Marcus Davidsson

2.0k total citations
35 papers, 403 citations indexed

About

Marcus Davidsson is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marcus Davidsson has authored 35 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marcus Davidsson's work include CRISPR and Genetic Engineering (11 papers), Virus-based gene therapy research (10 papers) and RNA Interference and Gene Delivery (7 papers). Marcus Davidsson is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Virus-based gene therapy research (10 papers) and RNA Interference and Gene Delivery (7 papers). Marcus Davidsson collaborates with scholars based in Sweden, United States and United Kingdom. Marcus Davidsson's co-authors include Tomas Björklund, Patrick Aldrin-Kirk, Andreas Heuer, Malin Parmar, Tiago Cardoso, Sara Nolbrant, Gang Wang, Gang Wang, Fredric P. Manfredsson and Daniella Rylander Ottosson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marcus Davidsson

30 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus Davidsson Sweden 11 241 132 109 73 30 35 403
Tadataka Kawakami Japan 5 162 0.7× 134 1.0× 116 1.1× 83 1.1× 36 1.2× 15 343
Giridhar Murlidharan United States 7 230 1.0× 194 1.5× 92 0.8× 34 0.5× 14 0.5× 11 375
Gianluca Verlengia Italy 12 255 1.1× 175 1.3× 118 1.1× 36 0.5× 18 0.6× 16 446
Enni Lehtonen Belgium 7 295 1.2× 259 2.0× 140 1.3× 41 0.6× 29 1.0× 9 450
Leon Tejwani United States 8 323 1.3× 102 0.8× 77 0.7× 27 0.4× 69 2.3× 14 492
David Goertsen United States 4 232 1.0× 164 1.2× 67 0.6× 15 0.2× 20 0.7× 4 355
Cylia Rochat Switzerland 6 212 0.9× 41 0.3× 56 0.5× 51 0.7× 56 1.9× 8 419
Weili Yang China 7 399 1.7× 134 1.0× 57 0.5× 55 0.8× 34 1.1× 8 482
Delphine Bouteiller France 11 166 0.7× 162 1.2× 93 0.9× 127 1.7× 12 0.4× 19 601
Maila Giannandrea Italy 8 164 0.7× 107 0.8× 129 1.2× 126 1.7× 39 1.3× 8 384

Countries citing papers authored by Marcus Davidsson

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Davidsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Davidsson

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Davidsson. A scholar is included among the top collaborators of Marcus Davidsson 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 Marcus Davidsson. Marcus Davidsson 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.
Storm, Petter, Yu Zhang, Fredrik Nilsson, et al.. (2024). Lineage tracing of stem cell–derived dopamine grafts in a Parkinson’s model reveals shared origin of all graft-derived cells. Science Advances. 10(42). eadn3057–eadn3057. 1 indexed citations
2.
Åkerblom, Malin, Alessandro Fiorenzano, Janko Kajtez, et al.. (2024). Identification and validation of novel engineered AAV capsid variants targeting human glia. Frontiers in Neuroscience. 18. 1435212–1435212. 3 indexed citations
3.
Sandoval, Ivette M., Christy M. Kelley, Kathy Steece‐Collier, et al.. (2024). Engineered AAV capsid transport mutants overcome transduction deficiencies in the aged CNS. Molecular Therapy — Nucleic Acids. 35(4). 102332–102332. 5 indexed citations
4.
Davidsson, Marcus, Patrick Aldrin-Kirk, Tiago Cardoso, et al.. (2023). Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo. Molecular Therapy — Methods & Clinical Development. 29. 381–394. 4 indexed citations
5.
Sandoval, Ivette M., Yiyi Yang, Gerard W. O’Keeffe, et al.. (2023). A comparison of machine learning approaches for the quantification of microglial cells in the brain of mice, rats and non-human primates. PLoS ONE. 18(5). e0284480–e0284480. 3 indexed citations
6.
Manfredsson, Fredric P., et al.. (2022). Lateralized deficits after unilateral AAV-vector based overexpression of alpha-synuclein in the midbrain of rats on drug-free behavioral tests. Behavioural Brain Research. 429. 113887–113887. 8 indexed citations
7.
Aldrin-Kirk, Patrick, Malin Åkerblom, Tiago Cardoso, et al.. (2021). A novel two-factor monosynaptic TRIO tracing method for assessment of circuit integration of hESC-derived dopamine transplants. Stem Cell Reports. 17(1). 159–172. 7 indexed citations
8.
Björklund, Tomas & Marcus Davidsson. (2021). Next-Generation Gene Therapy for Parkinson’s Disease Using Engineered Viral Vectors. Journal of Parkinson s Disease. 11(s2). S209–S217. 10 indexed citations
9.
Davidsson, Marcus, et al.. (2020). A comparison of AAV-vector production methods for gene therapy and preclinical assessment. Scientific Reports. 10(1). 21532–21532. 19 indexed citations
10.
Davidsson, Marcus, Gang Wang, Patrick Aldrin-Kirk, et al.. (2019). A systematic capsid evolution approach performed in vivo for the design of AAV vectors with tailored properties and tropism. Proceedings of the National Academy of Sciences. 116(52). 27053–27062. 106 indexed citations
11.
Davidsson, Marcus, Oliver Daniel Schwich, Patrick Aldrin-Kirk, et al.. (2018). Molecular barcoding of viral vectors enables mapping and optimization of mRNAtrans-splicing. RNA. 24(5). 673–687. 6 indexed citations
12.
Aldrin-Kirk, Patrick, Andreas Heuer, Daniella Rylander Ottosson, et al.. (2017). Chemogenetic modulation of cholinergic interneurons reveals their regulating role on the direct and indirect output pathways from the striatum. Neurobiology of Disease. 109(Pt A). 148–162. 33 indexed citations
13.
Davidsson, Marcus. (2014). Volume, Volatility and Momentum in Financial Markets. SSRN Electronic Journal. 2 indexed citations
14.
Aldrin-Kirk, Patrick, Marcus Davidsson, Staffan Holmqvist, Jiayi Li, & Tomas Björklund. (2014). Novel AAV-Based Rat Model of Forebrain Synucleinopathy Shows Extensive Pathologies and Progressive Loss of Cholinergic Interneurons. PLoS ONE. 9(7). e100869–e100869. 27 indexed citations
15.
Davidsson, Marcus. (2013). The Use of Least Squares in the Optimization of Investment Portfolios. SSRN Electronic Journal. 30(4). 310. 1 indexed citations
16.
Davidsson, Marcus. (2013). Portfolio Theory Forward Testing. SSRN Electronic Journal. 3(3). 1–15.
17.
Davidsson, Marcus. (2012). Economic Growth and Risk Aversion. SSRN Electronic Journal. 1 indexed citations
18.
Davidsson, Marcus. (2011). Serial Dependence and Rescaled Range Analysis. SSRN Electronic Journal. 2 indexed citations
19.
Davidsson, Marcus. (2011). Portfolio Optimization and Linear Programming. SSRN Electronic Journal. 3 indexed citations
20.
Davidsson, Marcus. (2011). Portfolio Theory and Cone Optimization. SSRN Electronic Journal. 1(2). 1–9.

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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