Rita Gerardy‐Schahn
Impact in
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms
- Microbiology top 0.5%
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 28
- Microbiology 17
- Bacterial Infections and Vaccines 15
- Co-authors
- Martina MühlenhoffHerbert HildebrandtMatthias EckhardtRonald L. SchnaarBirgit WeinholdMatthias FroschKatharina StummeyerAndrea Bethe
- Journals
- Journal of Biological Chemistry (33 papers)Glycobiology (11 papers)Journal of Neuroscience (6 papers)Molecular Microbiology (5 papers)ChemBioChem (5 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Rita Gerardy‐Schahn
194 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Developmental Neuroscience 1.2k
- Microbiology 700
- Cellular and Molecular Neuroscience 1.8k
- Molecular Biology 6.5k
- Cell Biology 1.4k
Countries citing papers authored by Rita Gerardy‐Schahn
This map shows the geographic impact of Rita Gerardy‐Schahn'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 Rita Gerardy‐Schahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Gerardy‐Schahn more than expected).
Fields of papers citing papers by Rita Gerardy‐Schahn
This network shows the impact of papers produced by Rita Gerardy‐Schahn. 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 Rita Gerardy‐Schahn. The network helps show where Rita Gerardy‐Schahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Gerardy‐Schahn, 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 | 2024 | 4 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 52 | |
| 8 | 2018 | 55 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 11 | |
| 11 | 2015 | 128 | |
| 12 | Tools and techniques to identify and capture sialoglycans | 2015 | 1 |
| 13 | 2014 | 31 | |
| 14 | 2013 | 79 | |
| 15 | 2012 | 42 | |
| 16 | 2010 | 100 | |
| 17 | 2008 | 32 | |
| 18 | 2008 | 11 | |
| 19 | 2005 | 48 | |
| 20 | 2005 | 89 |
About Rita Gerardy‐Schahn
Rita Gerardy‐Schahn is a scholar working on Developmental Neuroscience, Microbiology, Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 194 papers that have together received 10.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (100 papers), Neurogenesis and neuroplasticity mechanisms (28 papers), Carbohydrate Chemistry and Synthesis (25 papers), Neuroscience and Neuropharmacology Research (20 papers), Bacterial Infections and Vaccines (15 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Bacterial Genetics and Biotechnology (13 papers) and Bacteriophages and microbial interactions (13 papers). The work is most often cited by research in Developmental Neuroscience (1.2k citations), Microbiology (700 citations), Cellular and Molecular Neuroscience (1.8k citations), Molecular Biology (6.5k citations) and Cell Biology (1.4k citations). Rita Gerardy‐Schahn has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Martina Mühlenhoff, Herbert Hildebrandt, Matthias Eckhardt, Ronald L. Schnaar, Birgit Weinhold, Matthias Frosch, Katharina Stummeyer, Andrea Bethe, Melitta Schachner and Hans Bakker. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Journal of Neuroscience, Molecular Microbiology and ChemBioChem.
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.