Erkki Kuusisto

1.5k citations
16 papers · 1.2k indexed · h-index 13
Topics
Sirtuins and Resveratrol in Medicine (4 papers)Alzheimer's disease research and treatments (3 papers)Parkinson's Disease Mechanisms and Treatments (3 papers)
Partner nations
FinlandUkraineGermany

In The Last Decade

Erkki Kuusisto

16 papers receiving 1.2k citations

Peers

Erkki Kuusisto
Comparison fields: 5 of 86
  • Molecular Biology 547
  • Epidemiology 456
  • Neurology 433
  • Physiology 273
  • Cell Biology 243
Replace Kahori Shiba with:
Kahori Shiba Japan
Sara Sáez-Atiénzar United States
Julia S. Schlehe United States
Agne Kazlauskaite United Kingdom
Yasushi Kitaoka Japan
Chandana Kondapalli United Kingdom
Yasunari Munemasa Japan
Shlomit Erlich Israel
Andrea Loreto United Kingdom
Hiroshi Maita Japan
Erkki Kuusisto relative to Kahori Shiba Japan Kahori Shiba's profile →
Citations per field
00.5×1.5×
Kahori Shiba · 1×
Citations per year

Countries citing papers authored by Erkki Kuusisto

Since Specialization
Citations

This map shows the geographic impact of Erkki Kuusisto'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 Erkki Kuusisto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erkki Kuusisto more than expected).

Fields of papers citing papers by Erkki Kuusisto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erkki Kuusisto. 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 Erkki Kuusisto. The network helps show where Erkki Kuusisto may publish in the future.

Co-authorship network of co-authors of Erkki Kuusisto

This figure shows the co-authorship network connecting the top 25 collaborators of Erkki Kuusisto. A scholar is included among the top collaborators of Erkki Kuusisto 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 Erkki Kuusisto. Erkki Kuusisto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1
p62/sequestosome 1 as a regulator of proteasome inhibitor-induced autophagy in human retinal pigment epithelial cells.
61
2
Elinympäristön altisteiden terveysvaikutukset Suomessa
2
3 115
4 20
5 83
6 42
7 37
8 30
9
Role of the p62 Protein in the Formation of Neuropathological Cytoplasmic Inclusions
14
10 219
11 174
12 292
13 25
14 114
15 7
16 10

About Erkki Kuusisto

Erkki Kuusisto is a scholar working on Geriatrics and Gerontology, Physiology and Neurology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (4 papers), Alzheimer's disease research and treatments (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Neurology (433 citations), Geriatrics and Gerontology (95 citations) and Physiology (73 citations). Erkki Kuusisto has collaborated with scholars based in Finland, Ukraine and Germany. Frequent co-authors include Irina Alafuzoff, Antero Salminen, Laura Parkkinen, Tiina Suuronen, Tarja Kauppinen, Sergiy Kyrylenko, Kai Kaarniranta, Kirsi Rilla, Tuomas Ryhänen and Juha M. T. Hyttinen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Journal of Neurochemistry.

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.

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