Matias Piipari

1.7k citations
6 papers · 864 indexed · 1 hit paper · h-index 6
Topics
Gene expression and cancer classification (3 papers)Cancer-related molecular mechanisms research (2 papers)MicroRNA in disease regulation (2 papers)

In The Last Decade

Matias Piipari

6 papers receiving 857 citations

Hit Papers

Using probabilistic estimation of expression residuals (P...20122026201620212012100200300400

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
Mingchu Xu United States
Ashley C. Kramer United States
Ping Xu China
Mélanie Eckersley-Maslin United Kingdom
Otto Jolanki United States
Katia Carmine Simmen Canada
Matias Piipari relative to Anthony P. Fejes Canada Anthony P. Fejes's profile →
Citations per field
00.5×3.6×
Anthony P. Fejes · 1×
Citations per year

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
#WorkIndexed citations
1
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analysesbreakdown →
486
2 69
3 6
4 55
5 7
6 241

About Matias Piipari

Matias Piipari is a scholar working on Sensory Systems, Cancer Research and Molecular Biology, having authored 6 papers that have together received 864 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (305 citations), Sensory Systems (98 citations) and Genetics (285 citations). Matias Piipari has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent 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. Their work appears in journals such as Nature Genetics, Bioinformatics and Nature Protocols.

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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