony P. Fejes with:
Anthony P. Fejes Canada
John Bradsher United States
Vida Senkus Melvin United States
Raffaella Catena France
Yelena Dayn United States
Daniel C. Ellwanger United States
Yao-Fu Chang United States
Katia Carmine Simmen Canada
Ashley C. Kramer United States
Anthony P. Fejes Canada View profile →
Citations per field, relative to Matias Piipari
Matias Piipari · 1×
Citations per year, relative to Matias Piipari
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Countries citing papers authored by Matias Piipari

Since Specialization
Citations

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

Fields of papers citing papers by Matias Piipari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matias Piipari

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

All Works

6 of 6 papers shown
# Work Indexed citations
1
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses breakdown →
486
2 69
3 6
4 55
5 7
6 241

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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