Rebekka Wittrahm

638 total citations · 1 hit paper
7 papers, 461 citations indexed

About

Rebekka Wittrahm is a scholar working on Neurology, Physiology and Neurology. According to data from OpenAlex, Rebekka Wittrahm has authored 7 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 6 papers in Physiology and 2 papers in Neurology. Recurrent topics in Rebekka Wittrahm's work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Rebekka Wittrahm is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Rebekka Wittrahm collaborates with scholars based in Finland, Germany and Iran. Rebekka Wittrahm's co-authors include Mari Takalo, Annakaisa Haapasalo, Mikael Marttinen, Mikko Hiltunen, Teemu Natunen, Susanna Kemppainen, Sami Gabbouj, Henna Martiskainen, Simo Ryhänen and Heikki Tanila and has published in prestigious journals such as Neurobiology of Aging, Cells and Frontiers in Neuroscience.

In The Last Decade

Rebekka Wittrahm

7 papers receiving 458 citations

Hit Papers

Altered Insulin Signaling in Alzheimer’s Disease Brain – ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rebekka Wittrahm Finland 6 239 177 132 77 57 7 461
Ana‐Caroline Raulin United States 6 268 1.1× 176 1.0× 123 0.9× 41 0.5× 59 1.0× 8 514
Cristina Gussago Italy 15 194 0.8× 180 1.0× 133 1.0× 79 1.0× 73 1.3× 27 574
Dolors Puigoriol‐Illamola Spain 11 181 0.8× 176 1.0× 108 0.8× 63 0.8× 67 1.2× 14 484
Ivica Granic Netherlands 9 194 0.8× 174 1.0× 130 1.0× 89 1.2× 126 2.2× 12 496
Cynthia Linares United States 4 382 1.6× 161 0.9× 173 1.3× 71 0.9× 94 1.6× 4 544
Cynthia Picard Canada 11 215 0.9× 169 1.0× 99 0.8× 36 0.5× 32 0.6× 35 440
Hengbing Zu China 13 158 0.7× 199 1.1× 124 0.9× 40 0.5× 48 0.8× 29 455
Ian Weidling United States 10 255 1.1× 312 1.8× 78 0.6× 45 0.6× 55 1.0× 15 491
Mikael Marttinen Finland 12 344 1.4× 320 1.8× 187 1.4× 88 1.1× 115 2.0× 21 760
Inge Tomic Germany 10 387 1.6× 256 1.4× 163 1.2× 77 1.0× 77 1.4× 12 639

Countries citing papers authored by Rebekka Wittrahm

Since Specialization
Citations

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

Fields of papers citing papers by Rebekka Wittrahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebekka Wittrahm

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

All Works

7 of 7 papers shown
1.
Leskelä, Stina, Dorit Hoffmann, Nadine Huber, et al.. (2021). FTLD Patient–Derived Fibroblasts Show Defective Mitochondrial Function and Accumulation of p62. Molecular Neurobiology. 58(11). 5438–5458. 7 indexed citations
2.
Wittrahm, Rebekka, Mari Takalo, Mikael Marttinen, et al.. (2021). MECP2 Increases the Pro-Inflammatory Response of Microglial Cells and Phosphorylation at Serine 423 Regulates Neuronal Gene Expression upon Neuroinflammation. Cells. 10(4). 860–860. 10 indexed citations
3.
Takalo, Mari, Rebekka Wittrahm, Benedikt Wefers, et al.. (2020). The Alzheimer’s disease-associated protective Plcγ2-P522R variant promotes immune functions. Molecular Neurodegeneration. 15(1). 52–52. 53 indexed citations
4.
Leskelä, Stina, Ali Abdollahzadeh, Rebekka Wittrahm, et al.. (2020). BV-2 Microglial Cells Overexpressing C9orf72 Hexanucleotide Repeat Expansion Produce DPR Proteins and Show Normal Functionality but No RNA Foci. Frontiers in Neurology. 11. 550140–550140. 2 indexed citations
5.
Gabbouj, Sami, Simo Ryhänen, Mikael Marttinen, et al.. (2019). Altered Insulin Signaling in Alzheimer’s Disease Brain – Special Emphasis on PI3K-Akt Pathway. Frontiers in Neuroscience. 13. 629–629. 300 indexed citations breakdown →
6.
Marttinen, Mikael, Mari Takalo, Teemu Natunen, et al.. (2018). Molecular Mechanisms of Synaptotoxicity and Neuroinflammation in Alzheimer’s Disease. Frontiers in Neuroscience. 12. 963–963. 66 indexed citations
7.
Gabbouj, Sami, Teemu Natunen, Hennariikka Koivisto, et al.. (2018). Intranasal insulin activates Akt2 signaling pathway in the hippocampus of wild-type but not in APP/PS1 Alzheimer model mice. Neurobiology of Aging. 75. 98–108. 23 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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