Satu Pekkala
About
In The Last Decade
Satu Pekkala
48 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.0k
- Physiology 933
- Epidemiology 327
- Rehabilitation 188
- Cell Biology 182
Countries citing papers authored by Satu Pekkala
This map shows the geographic impact of Satu Pekkala'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 Satu Pekkala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satu Pekkala more than expected).
Fields of papers citing papers by Satu Pekkala
This network shows the impact of papers produced by Satu Pekkala. 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 Satu Pekkala. The network helps show where Satu Pekkala may publish in the future.
Co-authorship network of co-authors of Satu Pekkala
This figure shows the co-authorship network connecting the top 25 collaborators of Satu Pekkala. A scholar is included among the top collaborators of Satu Pekkala 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 Satu Pekkala. Satu Pekkala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 37 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 48 | |
| 15 | 12 | |
| 16 | 67 | |
| 17 | 46 | |
| 18 | 44 | |
| 19 | 33 | |
| 20 | 53 |
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.