Michael D. Geschwind
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neurological diseases and metabolism
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Mitochondrial Function and Pathology 2
- Epigenetics and DNA Methylation 1
- S100 Proteins and Annexins 1
-
- Genetic Neurodegenerative Diseases 2
- Nerve injury and regeneration 1
- Co-authors
- Bruce L. Miller (3 shared papers)Adam L. Boxer (2 shared papers)Tricia See (1 shared paper)Michael W. Weiner (1 shared paper)Suzee E. Lee (1 shared paper)Mary Catherine Mayo (1 shared paper)Howard J. Federoff (2 shared papers)Anna M. Karydas (1 shared paper)
- Journals
- Annals of Neurology (2 papers)Human Gene Therapy (1 paper)Clinical Neurology and Neurosurgery (1 paper)Brain (1 paper)The Cerebellum (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Michael D. Geschwind
11 papers receiving 546 citations
Peers
Comparison fields: 5 of 58
- Neurology 189
- Neurology 84
- Sensory Systems 39
- Cellular and Molecular Neuroscience 144
- Psychiatry and Mental health 88
Countries citing papers authored by Michael D. Geschwind
This map shows the geographic impact of Michael D. Geschwind'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 D. Geschwind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Geschwind more than expected).
Fields of papers citing papers by Michael D. Geschwind
This network shows the impact of papers produced by Michael D. Geschwind. 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 D. Geschwind. The network helps show where Michael D. Geschwind may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Geschwind, 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 | 2011 | 300 | |
| 2 | 1996 | 83 | |
| 3 | 2014 | 55 | |
| 4 | 2016 | 48 | |
| 5 | 2016 | 26 | |
| 6 | 1993 | 17 | |
| 7 | 2018 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2009 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 1998 | 1 | |
| 12 | 2025 | 0 |
About Michael D. Geschwind
Michael D. Geschwind is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Psychiatry and Mental health and Neurology, having authored 12 papers that have together received 556 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (2 papers), Genetic Neurodegenerative Diseases (2 papers), Alzheimer's disease research and treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Neurological Complications and Syndromes (1 paper), S100 Proteins and Annexins (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (189 citations), Neurology (84 citations), Sensory Systems (39 citations), Cellular and Molecular Neuroscience (144 citations) and Psychiatry and Mental health (88 citations). Michael D. Geschwind has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Bruce L. Miller, Adam L. Boxer, Tricia See, Michael W. Weiner, Suzee E. Lee, Mary Catherine Mayo, Howard J. Federoff, Anna M. Karydas, Stephen M. Wilson and Stephen J. DeArmond. Their work appears in journals such as Annals of Neurology, Human Gene Therapy, Clinical Neurology and Neurosurgery, Brain and The Cerebellum.
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.