Petra Pasanen

834 total citations · 1 hit paper
8 papers, 611 citations indexed

About

Petra Pasanen is a scholar working on Neurology, Genetics and Molecular Biology. According to data from OpenAlex, Petra Pasanen has authored 8 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Petra Pasanen's work include Genetics and Neurodevelopmental Disorders (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Genomics and Rare Diseases (2 papers). Petra Pasanen is often cited by papers focused on Genetics and Neurodevelopmental Disorders (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Genomics and Rare Diseases (2 papers). Petra Pasanen collaborates with scholars based in Finland, Sweden and United Kingdom. Petra Pasanen's co-authors include Liisa Myllykangas, Minna Pöyhönen, Maija Siitonen, Pentti J. Tienari, Anders Paetau, Seppo Kaakkola, Anna Raunio, Jukka Lyytinen, Marc Baumann and Matti Viitanen and has published in prestigious journals such as Neurobiology of Aging, Journal of Alzheimer s Disease and Brain Pathology.

In The Last Decade

Petra Pasanen

8 papers receiving 604 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A novel α-synuclein mutation A53E associated with atypical multiple system atrophy and Parkinson's disease-type pathology

2014 413 citations Petra Pasanen, Liisa Myllykangas et al. Neurobiology of Aging profile →

Peers

Petra Pasanen

NEURO

PHYSI

CMN

NEURO

MB

Maija Siitonen Finland

Anna Sailer United Kingdom

Makio Takahashi Japan

Yah‐Huei Wu‐Chou Taiwan

Misuzu Saiki Japan

Zygmunt Jamrozik Poland

Gavin Charlesworth United Kingdom

Yacen Hu China

S. A. Klyushnikov Russia

Núria Setó‐Salvia United Kingdom

Maija Siitonen Finland

Petra Pasanen

520 ×1.0

NEURO

181 ×1.0

PHYSI

172 ×0.9

CMN

139 ×1.0

NEURO

120 ×0.9

MB

Citations per year, relative to Petra Pasanen Petra Pasanen (= 1×) peers Maija Siitonen

Countries citing papers authored by Petra Pasanen

Since Specialization

Citations

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

Fields of papers citing papers by Petra Pasanen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Pasanen

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Kaivola, Karri, Hannu Laaksovirta, Manu Jokela, et al.. (2019). Oligogenic basis of sporadic ALS. Neurology Genetics. 5(3). e335–e335. 15 indexed citations

2.

Pasanen, Petra, Liisa Myllykangas, Minna Pöyhönen, et al.. (2018). Genetics of dementia in a Finnish cohort. European Journal of Human Genetics. 26(6). 827–837. 7 indexed citations

3.

Pasanen, Petra, Eino Palin, Minna Pöyhönen, et al.. (2016). SNCA mutation p.Ala53Glu is derived from a common founder in the Finnish population. Neurobiology of Aging. 50. 168.e5–168.e8. 8 indexed citations

4.

Pasanen, Petra, Jussi Mäkinen, Liisa Myllykangas, et al.. (2016). Primary familial brain calcification linked to deletion of 5’ noncoding region of SLC20A2. Acta Neurologica Scandinavica. 136(1). 59–63. 11 indexed citations

5.

Pöyhönen, Minna, Petra Pasanen, Maija Siitonen, et al.. (2016). A Novel Loss-of-Function GRN Mutation p.(Tyr229*): Clinical and Neuropathological Features. Journal of Alzheimer s Disease. 55(3). 1167–1174. 3 indexed citations

6.

Pasanen, Petra, Liisa Myllykangas, Minna Pöyhönen, et al.. (2015). Intrafamilial clinical variability in individuals carrying theCHCHD10mutation Gly66Val. Acta Neurologica Scandinavica. 133(5). 361–366. 20 indexed citations

7.

Pasanen, Petra, Liisa Myllykangas, Maija Siitonen, et al.. (2014). A novel α-synuclein mutation A53E associated with atypical multiple system atrophy and Parkinson's disease-type pathology. Neurobiology of Aging. 35(9). 2180.e1–2180.e5. 413 indexed citations breakdown →

8.

Tikka, Saara, Marc Baumann, Maija Siitonen, et al.. (2014). CADASIL and CARASIL. Brain Pathology. 24(5). 525–544. 134 indexed citations

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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