Ralf Giess
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research
- Botulinum Toxin and Related Neurological Disorders
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Co-authors
- Klaus V. Toyka (10 shared papers)Michael Sendtner (6 shared papers)Marcus Beck (7 shared papers)Mathias Mäurer (3 shared papers)Bettina Holtmann (2 shared papers)Ralf A. Linker (2 shared papers)Ralf Gold (2 shared papers)Klaus V. Toyka (2 shared papers)
- Journals
- Muscle & Nerve (4 papers)Neurology (3 papers)Journal of Neurology (3 papers)Journal of Neuroimmunology (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)
- Partner nations
- GermanyUnited StatesCyprus
In The Last Decade
Ralf Giess
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Developmental Neuroscience 255
- Neurology 614
- Genetics 248
- Neurology 196
- Cellular and Molecular Neuroscience 392
Countries citing papers authored by Ralf Giess
This map shows the geographic impact of Ralf Giess'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 Ralf Giess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Giess more than expected).
Fields of papers citing papers by Ralf Giess
This network shows the impact of papers produced by Ralf Giess. 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 Ralf Giess. The network helps show where Ralf Giess may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Giess, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 325 | |
| 2 | 2000 | 240 | |
| 3 | 2002 | 162 | |
| 4 | 2000 | 159 | |
| 5 | 2005 | 97 | |
| 6 | 1999 | 85 | |
| 7 | 2002 | 84 | |
| 8 | 2003 | 78 | |
| 9 | 2002 | 72 | |
| 10 | 1999 | 50 | |
| 11 | 2000 | 42 | |
| 12 | 2007 | 30 | |
| 13 | 1999 | 28 | |
| 14 | 2022 | 24 | |
| 15 | 2000 | 23 | |
| 16 | 1998 | 23 | |
| 17 | 2002 | 19 | |
| 18 | 2015 | 10 | |
| 19 | 1995 | 9 | |
| 20 | 1999 | 4 |
About Ralf Giess
Ralf Giess is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Surgery, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), Neurological disorders and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Multiple Sclerosis Research Studies (3 papers), Reproductive System and Pregnancy (2 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (255 citations), Neurology (614 citations), Genetics (248 citations), Neurology (196 citations) and Cellular and Molecular Neuroscience (392 citations). Ralf Giess has collaborated with scholars based in Germany, United States and Cyprus. Frequent co-authors include Klaus V. Toyka, Michael Sendtner, Marcus Beck, Mathias Mäurer, Bettina Holtmann, Ralf A. Linker, Ralf Gold, Klaus V. Toyka, Tim Magnus and Rudolf Martini. Their work appears in journals such as Muscle & Nerve, Neurology, Journal of Neurology, Journal of Neuroimmunology and Journal of Neurology Neurosurgery & Psychiatry.
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.