F. Hanisch
Impact in
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- Myasthenia Gravis and Thymoma
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- Glycogen Storage Diseases and Myoclonus
Papers in
- Rheumatology 10
- Glycogen Storage Diseases and Myoclonus 6
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- Myasthenia Gravis and Thymoma 3
- Co-authors
- S. Zierz (14 shared papers)Marcus Deschauer (10 shared papers)Tobias Müller (6 shared papers)M. E. Kornhuber (3 shared papers)G. Stoltenburg (4 shared papers)Nesrin Karabul (3 shared papers)Stefan K. Plontke (1 shared paper)Torsten Rahne (1 shared paper)
- Journals
- Journal of Neurology (4 papers)Neuromuscular Disorders (2 papers)Acta Neurologica Scandinavica (2 papers)Clinical Neurology and Neurosurgery (1 paper)Clinical Neurophysiology (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
F. Hanisch
30 papers receiving 317 citations
Peers
Comparison fields: 5 of 51
- Neurology 66
- Rheumatology 62
- Physiology 80
- Clinical Biochemistry 21
- Psychiatry and Mental health 33
Countries citing papers authored by F. Hanisch
This map shows the geographic impact of F. Hanisch'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 F. Hanisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Hanisch more than expected).
Fields of papers citing papers by F. Hanisch
This network shows the impact of papers produced by F. Hanisch. 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 F. Hanisch. The network helps show where F. Hanisch may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Hanisch, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 30 | |
| 2 | 2011 | 26 | |
| 3 | 2006 | 23 | |
| 4 | 2009 | 23 | |
| 5 | 2015 | 20 | |
| 6 | 2014 | 19 | |
| 7 | 2007 | 19 | |
| 8 | 2008 | 18 | |
| 9 | 2013 | 14 | |
| 10 | 2013 | 14 | |
| 11 | 2012 | 14 | |
| 12 | 2011 | 13 | |
| 13 | 2014 | 12 | |
| 14 | Local and systemic hemorheological effects of cerebral hyper- and hypoperfusion in a porcine model. | 2006 | 10 |
| 15 | 2009 | 9 | |
| 16 | 2006 | 9 | |
| 17 | 2009 | 8 | |
| 18 | 2011 | 8 | |
| 19 | 2006 | 7 | |
| 20 | 2018 | 6 |
About F. Hanisch
F. Hanisch is a scholar working on Rheumatology, Neurology, Physiology, Molecular Biology and Epidemiology, having authored 32 papers that have together received 325 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (7 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Myasthenia Gravis and Thymoma (3 papers), Trypanosoma species research and implications (2 papers), Metabolism and Genetic Disorders (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Neurology (66 citations), Rheumatology (62 citations), Physiology (80 citations), Clinical Biochemistry (21 citations) and Psychiatry and Mental health (33 citations). F. Hanisch has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include S. Zierz, Marcus Deschauer, Tobias Müller, M. E. Kornhuber, G. Stoltenburg, Nesrin Karabul, Stefan K. Plontke, Torsten Rahne, Deniz Güngör and Michelle E. Kruijshaar. Their work appears in journals such as Journal of Neurology, Neuromuscular Disorders, Acta Neurologica Scandinavica, Clinical Neurology and Neurosurgery and Clinical Neurophysiology.
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.