Niilo T. Kärki
- Pharmacology top 0.5%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Cancer Research top 10%
- Oncology
- Co-authors
- Olavi PelkonenJorma T. AhokasT. K. I. LarmiP. ArvelaM. K. PaasonenPentti JouppilaJuha‐Matti SavolaJuhani Puurunen
- Topics
- Pharmacogenetics and Drug Metabolism (21 papers)Drug Transport and Resistance Mechanisms (11 papers)Eicosanoids and Hypertension Pharmacology (6 papers)
- Partner nations
- FinlandAustraliaUnited Kingdom
In The Last Decade
Niilo T. Kärki
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Pharmacology 484
- Molecular Biology 336
- Health, Toxicology and Mutagenesis 227
- Cancer Research 184
- Oncology 181
Countries citing papers authored by Niilo T. Kärki
This map shows the geographic impact of Niilo T. Kärki'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 Niilo T. Kärki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niilo T. Kärki more than expected).
Fields of papers citing papers by Niilo T. Kärki
This network shows the impact of papers produced by Niilo T. Kärki. 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 Niilo T. Kärki. The network helps show where Niilo T. Kärki may publish in the future.
Co-authorship network of co-authors of Niilo T. Kärki
This figure shows the co-authorship network connecting the top 25 collaborators of Niilo T. Kärki. A scholar is included among the top collaborators of Niilo T. Kärki 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 Niilo T. Kärki. Niilo T. Kärki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Hepatic drug metabolism and the activities of NADPH generating enzymes and glucose-6-phosphatase in phenobarbital treated genetically obese (ob/ob) mice. | 7 |
| 2 | 5 | |
| 3 | 49 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | Characterization of benzo(a)pyrene hydroxylase of trout liver. | 50 |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 2 | |
| 13 | 23 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 23 | |
| 17 | 23 | |
| 18 | Effects of maternal intake of pheno barbital and cigarette smoking on drug metabolism in human fetal liver and placenta | 1 |
| 19 | 3 | |
| 20 | 6 |
About Niilo T. Kärki
Niilo T. Kärki is a scholar working on Pharmacology, Biochemistry and Health, Toxicology and Mutagenesis, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (21 papers), Drug Transport and Resistance Mechanisms (11 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). The work is most often cited by research in Pharmacology (484 citations), Health, Toxicology and Mutagenesis (227 citations) and Clinical Biochemistry (103 citations). Niilo T. Kärki has collaborated with scholars based in Finland, Australia and United Kingdom. Frequent co-authors include Olavi Pelkonen, Jorma T. Ahokas, T. K. I. Larmi, P. Arvela, M. K. Paasonen, Pentti Jouppila, Juha‐Matti Savola, Juhani Puurunen, Heikki Ruskoaho and Kirsi Vähäkangas. Their work appears in journals such as Nature, The Lancet and The Journal of Physiology.
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.