Margit Fuchs
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Wnt/β-catenin signaling in development and cancer 7
- Heat shock proteins research 5
- Cancer-related gene regulation 5
- Kruppel-like factors research 4
- Viral Infectious Diseases and Gene Expression in Insects 2
- Protein Structure and Dynamics 2
-
- Cellular Mechanics and Interactions 2
- Co-authors
- Herman Lambert (8 shared papers)Jacques Landry (6 shared papers)Josée N. Lavoie (9 shared papers)Steve J. Charette (1 shared paper)Samuel J. Seguin (1 shared paper)Serena Carra (1 shared paper)Birgit Luber (7 shared papers)Heinz Höfler (6 shared papers)
- Journals
- Experimental Cell Research (2 papers)Journal of Visualized Experiments (2 papers)The FASEB Journal (1 paper)Cancer Research (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Margit Fuchs
18 papers receiving 488 citations
Peers
Comparison fields: 5 of 70
- Cell Biology 136
- Aging 14
- Molecular Biology 375
- Cellular and Molecular Neuroscience 43
- Epidemiology 63
Countries citing papers authored by Margit Fuchs
This map shows the geographic impact of Margit Fuchs'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 Margit Fuchs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit Fuchs more than expected).
Fields of papers citing papers by Margit Fuchs
This network shows the impact of papers produced by Margit Fuchs. 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 Margit Fuchs. The network helps show where Margit Fuchs may publish in the future.
Co-authors
The 25 scholars most cited alongside Margit Fuchs, 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 | 2009 | 141 | |
| 2 | 2008 | 62 | |
| 3 | 2015 | 50 | |
| 4 | 2018 | 48 | |
| 5 | 2017 | 31 | |
| 6 | 2020 | 25 | |
| 7 | 2013 | 22 | |
| 8 | 2019 | 18 | |
| 9 | 2002 | 16 | |
| 10 | 2004 | 14 | |
| 11 | 2004 | 13 | |
| 12 | 2009 | 12 | |
| 13 | 2004 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2007 | 3 | |
| 19 | 2015 | 0 |
About Margit Fuchs
Margit Fuchs is a scholar working on Molecular Biology, Cell Biology, Genetics, Materials Chemistry and Infectious Diseases, having authored 19 papers that have together received 492 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Heat shock proteins research (5 papers), Cancer-related gene regulation (5 papers), Kruppel-like factors research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cell Biology (136 citations), Aging (14 citations), Molecular Biology (375 citations), Cellular and Molecular Neuroscience (43 citations) and Epidemiology (63 citations). Margit Fuchs has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Herman Lambert, Jacques Landry, Josée N. Lavoie, Steve J. Charette, Samuel J. Seguin, Serena Carra, Birgit Luber, Heinz Höfler, Christine Hermannstädter and Karl‐Friedrich Becker. Their work appears in journals such as Experimental Cell Research, Journal of Visualized Experiments, The FASEB Journal, Cancer Research and Human Molecular Genetics.
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.