Dalton James Surmeier
Impact in
- Cellular and Molecular Neuroscience top 0.01%
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Genetic Neurodegenerative Diseases
- Neurology top 0.02%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
-
- Neuroscience and Neuropharmacology Research 191
- Neurotransmitter Receptor Influence on Behavior 42
- Neuroscience and Neural Engineering 41
- Genetic Neurodegenerative Diseases 35
- Neurology 119
- Parkinson's Disease Mechanisms and Treatments 86
- Neurological disorders and treatments 85
- Co-authors
- Tatiana Tkatch (37 shared papers)Weixing Shen (22 shared papers)Jaime N. Guzmán (22 shared papers)C. Savio Chan (26 shared papers)Charles R. Gerfen (1 shared paper)Paul Greengard (20 shared papers)Jun Ding (9 shared papers)Zhen Yan (10 shared papers)
- Journals
- Journal of Neuroscience (41 papers)Journal of Neurophysiology (26 papers)Neuron (21 papers)Nature Neuroscience (14 papers)Movement Disorders (12 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Dalton James Surmeier
298 papers receiving 38.2k citations
Dalton James Surmeier's Hit Papers
Peers
Comparison fields: 5 of 170
- Cellular and Molecular Neuroscience 24.6k
- Neurology 11.9k
- Cognitive Neuroscience 6.7k
- Neurology 2.7k
- Developmental Neuroscience 1.3k
Countries citing papers authored by Dalton James Surmeier
This map shows the geographic impact of Dalton James Surmeier'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 Dalton James Surmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalton James Surmeier more than expected).
Fields of papers citing papers by Dalton James Surmeier
This network shows the impact of papers produced by Dalton James Surmeier. 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 Dalton James Surmeier. The network helps show where Dalton James Surmeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalton James Surmeier, 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 304 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dopamine neurons derived from human ES cells efficiently engraft in animal models of Parkinson’s disease Hit paper breakdown → | 2011 | 1537 |
| 2 | Modulation of Striatal Projection Systems by Dopamine Hit paper breakdown → | 2011 | 1275 |
| 3 | Dichotomous Dopaminergic Control of Striatal Synaptic Plasticity Hit paper breakdown → | 2008 | 963 |
| 4 | D1 and D2 dopamine-receptor modulation of striatal glutamatergic signaling in striatal medium spiny neurons Hit paper breakdown → | 2007 | 929 |
| 5 | A Translational Profiling Approach for the Molecular Characterization of CNS Cell Types Hit paper breakdown → | 2008 | 927 |
| 6 | Selective neuronal vulnerability in Parkinson disease Hit paper breakdown → | 2017 | 814 |
| 7 | Dopaminergic Modulation of Neuronal Excitability in the Striatum and Nucleus Accumbens Hit paper breakdown → | 2000 | 795 |
| 8 | ‘Rejuvenation’ protects neurons in mouse models of Parkinson’s disease Hit paper breakdown → | 2007 | 742 |
| 9 | Negative feedback control of neuronal activity by microglia Hit paper breakdown → | 2020 | 723 |
| 10 | Oxidant stress evoked by pacemaking in dopaminergic neurons is attenuated by DJ-1 Hit paper breakdown → | 2010 | 709 |
| 11 | Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease Hit paper breakdown → | 2017 | 702 |
| 12 | 1996 | 658 | |
| 13 | Past, present, and future of Parkinson's disease: A special essay on the 200th Anniversary of the Shaking Palsy Hit paper breakdown → | 2017 | 649 |
| 14 | Selective elimination of glutamatergic synapses on striatopallidal neurons in Parkinson disease models Hit paper breakdown → | 2006 | 637 |
| 15 | 1996 | 570 | |
| 16 | 1999 | 551 | |
| 17 | 1995 | 479 | |
| 18 | 2012 | 439 | |
| 19 | 2006 | 434 | |
| 20 | 2000 | 425 |
About Dalton James Surmeier
Dalton James Surmeier is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cognitive Neuroscience and Neurology, having authored 304 papers that have together received 39.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (191 papers), Parkinson's Disease Mechanisms and Treatments (86 papers), Neurological disorders and treatments (85 papers), Ion channel regulation and function (83 papers), Neurotransmitter Receptor Influence on Behavior (42 papers), Receptor Mechanisms and Signaling (42 papers), Neuroscience and Neural Engineering (41 papers) and Genetic Neurodegenerative Diseases (35 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (24.6k citations), Neurology (11.9k citations), Cognitive Neuroscience (6.7k citations), Neurology (2.7k citations) and Developmental Neuroscience (1.3k citations). Dalton James Surmeier has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Tatiana Tkatch, Weixing Shen, Jaime N. Guzmán, C. Savio Chan, Charles R. Gerfen, Paul Greengard, Jun Ding, Zhen Yan, Michelle Day and Ema Ilijić. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, Neuron, Nature Neuroscience and Movement Disorders.
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.