Katarina Willén

531 total citations
8 papers, 345 citations indexed

About

Katarina Willén is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Katarina Willén has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Katarina Willén's work include Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cellular transport and secretion (2 papers). Katarina Willén is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cellular transport and secretion (2 papers). Katarina Willén collaborates with scholars based in Sweden, United Kingdom and Japan. Katarina Willén's co-authors include Gunnar K. Gouras, James R. Edgar, Clare E. Futter, Mathilde Faideau, Davide Tampellini, Nobuyuki Tanaka, Isak Martinsson, Takafumi Hasegawa, Josep Cladera and Christopher J.R. Dunning and has published in prestigious journals such as Nature Communications, Journal of Cell Science and Life Sciences.

In The Last Decade

Katarina Willén

8 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katarina Willén Sweden	8	240	152	78	61	55	8	345
Marty A. Fernandez United States	9	252 1.1×	222 1.5×	65 0.8×	51 0.8×	31 0.6×	10	415
Haoling Qi France	8	279 1.2×	263 1.7×	51 0.7×	86 1.4×	61 1.1×	9	429
Clément Despres France	8	236 1.0×	263 1.7×	50 0.6×	57 0.9×	45 0.8×	10	408
Kim Bruggink Netherlands	6	212 0.9×	179 1.2×	64 0.8×	35 0.6×	39 0.7×	8	340
Hyun-ju Lee South Korea	10	138 0.6×	139 0.9×	49 0.6×	46 0.8×	141 2.6×	15	413
Jason C. Sang United Kingdom	10	200 0.8×	196 1.3×	48 0.6×	47 0.8×	46 0.8×	13	384
Keiichi Shibagaki Japan	8	201 0.8×	226 1.5×	74 0.9×	55 0.9×	156 2.8×	9	488
С. В. Саранцева Russia	12	135 0.6×	120 0.8×	49 0.6×	71 1.2×	23 0.4×	57	412
Melissa Huang United Kingdom	4	277 1.2×	231 1.5×	28 0.4×	35 0.6×	55 1.0×	5	394
Annemieke T. van der Goot Netherlands	6	152 0.6×	293 1.9×	123 1.6×	78 1.3×	22 0.4×	6	608

Countries citing papers authored by Katarina Willén

Since Specialization

Citations

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

Fields of papers citing papers by Katarina Willén

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarina Willén

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

All Works

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8 of 8 papers shown

Martinsson, Isak, Estibaliz Capetillo‐Zarate, Mathilde Faideau, et al.. (2019). APP depletion alters selective pre- and post-synaptic proteins. Molecular and Cellular Neuroscience. 95. 86–95. 23 indexed citations

Willén, Katarina, Agnieszka Sroka-Oleksiak, Reisuke H. Takahashi, & Gunnar K. Gouras. (2017). Heterogeneous Association of Alzheimer’s Disease-Linked Amyloid-β and Amyloid-β Protein Precursor with Synapses. Journal of Alzheimer s Disease. 60(2). 511–524. 20 indexed citations

Klementieva, Oxana, Katarina Willén, Isak Martinsson, et al.. (2017). Pre-plaque conformational changes in Alzheimer’s disease-linked Aβ and APP. Nature Communications. 8(1). 14726–14726. 66 indexed citations

Willén, Katarina, James R. Edgar, Takafumi Hasegawa, et al.. (2017). Aβ accumulation causes MVB enlargement and is modelled by dominant negative VPS4A. Molecular Neurodegeneration. 12(1). 61–61. 65 indexed citations

Edgar, James R., Katarina Willén, Gunnar K. Gouras, & Clare E. Futter. (2015). ESCRTs regulate amyloid precursor protein sorting in multivesicular bodies and intracellular beta amyloid accumulation. Journal of Cell Science. 128(14). 2520–8. 58 indexed citations

Dunning, Christopher J.R., et al.. (2015). Direct High Affinity Interaction between Aβ42 and GSK3α Stimulates Hyperphosphorylation of Tau. A New Molecular Link in Alzheimer’s Disease?. ACS Chemical Neuroscience. 7(2). 161–170. 47 indexed citations

Gouras, Gunnar K., Katarina Willén, & Mathilde Faideau. (2013). The Inside-Out Amyloid Hypothesis and Synapse Pathology in Alzheimer's Disease. Neurodegenerative Diseases. 13(2-3). 142–146. 31 indexed citations

Gouras, Gunnar K., Katarina Willén, & Davide Tampellini. (2012). Critical role of intraneuronal Aβ in Alzheimer's disease: Technical challenges in studying intracellular Aβ. Life Sciences. 91(23-24). 1153–1158. 35 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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