Viktoria Ruf

2.2k citations
47 papers · 786 indexed · 1 hit paper · h-index 15
Topics
Glioma Diagnosis and Treatment (17 papers)Parkinson's Disease Mechanisms and Treatments (14 papers)Alzheimer's disease research and treatments (7 papers)
Partner nations
GermanyFranceItaly

In The Last Decade

Viktoria Ruf

43 papers receiving 782 citations

Hit Papers

A quantitative Lewy-fold-specific alpha-synuclein seed am...2025202620254812

Peers

Viktoria Ruf
Comparison fields: 5 of 88
  • Neurology 279
  • Molecular Biology 222
  • Genetics 220
  • Physiology 176
  • Radiology, Nuclear Medicine and Imaging 168
Replace Ebrima Gibbs with:
Ebrima Gibbs Canada
Seong H. Park South Korea
Brandon Nichols United States
Julien Cassereau France
Stefan Pursche Germany
Masahito Ogasawara Japan
János Haskó Hungary
Ana Lúcia Abujamra Brazil
Kenji Mokuno Japan
Kyle Hurth United States
Viktoria Ruf relative to Ebrima Gibbs Canada Ebrima Gibbs's profile →
Citations per field
00.5×
Ebrima Gibbs · 1×
Citations per year

Countries citing papers authored by Viktoria Ruf

Since Specialization
Citations

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

Fields of papers citing papers by Viktoria Ruf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktoria Ruf

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
A quantitative Lewy-fold-specific alpha-synuclein seed amplification assay as a progression marker for Parkinson’s diseasebreakdown →
13
2 0
3 1
4 9
5 0
6 3
7 2
8 5
9 14
10 10
11 8
12 4
13 30
14 58
15 4
16 5
17 12
18 38
19 18
20 74

About Viktoria Ruf

Viktoria Ruf is a scholar working on Genetics, Neurology and Neurology, having authored 47 papers that have together received 786 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Parkinson's Disease Mechanisms and Treatments (14 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Genetics (220 citations), Neurology (279 citations) and Neurology (96 citations). Viktoria Ruf has collaborated with scholars based in Germany, France and Italy. Frequent co-authors include Armin Giese, Jochen Herms, Nathalie L. Albert, Marcus Unterrainer, Felix Schmidt, Frits Kamp, Peter Bartenstein, Song Shi, Andrei Leonov and Bogdana Suchorska. Their work appears in journals such as PLoS ONE, Neurology and Annals of Neurology.

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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