Anna H. Hakonen
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
-
- Genetic Neurodegenerative Diseases
Papers in
-
- Mitochondrial Function and Pathology 10
- Ubiquitin and proteasome pathways 2
-
- Metabolism and Genetic Disorders 6
- Co-authors
- Anu Suomalainen (9 shared papers)Anders Paetau (8 shared papers)Tuula Lönnqvist (4 shared papers)Pirjo Isohanni (4 shared papers)Petri Luoma (2 shared papers)Riitta Herva (1 shared paper)Laurence A. Bindoff (2 shared papers)Gert Van Goethem (2 shared papers)
In The Last Decade
Anna H. Hakonen
16 papers receiving 790 citations
Peers
Comparison fields: 5 of 52
- Clinical Biochemistry 355
- Cellular and Molecular Neuroscience 189
- Molecular Biology 652
- Neurology 77
- Neurology 42
Countries citing papers authored by Anna H. Hakonen
This map shows the geographic impact of Anna H. Hakonen'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 Anna H. Hakonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna H. Hakonen more than expected).
Fields of papers citing papers by Anna H. Hakonen
This network shows the impact of papers produced by Anna H. Hakonen. 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 Anna H. Hakonen. The network helps show where Anna H. Hakonen may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna H. Hakonen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 229 | |
| 2 | 2007 | 145 | |
| 3 | 2007 | 113 | |
| 4 | 2008 | 94 | |
| 5 | 2007 | 60 | |
| 6 | 2018 | 56 | |
| 7 | 2011 | 39 | |
| 8 | 2018 | 16 | |
| 9 | 2011 | 14 | |
| 10 | [Mitochondrial recessive ataxia syndrome (MIRAS) and valproate toxicity]. | 2010 | 11 |
| 11 | 2019 | 9 | |
| 12 | Mitokondriaalinen resessiivinen ataksiasyndrooma ja valproaattihoidon toksisuus | 2010 | 9 |
| 13 | 2020 | 5 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 |
About Anna H. Hakonen
Anna H. Hakonen is a scholar working on Molecular Biology, Clinical Biochemistry, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 16 papers that have together received 803 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Metabolism and Genetic Disorders (6 papers), Genetic Neurodegenerative Diseases (5 papers), Genomics and Rare Diseases (2 papers), Ubiquitin and proteasome pathways (2 papers), Epilepsy research and treatment (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (355 citations), Cellular and Molecular Neuroscience (189 citations), Molecular Biology (652 citations), Neurology (77 citations) and Neurology (42 citations). Anna H. Hakonen has collaborated with scholars based in Finland, Norway and Belgium. Frequent co-authors include Anu Suomalainen, Anders Paetau, Tuula Lönnqvist, Pirjo Isohanni, Petri Luoma, Riitta Herva, Laurence A. Bindoff, Gert Van Goethem, Sofia Ahola and Bjarne Udd. Their work appears in journals such as Neurology, Scientific Reports, Clinical Genetics, Brain and European Journal of Human Genetics.
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.