Marcus Davidsson

2.1k citations
35 papers · 412 · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 11
    • RNA Interference and Gene Delivery 7
    • Pluripotent Stem Cells Research 3
    • RNA regulation and disease 3
    • Virus-based gene therapy research 10

Marcus Davidsson

30 papers receiving 396 citations

Peers

Marcus Davidsson
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 94
  • Genetics 133
  • Developmental Neuroscience 18
  • Neurology 60
  • Molecular Biology 232
Replace Tadataka Kawakami with:
Tadataka Kawakami Japan
Steven M. Leber United States
Leon Tejwani United States
Irina Thiry Belgium
M. Cecilia Ljungberg United States
Giridhar Murlidharan United States
Gianluca Verlengia Italy
Yvonne S. Yang United States
Ewa Bomba-Warczak United States
Matthew Goldsmith United States
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Citations per field
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Tadataka Kawakami · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Marcus Davidsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcus Davidsson Line = papers co-authored together Marcus Davidsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019107
2 202047
3 201733
4 201427
5 201622
6 202021
7 201818
8 202215
9 201814
10 201413
11 202211
12 202110
13 19829
14 20228
15 20217
16 20186
17 20235
18 20245
19 20244
20 20234

About Marcus Davidsson

Marcus Davidsson is a scholar working on Molecular Biology, Genetics, Finance, Economics and Econometrics and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 412 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (7 papers), Financial Risk and Volatility Modeling (5 papers), Financial Markets and Investment Strategies (4 papers), Pluripotent Stem Cells Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (94 citations), Genetics (133 citations), Developmental Neuroscience (18 citations), Neurology (60 citations) and Molecular Biology (232 citations). Marcus Davidsson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Tomas Björklund, Patrick Aldrin-Kirk, Andreas Heuer, Malin Parmar, Sara Nolbrant, Tiago Cardoso, Gang Wang, Gang Wang, Fredric P. Manfredsson and Daniella Rylander Ottosson. Their work appears in journals such as PLoS ONE, Journal of Parkinson s Disease, Molecular Therapy — Methods & Clinical Development, Scientific Reports and Current Protocols in Neuroscience.

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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