Deepak M. Sampathu
- Neurology top 0.1%
- Parkinson's Disease Mechanisms and Treatments 6
- Amyotrophic Lateral Sclerosis Research 4
- Neurological diseases and metabolism 3
- Genetics top 0.2%
- Genetics and Neurodevelopmental Disorders 1
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 6
- Amyotrophic Lateral Sclerosis Research 4
- Neurological diseases and metabolism 3
- Physiology top 1%
- Alzheimer's disease research and treatments 3
- Aging top 5%
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- Nuclear Receptors and Signaling 2
- Neuroscience and Neuropharmacology Research 1
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- RNA regulation and disease 1
- Co-authors
- Virginia M.‐Y. LeeJohn Q. TrojanowskiManuela NeumannLinda K. KwongJennifer BruceMatthew C. MicsenyiMurray GrossmanThomas T. Chou
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Deepak M. Sampathu
10 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Neurology 4.5k
- Genetics 1.8k
- Neurology 1.0k
- Physiology 1.6k
- Aging 74
Countries citing papers authored by Deepak M. Sampathu
This map shows the geographic impact of Deepak M. Sampathu'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 Deepak M. Sampathu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak M. Sampathu more than expected).
Fields of papers citing papers by Deepak M. Sampathu
This network shows the impact of papers produced by Deepak M. Sampathu. 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 Deepak M. Sampathu. The network helps show where Deepak M. Sampathu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepak M. Sampathu, 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 | 2016 | 83 | |
| 2 | 2007 | 156 | |
| 3 | 2007 | 184 | |
| 4 | Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosisbreakdown → | 2006 | 4830 |
| 5 | 2006 | 260 | |
| 6 | 2005 | 51 | |
| 7 | 2003 | 127 | |
| 8 | 2003 | 112 | |
| 9 | 2002 | 48 | |
| 10 | 2000 | 14 |
About Deepak M. Sampathu
Deepak M. Sampathu is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 5.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Neurological diseases and metabolism (3 papers), Alzheimer's disease research and treatments (3 papers), Nuclear Receptors and Signaling (2 papers), RNA regulation and disease (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Neurology (4.5k citations), Genetics (1.8k citations) and Neurology (1.0k citations). Deepak M. Sampathu has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Virginia M.‐Y. Lee, John Q. Trojanowski, Manuela Neumann, Linda K. Kwong, Jennifer Bruce, Matthew C. Micsenyi, Murray Grossman, Thomas T. Chou, Christopher M. Clark and Eliezer Masliah. Their work appears in journals such as Science, Journal of Biological Chemistry and Biochemistry.
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.