Michael Fleischer
Impact in
- Neurology top 10%
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
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- Tryptophan and brain disorders
Papers in
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- Long-Term Effects of COVID-19 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
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- RNA Research and Splicing 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Co-authors
- Christoph Kleinschnitz (19 shared papers)Hubert Wirtz (2 shared papers)Elmar Brähler (2 shared papers)Andrea Bosse‐Henck (2 shared papers)Andreas Hinz (2 shared papers)Mark Stettner (7 shared papers)Carsten Schmuck (1 shared paper)Anne K. Mausberg (4 shared papers)
- Journals
- Neurology and Therapy (2 papers)Molecular Neurobiology (1 paper)Peptides (1 paper)Multiple Sclerosis Journal (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- GermanyUnited StatesBrazil
In The Last Decade
Michael Fleischer
25 papers receiving 520 citations
Peers
Comparison fields: 5 of 82
- Neurology 146
- Biological Psychiatry 22
- Neurology 66
- Genetics 41
- Physiology 83
Countries citing papers authored by Michael Fleischer
This map shows the geographic impact of Michael Fleischer'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 Michael Fleischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Fleischer more than expected).
Fields of papers citing papers by Michael Fleischer
This network shows the impact of papers produced by Michael Fleischer. 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 Michael Fleischer. The network helps show where Michael Fleischer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Fleischer, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2011 | 63 | |
| 3 | 2013 | 40 | |
| 4 | 2022 | 35 | |
| 5 | 2014 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 25 | |
| 8 | 2019 | 23 | |
| 9 | 2021 | 19 | |
| 10 | 2011 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 7 |
About Michael Fleischer
Michael Fleischer is a scholar working on Neurology, Molecular Biology, Genetics, Epidemiology and Neurology, having authored 28 papers that have together received 532 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Adolescent and Pediatric Healthcare (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Acute Ischemic Stroke Management (2 papers), RNA Research and Splicing (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Neurology (146 citations), Biological Psychiatry (22 citations), Neurology (66 citations), Genetics (41 citations) and Physiology (83 citations). Michael Fleischer has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Christoph Kleinschnitz, Hubert Wirtz, Elmar Brähler, Andrea Bosse‐Henck, Andreas Hinz, Mark Stettner, Carsten Schmuck, Anne K. Mausberg, Fabian Szepanowski and Dirk M. Hermann. Their work appears in journals such as Neurology and Therapy, Molecular Neurobiology, Peptides, Multiple Sclerosis Journal and Frontiers in Neuroscience.
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.