Mervi Laakso
About
In The Last Decade
Mervi Laakso
6 papers receiving 451 citations
Peers
Comparison fields: 5 of 54
- Oncology 279
- Molecular Biology 196
- Cancer Research 194
- Genetics 156
- Pathology and Forensic Medicine 69
Countries citing papers authored by Mervi Laakso
This map shows the geographic impact of Mervi 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 Mervi Laakso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mervi Laakso more than expected).
Fields of papers citing papers by Mervi Laakso
This network shows the impact of papers produced by Mervi 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 Mervi Laakso. The network helps show where Mervi Laakso may publish in the future.
Co-authorship network of co-authors of Mervi Laakso
This figure shows the co-authorship network connecting the top 25 collaborators of Mervi Laakso. A scholar is included among the top collaborators of Mervi Laakso 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 Mervi Laakso. Mervi Laakso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 154 | |
| 2 | 47 | |
| 3 | 93 | |
| 4 | 24 | |
| 5 | 145 | |
| 6 | Trauma, renal vein thrombosis and subsequent nephrotic syndrome. | 1 |
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.