Maija Itälä
About
In The Last Decade
Maija Itälä
28 papers receiving 786 citations
Peers
Comparison fields: 5 of 65
- Genetics 426
- Pathology and Forensic Medicine 351
- Immunology 280
- Hematology 257
- Oncology 195
Countries citing papers authored by Maija Itälä
This map shows the geographic impact of Maija Itälä'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 Maija Itälä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maija Itälä more than expected).
Fields of papers citing papers by Maija Itälä
This network shows the impact of papers produced by Maija Itälä. 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 Maija Itälä. The network helps show where Maija Itälä may publish in the future.
Co-authorship network of co-authors of Maija Itälä
This figure shows the co-authorship network connecting the top 25 collaborators of Maija Itälä. A scholar is included among the top collaborators of Maija Itälä 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 Maija Itälä. Maija Itälä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 16 | |
| 3 | 13 | |
| 4 | 21 | |
| 5 | 22 | |
| 6 | 41 | |
| 7 | 41 | |
| 8 | 59 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 84 | |
| 14 | 33 | |
| 15 | 35 | |
| 16 | 29 | |
| 17 | 6 | |
| 18 | 8 | |
| 19 | 41 | |
| 20 | 66 |
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.