Kathrin Meyer
- Genetics top 0.5%
- Neurogenetic and Muscular Disorders Research 33
- Virus-based gene therapy research 9
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 14
- Developmental Neuroscience top 2%
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 14
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- RNA modifications and cancer 16
- CRISPR and Genetic Engineering 13
- RNA regulation and disease 8
- Pluripotent Stem Cells Research 7
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- Musculoskeletal pain and rehabilitation 7
- Co-authors
- Brian K. KasparShibi LikhiteLaura FerraiuoloHaiko SprottAnne F. MannionArthur H.M. BurghesCarlos J. MirandaLyndsey Braun
- Journals
- Molecular Therapy (9 papers)Molecular Therapy — Methods & Clinical Development (5 papers)Neurology (4 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Kathrin Meyer
84 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Genetics 1.2k
- Neurology 1.3k
- Developmental Neuroscience 227
- Neurology 443
- Cellular and Molecular Neuroscience 468
Countries citing papers authored by Kathrin Meyer
This map shows the geographic impact of Kathrin 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 Kathrin Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathrin Meyer more than expected).
Fields of papers citing papers by Kathrin Meyer
This network shows the impact of papers produced by Kathrin 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 Kathrin Meyer. The network helps show where Kathrin Meyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kathrin 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 37 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 12 | |
| 14 | 2019 | 5 | |
| 15 | 2018 | 35 | |
| 16 | The C9orf72 protein interacts with Rab1a and the | 2016 | 301 |
| 17 | 2016 | 41 | |
| 18 | 2014 | 21 | |
| 19 | 2014 | 15 | |
| 20 | 2010 | 43 |
About Kathrin Meyer
Kathrin Meyer is a scholar working on Genetics, Medical Laboratory Technology, Developmental Neuroscience, Neurology and Molecular Biology, having authored 87 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (33 papers), RNA modifications and cancer (16 papers), Amyotrophic Lateral Sclerosis Research (14 papers), CRISPR and Genetic Engineering (13 papers), Virus-based gene therapy research (9 papers), RNA regulation and disease (8 papers), Musculoskeletal pain and rehabilitation (7 papers) and Pluripotent Stem Cells Research (7 papers). The work is most often cited by research in Genetics (1.2k citations), Neurology (1.3k citations), Developmental Neuroscience (227 citations), Neurology (443 citations) and Cellular and Molecular Neuroscience (468 citations). Kathrin Meyer has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Brian K. Kaspar, Shibi Likhite, Laura Ferraiuolo, Haiko Sprott, Anne F. Mannion, Arthur H.M. Burghes, Carlos J. Miranda, Lyndsey Braun, Kevin D. Foust and SungWon Song. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Methods & Clinical Development, Neurology, Molecular Genetics and Metabolism and Neurobiology of Aging.
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.