Laura Sipilä
About
In The Last Decade
Laura Sipilä
8 papers receiving 417 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 281
- Genetics 145
- Cell Biology 124
- Rheumatology 94
- Cancer Research 81
Countries citing papers authored by Laura Sipilä
This map shows the geographic impact of Laura Sipilä'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 Laura Sipilä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Sipilä more than expected).
Fields of papers citing papers by Laura Sipilä
This network shows the impact of papers produced by Laura Sipilä. 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 Laura Sipilä. The network helps show where Laura Sipilä may publish in the future.
Co-authorship network of co-authors of Laura Sipilä
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Sipilä. A scholar is included among the top collaborators of Laura Sipilä 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 Laura Sipilä. Laura Sipilä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 68 | |
| 3 | 83 | |
| 4 | Expression of lysyl hydroxylases and functions of lysyl hydroxylase 3 in mice | 7 |
| 5 | 33 | |
| 6 | 63 | |
| 7 | 99 | |
| 8 | 8 | |
| 9 | 46 |
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.