Marie Skogs
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
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- Protist diversity and phylogeny
- Ubiquitin and proteasome pathways
- Photosynthetic Processes and Mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 2
- Molecular Biology Techniques and Applications 2
- Machine Learning in Bioinformatics 1
- Protein purification and stability 1
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Emma Lundberg (7 shared papers)Mathias Uhlén (6 shared papers)Ina Poser (2 shared papers)Anthony A. Hyman (2 shared papers)Charlotte Stadler (4 shared papers)Yusuke Toyoda (1 shared paper)Lis Jakobsen (1 shared paper)Erich A. Nigg (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)The EMBO Journal (1 paper)Journal of Proteomics (1 paper)Proceedings of the National Academy of Sciences (1 paper)New Biotechnology (1 paper)
- Partner nations
- SwedenGermanySwitzerland
In The Last Decade
Marie Skogs
7 papers receiving 421 citations
Peers
Comparison fields: 5 of 65
- Cell Biology 201
- Molecular Biology 342
- Genetics 113
- Biophysics 23
- Structural Biology 5
Countries citing papers authored by Marie Skogs
This map shows the geographic impact of Marie Skogs'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 Marie Skogs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Skogs more than expected).
Fields of papers citing papers by Marie Skogs
This network shows the impact of papers produced by Marie Skogs. 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 Marie Skogs. The network helps show where Marie Skogs may publish in the future.
Co-authors
The 25 scholars most cited alongside Marie Skogs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 250 | |
| 2 | 2009 | 69 | |
| 3 | 2013 | 39 | |
| 4 | 2011 | 32 | |
| 5 | 2016 | 15 | |
| 6 | 2010 | 11 | |
| 7 | 2012 | 11 |
About Marie Skogs
Marie Skogs is a scholar working on Molecular Biology, Spectroscopy, Radiology, Nuclear Medicine and Imaging, Biotechnology and Cell Biology, having authored 7 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (2 papers), Molecular Biology Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Machine Learning in Bioinformatics (1 paper), Protein purification and stability (1 paper), Cancer Research and Treatments (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Cell Biology (201 citations), Molecular Biology (342 citations), Genetics (113 citations), Biophysics (23 citations) and Structural Biology (5 citations). Marie Skogs has collaborated with scholars based in Sweden, Germany and Switzerland. Frequent co-authors include Emma Lundberg, Mathias Uhlén, Ina Poser, Anthony A. Hyman, Charlotte Stadler, Yusuke Toyoda, Lis Jakobsen, Erich A. Nigg, Lasse Gaarde Falkenby and Jens Westendorf. Their work appears in journals such as Journal of Proteome Research, The EMBO Journal, Journal of Proteomics, Proceedings of the National Academy of Sciences and New Biotechnology.
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.