A. Hirvonen
- Molecular Biology
- Cancer Research top 10%
- Pharmacology top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Harri VainioKirsti Husgafvel‐PursiainenB KettererS. AnttilaJohn D. HayesChristine BouchardySimone BenhamouPierre Dayer
- Topics
- Glutathione Transferases and Polymorphisms (7 papers)Epigenetics and DNA Methylation (4 papers)Genomics, phytochemicals, and oxidative stress (3 papers)
- Partner nations
- FinlandFranceUnited States
In The Last Decade
A. Hirvonen
19 papers receiving 746 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 526
- Cancer Research 215
- Pharmacology 123
- Pulmonary and Respiratory Medicine 95
- Oncology 93
Countries citing papers authored by A. Hirvonen
This map shows the geographic impact of A. Hirvonen'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 A. Hirvonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Hirvonen more than expected).
Fields of papers citing papers by A. Hirvonen
This network shows the impact of papers produced by A. Hirvonen. 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 A. Hirvonen. The network helps show where A. Hirvonen may publish in the future.
Co-authorship network of co-authors of A. Hirvonen
This figure shows the co-authorship network connecting the top 25 collaborators of A. Hirvonen. A scholar is included among the top collaborators of A. Hirvonen 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 A. Hirvonen. A. Hirvonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | State of the art of genotype vs. phenotype studies | 1 |
| 3 | 10 | |
| 4 | 29 | |
| 5 | 1 | |
| 6 | Polymorphic GSTs and cancer predisposition | 8 |
| 7 | 56 | |
| 8 | 111 | |
| 9 | Role of arylamine N-acetyltransferase 1 and 2 (NAT1 and NAT2) genotypes in susceptibility to oral/pharyngeal and laryngeal cancers. | 28 |
| 10 | Polymorphic NATs and cancer predisposition. | 69 |
| 11 | 32 | |
| 12 | 3 | |
| 13 | Acidic urine pH is associated with elevated levels of free urinary benzidine and N-acetylbenzidine and urothelial cell DNA adducts in exposed workers. | 46 |
| 14 | 22 | |
| 15 | Inherited GSTM1 and NAT2 defects as concurrent risk modifiers in asbestos-related human malignant mesothelioma. | 85 |
| 16 | 59 | |
| 17 | 35 | |
| 18 | Immunohistochemical localization of glutathione S-transferases in human lung. | 137 |
| 19 | 32 |
About A. Hirvonen
A. Hirvonen is a scholar working on Pharmacology, Pharmaceutical Science and Rheumatology, having authored 19 papers that have together received 783 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (7 papers), Epigenetics and DNA Methylation (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Cancer Research (215 citations), Pharmacology (123 citations) and Molecular Biology (526 citations). A. Hirvonen has collaborated with scholars based in Finland, France and United States. Frequent co-authors include Harri Vainio, Kirsti Husgafvel‐Pursiainen, B Ketterer, S. Anttila, John D. Hayes, Christine Bouchardy, Simone Benhamou, Pierre Dayer, Kaija Linnainmaa and C. Coutelle. Their work appears in journals such as PLoS ONE, International Journal of Cancer and Annals of the Rheumatic Diseases.
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.