Sampo Mattila
- Molecular Biology
- Plant Science top 5%
- Pharmacology top 5%
- Biochemistry top 2%
- Pharmacology top 2%
- Co-authors
- Ari TolonenJuho HokkanenAnna Maria PirttiläMysore V. TejesviOlavi PelkonenKhaled AbassPetri ReponenMiia Turpeinen
- Topics
- Pharmacogenetics and Drug Metabolism (13 papers)Microbial Natural Products and Biosynthesis (6 papers)Drug Transport and Resistance Mechanisms (6 papers)
- Cited by
- BiochemistryPharmacology
- Partner nations
- FinlandUnited StatesDenmark
In The Last Decade
Sampo Mattila
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 555
- Plant Science 451
- Pharmacology 235
- Biochemistry 227
- Pharmacology 200
Countries citing papers authored by Sampo Mattila
This map shows the geographic impact of Sampo Mattila'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 Sampo Mattila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sampo Mattila more than expected).
Fields of papers citing papers by Sampo Mattila
This network shows the impact of papers produced by Sampo Mattila. 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 Sampo Mattila. The network helps show where Sampo Mattila may publish in the future.
Co-authorship network of co-authors of Sampo Mattila
This figure shows the co-authorship network connecting the top 25 collaborators of Sampo Mattila. A scholar is included among the top collaborators of Sampo Mattila 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 Sampo Mattila. Sampo Mattila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | Quantitative analysis of 4β- and 4α‑hydroxycholesterol in human plasma and serum by UHPLC/ESI-HR-MS B Analytical technologies in the biomedical and life sciences | 1 |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 27 | |
| 6 | 54 | |
| 7 | 74 | |
| 8 | 23 | |
| 9 | 20 | |
| 10 | 17 | |
| 11 | 83 | |
| 12 | 75 | |
| 13 | 27 | |
| 14 | 24 | |
| 15 | 18 | |
| 16 | 56 | |
| 17 | 56 | |
| 18 | Measurement and minimization of field inhomogeneities in high resolution NMR | 3 |
| 19 | 17 | |
| 20 | Primary non-differentiated sarcoma of the liver. Case report and review of the literature. | 8 |
About Sampo Mattila
Sampo Mattila is a scholar working on Pharmacology, Pharmacology and Oncology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Microbial Natural Products and Biosynthesis (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Biochemistry (227 citations), Pharmacology (200 citations) and Pharmacology (235 citations). Sampo Mattila has collaborated with scholars based in Finland, United States and Denmark. Frequent co-authors include Ari Tolonen, Juho Hokkanen, Anna Maria Pirttilä, Mysore V. Tejesvi, Olavi Pelkonen, Khaled Abass, Petri Reponen, Miia Turpeinen, Laura Jaakola and Anja Hohtola. Their work appears in journals such as Journal of Molecular Biology, Biochemistry and Journal of Virology.
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.