Minna Hendolin
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 3
-
- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Arturo Chiti (1 shared paper)Mark J. Caulfield (1 shared paper)Christine Chomienne (1 shared paper)Denis Horgan (1 shared paper)Allan K. Hackshaw (1 shared paper)D. Kalra (1 shared paper)Biruté Tumiene (1 shared paper)Bettina Borisch (1 shared paper)
- Journals
- Nature Communications (4 papers)European Journal of Human Genetics (1 paper)International Journal of Environmental Research and Public Health (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Minna Hendolin
7 papers receiving 2.1k citations
Minna Hendolin's Hit Papers
Peers
Comparison fields: 5 of 88
- Physiology 871
- Psychiatry and Mental health 497
- Neurology 197
- Ophthalmology 236
- Genetics 456
Countries citing papers authored by Minna Hendolin
This map shows the geographic impact of Minna Hendolin'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 Minna Hendolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minna Hendolin more than expected).
Fields of papers citing papers by Minna Hendolin
This network shows the impact of papers produced by Minna Hendolin. 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 Minna Hendolin. The network helps show where Minna Hendolin may publish in the future.
Co-authors
The 10 scholars most cited alongside Minna Hendolin, 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 | New insights into the genetic etiology of Alzheimer’s disease and related dementias Hit paper breakdown → | 2022 | 1531 |
| 2 | Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries Hit paper breakdown → | 2021 | 276 |
| 3 | 2019 | 140 | |
| 4 | 2020 | 114 | |
| 5 | 2021 | 22 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 9 |
About Minna Hendolin
Minna Hendolin is a scholar working on Genetics, Health Informatics, Health Information Management, Ophthalmology and Psychiatry and Mental health, having authored 7 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Electronic Health Records Systems (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Glaucoma and retinal disorders (1 paper), Alzheimer's disease research and treatments (1 paper), Dementia and Cognitive Impairment Research (1 paper), Pharmaceutical Economics and Policy (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Physiology (871 citations), Psychiatry and Mental health (497 citations), Neurology (197 citations), Ophthalmology (236 citations) and Genetics (456 citations). Minna Hendolin has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Arturo Chiti, Mark J. Caulfield, Christine Chomienne, Denis Horgan, Allan K. Hackshaw, D. Kalra, Biruté Tumiene, Bettina Borisch, Karen M. Facey and Amanda Cole. Their work appears in journals such as Nature Communications, European Journal of Human Genetics, International Journal of Environmental Research and Public Health and Nature 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.