Marja K. Pasanen
- Oncology top 2%
- Pharmacology top 0.2%
- Surgery top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Molecular Biology
- Co-authors
- Pertti J. NeuvonenMikko NiemiMikko NeuvonenJanne T. BackmanJenni E. KeskitaloAleksi TornioA. J. JounelaM. J. Mattila
- Topics
- Drug Transport and Resistance Mechanisms (11 papers)Pharmacological Effects and Toxicity Studies (6 papers)Pharmacogenetics and Drug Metabolism (6 papers)
In The Last Decade
Marja K. Pasanen
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Oncology 1.2k
- Pharmacology 754
- Surgery 699
- Pediatrics, Perinatology and Child Health 577
- Molecular Biology 273
Countries citing papers authored by Marja K. Pasanen
This map shows the geographic impact of Marja K. Pasanen'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 Marja K. Pasanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marja K. Pasanen more than expected).
Fields of papers citing papers by Marja K. Pasanen
This network shows the impact of papers produced by Marja K. Pasanen. 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 Marja K. Pasanen. The network helps show where Marja K. Pasanen may publish in the future.
Co-authorship network of co-authors of Marja K. Pasanen
This figure shows the co-authorship network connecting the top 25 collaborators of Marja K. Pasanen. A scholar is included among the top collaborators of Marja K. Pasanen 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 Marja K. Pasanen. Marja K. Pasanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Organic Anion Transporting Polypeptide 1B1: a Genetically Polymorphic Transporter of Major Importance for Hepatic Drug Uptakebreakdown → | 490 |
| 2 | 49 | |
| 3 | 144 | |
| 4 | 30 | |
| 5 | Pharmacogenetics of SLCO1B1 : Population genetics and effect on statins | 2 |
| 6 | 339 | |
| 7 | 146 | |
| 8 | 199 | |
| 9 | 356 | |
| 10 | 107 | |
| 11 | 89 | |
| 12 | 70 | |
| 13 | 31 | |
| 14 | Prognostic indicators in burned patients. | 2 |
| 15 | Outcome and risk factors in severely traumatised patients. | 6 |
| 16 | 36 |
About Marja K. Pasanen
Marja K. Pasanen is a scholar working on Pharmacology, Oncology and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (11 papers), Pharmacological Effects and Toxicity Studies (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Pharmacology (754 citations), Oncology (1.2k citations) and Pediatrics, Perinatology and Child Health (577 citations). Marja K. Pasanen has collaborated with scholars based in Finland and Germany. Frequent co-authors include Pertti J. Neuvonen, Mikko Niemi, Mikko Neuvonen, Janne T. Backman, Jenni E. Keskitalo, Aleksi Tornio, A. J. Jounela, M. J. Mattila, Jouko Laitila and Kari T. Kivistö. Their work appears in journals such as Pharmacological Reviews, Clinical Pharmacology & Therapeutics and European Journal of Clinical Pharmacology.
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.