Pekka Taimen
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cell Biology top 5%
- Oncology top 10%
- Co-authors
- Peter J. BoströmIvan JamborTakeshi ShimiRobert D. GoldmanStephen A. AdamMarkku KallajokiHannu J. AronenHarri Merisaari
- Topics
- Prostate Cancer Diagnosis and Treatment (52 papers)Prostate Cancer Treatment and Research (42 papers)Nuclear Structure and Function (20 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Pekka Taimen
118 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.2k
- Pulmonary and Respiratory Medicine 1.0k
- Radiology, Nuclear Medicine and Imaging 744
- Cell Biology 334
- Oncology 321
Countries citing papers authored by Pekka Taimen
This map shows the geographic impact of Pekka Taimen'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 Pekka Taimen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pekka Taimen more than expected).
Fields of papers citing papers by Pekka Taimen
This network shows the impact of papers produced by Pekka Taimen. 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 Pekka Taimen. The network helps show where Pekka Taimen may publish in the future.
Co-authorship network of co-authors of Pekka Taimen
This figure shows the co-authorship network connecting the top 25 collaborators of Pekka Taimen. A scholar is included among the top collaborators of Pekka Taimen 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 Pekka Taimen. Pekka Taimen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 24 | |
| 16 | 15 | |
| 17 | Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions | 1 |
| 18 | 19 | |
| 19 | 134 | |
| 20 | 36 |
About Pekka Taimen
Pekka Taimen is a scholar working on Pulmonary and Respiratory Medicine, Urology and Rheumatology, having authored 124 papers that have together received 2.8k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (52 papers), Prostate Cancer Treatment and Research (42 papers) and Nuclear Structure and Function (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (744 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Health Informatics (32 citations). Pekka Taimen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Peter J. Boström, Ivan Jambor, Takeshi Shimi, Robert D. Goldman, Stephen A. Adam, Markku Kallajoki, Hannu J. Aronen, Harri Merisaari, Thomas Dechat and M. Pesola. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.