Alexandra Graff-Meyer
Impact in
- Structural Biology top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- Protein purification and stability 2
- Retinal Development and Disorders 2
-
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Christel Genoud (4 shared papers)Samir EL Andaloussi (1 shared paper)Matthew J. A. Wood (1 shared paper)Emmanuelle Steib (1 shared paper)Katrin Martin (1 shared paper)Dylan Morrissey (1 shared paper)Nicole Meisner‐Kober (1 shared paper)Johannes Voshol (1 shared paper)
- Journals
- Pharmaceutical Research (1 paper)mAbs (1 paper)Journal of Structural Biology (1 paper)Scientific Reports (1 paper)Science (1 paper)
- Partner nations
- SwitzerlandGermanyFrance
In The Last Decade
Alexandra Graff-Meyer
14 papers receiving 747 citations
Peers
Comparison fields: 5 of 84
- Structural Biology 23
- Cancer Research 179
- Molecular Biology 648
- Immunology and Allergy 49
- Biophysics 24
Countries citing papers authored by Alexandra Graff-Meyer
This map shows the geographic impact of Alexandra Graff-Meyer'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 Alexandra Graff-Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Graff-Meyer more than expected).
Fields of papers citing papers by Alexandra Graff-Meyer
This network shows the impact of papers produced by Alexandra Graff-Meyer. 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 Alexandra Graff-Meyer. The network helps show where Alexandra Graff-Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandra Graff-Meyer, 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 | 2016 | 342 | |
| 2 | 2020 | 156 | |
| 3 | 2012 | 51 | |
| 4 | 2016 | 38 | |
| 5 | 2020 | 35 | |
| 6 | 2018 | 29 | |
| 7 | 2016 | 25 | |
| 8 | 2023 | 23 | |
| 9 | 2018 | 23 | |
| 10 | 2021 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 7 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 1 |
About Alexandra Graff-Meyer
Alexandra Graff-Meyer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Developmental Neuroscience and Structural Biology, having authored 14 papers that have together received 757 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), Protein purification and stability (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Structural Biology (23 citations), Cancer Research (179 citations), Molecular Biology (648 citations), Immunology and Allergy (49 citations) and Biophysics (24 citations). Alexandra Graff-Meyer has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Christel Genoud, Samir EL Andaloussi, Matthew J. A. Wood, Emmanuelle Steib, Katrin Martin, Dylan Morrissey, Nicole Meisner‐Kober, Johannes Voshol, Wolf Heusermann and Justin Hean. Their work appears in journals such as Pharmaceutical Research, mAbs, Journal of Structural Biology, Scientific Reports and Science.
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.