Mikko Ylilauri
About
In The Last Decade
Mikko Ylilauri
7 papers receiving 375 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 224
- Computational Theory and Mathematics 72
- Infectious Diseases 53
- Organic Chemistry 46
- Genetics 37
Countries citing papers authored by Mikko Ylilauri
This map shows the geographic impact of Mikko Ylilauri'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 Mikko Ylilauri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikko Ylilauri more than expected).
Fields of papers citing papers by Mikko Ylilauri
This network shows the impact of papers produced by Mikko Ylilauri. 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 Mikko Ylilauri. The network helps show where Mikko Ylilauri may publish in the future.
Co-authorship network of co-authors of Mikko Ylilauri
This figure shows the co-authorship network connecting the top 25 collaborators of Mikko Ylilauri. A scholar is included among the top collaborators of Mikko Ylilauri 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 Mikko Ylilauri. Mikko Ylilauri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 39 | |
| 3 | 13 | |
| 4 | 252 | |
| 5 | 18 | |
| 6 | 17 | |
| 7 | 25 |
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.