Per Nilsson

5.7k total citations · 3 hit papers
78 papers, 3.7k citations indexed

About

Per Nilsson is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Per Nilsson has authored 78 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Physiology, 33 papers in Molecular Biology and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Per Nilsson's work include Alzheimer's disease research and treatments (44 papers), Neuroscience and Neuropharmacology Research (14 papers) and Autophagy in Disease and Therapy (12 papers). Per Nilsson is often cited by papers focused on Alzheimer's disease research and treatments (44 papers), Neuroscience and Neuropharmacology Research (14 papers) and Autophagy in Disease and Therapy (12 papers). Per Nilsson collaborates with scholars based in Sweden, Japan and United States. Per Nilsson's co-authors include Takaomi C. Saido, Takashi Saito, Nobuhisa Iwata, Yukio Matsuba, Naomi Mihira, Jiro Takano, Shigeyoshi Itohara, Bengt Winblad, Anders Virtanen and Hiroki Sasaguri and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Nature Neuroscience.

In The Last Decade

Per Nilsson

73 papers receiving 3.7k citations

Hit Papers

Single App knock-in mouse models of Alzheimer's disease 2013 2026 2017 2021 2014 2017 2013 250 500 750
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.

  1. Single App knock-in mouse models of Alzheimer's disease
    2014 803 citations Takashi Saito, Yukio Matsuba et al. Nature Neuroscience profile →
  2. APP mouse models for Alzheimer's disease preclinical studies
    2017 500 citations Hiroki Sasaguri, Per Nilsson et al. The EMBO Journal profile →
  3. Aβ Secretion and Plaque Formation Depend on Autophagy
    2013 386 citations Per Nilsson, Yukio Matsuba et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Nilsson Sweden 29 2.1k 1.6k 796 701 488 78 3.7k
Fang Cai China 32 1.7k 0.8× 1.8k 1.1× 555 0.7× 905 1.3× 288 0.6× 91 4.2k
Annakaisa Haapasalo Finland 36 2.0k 0.9× 2.1k 1.3× 862 1.1× 1.4k 2.1× 511 1.0× 109 5.3k
Yong Shen United States 28 2.8k 1.3× 2.2k 1.4× 998 1.3× 1.5k 2.2× 332 0.7× 91 5.6k
Wayne W. Poon United States 34 2.5k 1.2× 2.2k 1.4× 1.1k 1.3× 1.3k 1.8× 189 0.4× 52 4.7k
Hyang‐Sook Hoe South Korea 32 1.4k 0.6× 1.5k 0.9× 620 0.8× 832 1.2× 192 0.4× 92 3.3k
Selina Wray United Kingdom 33 2.4k 1.1× 2.1k 1.3× 1.0k 1.3× 1.2k 1.7× 352 0.7× 75 4.7k
Takami Tomiyama Japan 32 2.9k 1.3× 1.5k 0.9× 610 0.8× 787 1.1× 181 0.4× 83 3.9k
Tiziana Borsello Italy 31 1.5k 0.7× 2.1k 1.4× 742 0.9× 1.2k 1.7× 248 0.5× 82 4.1k
Marcello D’Amelio Italy 39 1.4k 0.6× 1.9k 1.2× 737 0.9× 1.2k 1.8× 874 1.8× 90 4.7k
Yukio Matsuba Japan 14 1.6k 0.7× 841 0.5× 556 0.7× 493 0.7× 241 0.5× 25 2.3k

Countries citing papers authored by Per Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Per Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Nilsson

This figure shows the co-authorship network connecting the top 25 collaborators of Per Nilsson. A scholar is included among the top collaborators of Per Nilsson 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 Per Nilsson. Per Nilsson 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
1.
2.
Geley, Stephan, et al.. (2024). Inhibition of Autophagy Alters Intracellular Transport of  APP Resulting in Increased APP Processing. Traffic. 25(4). e12934–e12934. 2 indexed citations
3.
Shimozawa, Makoto, Per Nilsson, Alexey E. Lyashkov, et al.. (2023). Identification of glycolytic proteins as binding partners of Bri2 BRICHOS domain. Journal of Pharmaceutical and Biomedical Analysis. 232. 115465–115465.
4.
Gustavsson, Tobias, Nicole G. Metzendorf, Sahar Roshanbin, et al.. (2023). Long-term effects of immunotherapy with a brain penetrating Aβ antibody in a mouse model of Alzheimer’s disease. Alzheimer s Research & Therapy. 15(1). 90–90. 19 indexed citations
5.
Gaudio, Francesca Del, Hao Li, Weihan Li, et al.. (2023). A robust and efficient microvascular isolation method for multimodal characterization of the mouse brain vasculature. Cell Reports Methods. 3(3). 100431–100431. 8 indexed citations
6.
Arroyo‐García, Luis Enrique, Khanh Do, Bokkyoo Jun, et al.. (2022). Intranasal delivery of pro-resolving lipid mediators rescues memory and gamma oscillation impairment in AppNL-G-F/NL-G-F mice. Communications Biology. 5(1). 245–245. 33 indexed citations
7.
Enache, Daniela, Simone Tambaro, Cristina Rosell‐Valle, et al.. (2022). Translational potential of synaptic alterations in Alzheimer’s disease patients and amyloid precursor protein knock-in mice. Brain Communications. 5(1). fcad001–fcad001. 3 indexed citations
8.
Arroyo‐García, Luis Enrique, Yuniesky Andrade‐Talavera, Hugo Balleza‐Tapia, et al.. (2021). Impaired spike-gamma coupling of area CA3 fast-spiking interneurons as the earliest functional impairment in the AppNL-G-F mouse model of Alzheimer’s disease. Molecular Psychiatry. 26(10). 5557–5567. 41 indexed citations
9.
Reyes, Juan F., Sara Ekmark‐Lewén, Μarina Perdiki, et al.. (2021). Accumulation of alpha-synuclein within the liver, potential role in the clearance of brain pathology associated with Parkinson’s disease. Acta Neuropathologica Communications. 9(1). 46–46. 34 indexed citations
10.
Smailović, Una, Ingemar Kåreholt, Thomas Koenig, et al.. (2021). Synaptic Molecular and Neurophysiological Markers Are Independent Predictors of Progression in Alzheimer’s Disease. Journal of Alzheimer s Disease. 83(1). 355–366. 2 indexed citations
11.
Pravin, Narayanaperumal, Rakesh Kumar, Shalini Tripathi, et al.. (2020). Benzimidazole‐based fluorophores for the detection of amyloid fibrils with higher sensitivity than Thioflavin‐T. Journal of Neurochemistry. 156(6). 1003–1019. 13 indexed citations
12.
Leal, Nuno Santos, Giacomo Dentoni, Bernadette Schreiner, et al.. (2020). Amyloid β-Peptide Increases Mitochondria-Endoplasmic Reticulum Contact Altering Mitochondrial Function and Autophagosome Formation in Alzheimer’s Disease-Related Models. Cells. 9(12). 2552–2552. 56 indexed citations
13.
Lendahl, Urban, Per Nilsson, & Christer Betsholtz. (2019). Emerging links between cerebrovascular and neurodegenerative diseases—a special role for pericytes. EMBO Reports. 20(11). e48070–e48070. 101 indexed citations
14.
Tambaro, Simone, Axel Leppert, Gefei Chen, et al.. (2019). Blood–brain and blood–cerebrospinal fluid passage of BRICHOS domains from two molecular chaperones in mice. Journal of Biological Chemistry. 294(8). 2606–5220. 16 indexed citations
15.
Sasaguri, Hiroki, Per Nilsson, Shoko Hashimoto, et al.. (2017). APP mouse models for Alzheimer's disease preclinical studies. The EMBO Journal. 36(17). 2473–2487. 500 indexed citations breakdown →
16.
Saito, Takashi, Yukio Matsuba, Naomi Mihira, et al.. (2014). Single App knock-in mouse models of Alzheimer's disease. Nature Neuroscience. 17(5). 661–663. 803 indexed citations breakdown →
17.
18.
Saito, Takashi, Takahiro Suemoto, Nathalie Brouwers, et al.. (2011). Potent amyloidogenicity and pathogenicity of Aβ43. Nature Neuroscience. 14(8). 1023–1032. 222 indexed citations
19.
Wu, Mousheng, Per Nilsson, Anna Niedźwiecka, et al.. (2009). Structural Basis of m7GpppG Binding to Poly(A)-Specific Ribonuclease. Structure. 17(2). 276–286. 51 indexed citations
20.
Nilsson, Per, Lars Gedda, Anna Sjöström, Qinghai Zhao, & Jörgen Carlsson. (1997). Penetration and Binding of EGF-Dextran Conjugates in Cultured-Cell Spheroids. European Journal of Cell Biology. 74. 118–118. 1 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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