Ulrich V. Eitzen
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological diseases and metabolism
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- Nuclear Receptors and Signaling
- Genetic Neurodegenerative Diseases
Papers in
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- Mitochondrial Function and Pathology 3
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- Neurological diseases and metabolism 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Manuel B. Graeber (7 shared papers)Siegfried Kösel (6 shared papers)Rupert Egensperger (4 shared papers)Parviz Mehraein (4 shared papers)E. M. Grasbon-Frodl (5 shared papers)H. W. Goedde (3 shared papers)Doris Meier-Tackmann (3 shared papers)Dharam P. Agarwal (2 shared papers)
- Journals
- Neurogenetics (2 papers)Advances in experimental medicine and biology (2 papers)Journal of Neuropathology & Experimental Neurology (1 paper)Cancer Letters (1 paper)Acta Neuropathologica (1 paper)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Ulrich V. Eitzen
10 papers receiving 493 citations
Peers
Comparison fields: 5 of 60
- Neurology 174
- Neurology 149
- Cellular and Molecular Neuroscience 139
- Physiology 161
- Clinical Biochemistry 35
Countries citing papers authored by Ulrich V. Eitzen
This map shows the geographic impact of Ulrich V. Eitzen'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 Ulrich V. Eitzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich V. Eitzen more than expected).
Fields of papers citing papers by Ulrich V. Eitzen
This network shows the impact of papers produced by Ulrich V. Eitzen. 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 Ulrich V. Eitzen. The network helps show where Ulrich V. Eitzen may publish in the future.
Co-authors
The 15 scholars most cited alongside Ulrich V. Eitzen, 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 | 1998 | 126 | |
| 2 | 1997 | 113 | |
| 3 | 1998 | 80 | |
| 4 | 1998 | 71 | |
| 5 | 1999 | 39 | |
| 6 | 1994 | 32 | |
| 7 | 1998 | 30 | |
| 8 | 1995 | 13 | |
| 9 | 1998 | 3 | |
| 10 | 1993 | 2 |
About Ulrich V. Eitzen
Ulrich V. Eitzen is a scholar working on Molecular Biology, Neurology, Neurology, Cancer Research and Clinical Biochemistry, having authored 10 papers that have together received 509 indexed citations. Recurring topics across this work include Neurological diseases and metabolism (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Nerve injury and regeneration (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (174 citations), Neurology (149 citations), Cellular and Molecular Neuroscience (139 citations), Physiology (161 citations) and Clinical Biochemistry (35 citations). Ulrich V. Eitzen has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Manuel B. Graeber, Siegfried Kösel, Rupert Egensperger, Parviz Mehraein, E. M. Grasbon-Frodl, H. W. Goedde, Doris Meier-Tackmann, Dharam P. Agarwal, K. Bise and Yoshinori Imai. Their work appears in journals such as Neurogenetics, Advances in experimental medicine and biology, Journal of Neuropathology & Experimental Neurology, Cancer Letters and Acta Neuropathologica.
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.