Jukka Pitkänen
About
In The Last Decade
Jukka Pitkänen
8 papers receiving 673 citations
Peers
Comparison fields: 5 of 54
- Endocrinology, Diabetes and Metabolism 384
- Immunology 322
- Genetics 237
- Molecular Biology 121
- Oncology 83
Countries citing papers authored by Jukka Pitkänen
This map shows the geographic impact of Jukka Pitkänen'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 Jukka Pitkänen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jukka Pitkänen more than expected).
Fields of papers citing papers by Jukka Pitkänen
This network shows the impact of papers produced by Jukka Pitkänen. 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 Jukka Pitkänen. The network helps show where Jukka Pitkänen may publish in the future.
Co-authorship network of co-authors of Jukka Pitkänen
This figure shows the co-authorship network connecting the top 25 collaborators of Jukka Pitkänen. A scholar is included among the top collaborators of Jukka Pitkänen 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 Jukka Pitkänen. Jukka Pitkänen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 90 | |
| 2 | 54 | |
| 3 | 56 | |
| 4 | 71 | |
| 5 | 97 | |
| 6 | 19 | |
| 7 | 107 | |
| 8 | 188 |
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.