Matias Piipari
About
In The Last Decade
Matias Piipari
6 papers receiving 857 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 609
- Cancer Research 305
- Genetics 285
- Sensory Systems 98
- Immunology 42
Countries citing papers authored by Matias Piipari
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
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
| # | 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.