D. James Surmeier
Impact in
- Cellular and Molecular Neuroscience top 0.01%
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neural Engineering
- Neurology top 0.02%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
-
- Neuroscience and Neuropharmacology Research 181
- Neuroscience and Neural Engineering 40
- Neurotransmitter Receptor Influence on Behavior 38
- Genetic Neurodegenerative Diseases 31
-
- Ion channel regulation and function 82
- Receptor Mechanisms and Signaling 40
- Co-authors
- Tatiana Tkatch (37 shared papers)Weixing Shen (21 shared papers)Jaime N. Guzmán (24 shared papers)C. Savio Chan (25 shared papers)Charles R. Gerfen (1 shared paper)Jun Ding (9 shared papers)Zhen Yan (10 shared papers)Michelle Day (19 shared papers)
- Journals
- Journal of Neuroscience (41 papers)Journal of Neurophysiology (26 papers)Neuron (17 papers)Nature Neuroscience (12 papers)Movement Disorders (10 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
D. James Surmeier
282 papers receiving 35.0k citations
D. James Surmeier's Hit Papers
Peers
Comparison fields: 5 of 162
- Cellular and Molecular Neuroscience 23.4k
- Neurology 10.9k
- Cognitive Neuroscience 6.5k
- Developmental Neuroscience 1.1k
- Neurology 2.0k
Countries citing papers authored by D. James Surmeier
This map shows the geographic impact of D. 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 D. 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 D. James Surmeier more than expected).
Fields of papers citing papers by D. James Surmeier
This network shows the impact of papers produced by D. 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 D. James Surmeier. The network helps show where D. James Surmeier may publish in the future.
Co-authors
The 25 scholars most cited alongside D. 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 288 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 | 1465 |
| 2 | Modulation of Striatal Projection Systems by Dopamine Hit paper breakdown → | 2011 | 1255 |
| 3 | Dichotomous Dopaminergic Control of Striatal Synaptic Plasticity Hit paper breakdown → | 2008 | 958 |
| 4 | D1 and D2 dopamine-receptor modulation of striatal glutamatergic signaling in striatal medium spiny neurons Hit paper breakdown → | 2007 | 917 |
| 5 | A Translational Profiling Approach for the Molecular Characterization of CNS Cell Types Hit paper breakdown → | 2008 | 904 |
| 6 | Dopaminergic Modulation of Neuronal Excitability in the Striatum and Nucleus Accumbens Hit paper breakdown → | 2000 | 795 |
| 7 | Selective neuronal vulnerability in Parkinson disease Hit paper breakdown → | 2017 | 766 |
| 8 | ‘Rejuvenation’ protects neurons in mouse models of Parkinson’s disease Hit paper breakdown → | 2007 | 735 |
| 9 | Oxidant stress evoked by pacemaking in dopaminergic neurons is attenuated by DJ-1 Hit paper breakdown → | 2010 | 693 |
| 10 | Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease Hit paper breakdown → | 2017 | 664 |
| 11 | Coordinated Expression of Dopamine Receptors in Neostriatal Medium Spiny Neurons Hit paper breakdown → | 1996 | 659 |
| 12 | Selective elimination of glutamatergic synapses on striatopallidal neurons in Parkinson disease models Hit paper breakdown → | 2006 | 632 |
| 13 | Estradiol reduces calcium currents in rat neostriatal neurons via a membrane receptor Hit paper breakdown → | 1996 | 576 |
| 14 | Expression of the transcription factor ΔFosB in the brain controls sensitivity to cocaine Hit paper breakdown → | 1999 | 547 |
| 15 | Modulation of calcium currents by a D1 dopaminergic protein kinase/phosphatase cascade in rat neostriatal neurons Hit paper breakdown → | 1995 | 479 |
| 16 | 2006 | 432 | |
| 17 | 1997 | 424 | |
| 18 | 2000 | 423 | |
| 19 | 2000 | 393 | |
| 20 | 2007 | 380 |
About D. James Surmeier
D. James Surmeier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 288 papers that have together received 35.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (181 papers), Ion channel regulation and function (82 papers), Neurological disorders and treatments (80 papers), Parkinson's Disease Mechanisms and Treatments (80 papers), Receptor Mechanisms and Signaling (40 papers), Neuroscience and Neural Engineering (40 papers), Neurotransmitter Receptor Influence on Behavior (38 papers) and Genetic Neurodegenerative Diseases (31 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (23.4k citations), Neurology (10.9k citations), Cognitive Neuroscience (6.5k citations), Developmental Neuroscience (1.1k citations) and Neurology (2.0k citations). D. 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, Jun Ding, Zhen Yan, Michelle Day, Ema Ilijić and Paul Greengard. 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.