Michelle L. Thompson
- Aging top 10%
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies 3
- Sensory Systems top 10%
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies 3
- Cognitive Neuroscience top 10%
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- Genomics and Rare Diseases 12
- Genetics and Neurodevelopmental Disorders 5
- Genomic variations and chromosomal abnormalities 4
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- Pain Management and Opioid Use 3
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- Animal Behavior and Reproduction 3
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- Genetic Neurodegenerative Diseases 3
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- Pain Mechanisms and Treatments 3
- Co-authors
- Patrick W. MantyhRobert PatuzziG.W. ThickbroomFrank MastagliaPaul SaccoStephane ChartierAndrew E. McKechnieGeraldine Longo
- Cited by
- AgingNeurologySensory Systems
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
Michelle L. Thompson
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Aging 37
- Neurology 159
- Sensory Systems 54
- Neurology 130
- Cognitive Neuroscience 156
Countries citing papers authored by Michelle L. Thompson
This map shows the geographic impact of Michelle L. Thompson'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 Michelle L. Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle L. Thompson more than expected).
Fields of papers citing papers by Michelle L. Thompson
This network shows the impact of papers produced by Michelle L. Thompson. 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 Michelle L. Thompson. The network helps show where Michelle L. Thompson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michelle L. Thompson, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 10 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 32 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 3 | |
| 13 | 2015 | 23 | |
| 14 | 2015 | 11 | |
| 15 | 2014 | 44 | |
| 16 | 2013 | 200 | |
| 17 | Yeast Reveal a ‘Druggable’ Rsp5/Nedd4 Network That Ameliorates α-Synuclein Toxicity in Neurons | 2013 | 2 |
| 18 | Local demographics of the polychaete Chaetopterus pergamentaceus within the lower Chesapeake Bay and relationships to environmental gradients | 2000 | 3 |
| 19 | 1997 | 104 | |
| 20 | 1991 | 55 |
About Michelle L. Thompson
Michelle L. Thompson is a scholar working on Anesthesiology and Pain Medicine, Aging and Genetics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), Genetics and Neurodevelopmental Disorders (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Pain Management and Opioid Use (3 papers), Animal Behavior and Reproduction (3 papers), Genetic Neurodegenerative Diseases (3 papers), Pain Mechanisms and Treatments (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). The work is most often cited by research in Aging (37 citations), Neurology (159 citations) and Sensory Systems (54 citations). Michelle L. Thompson has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Patrick W. Mantyh, Robert Patuzzi, G.W. Thickbroom, Frank Mastaglia, Paul Sacco, Stephane Chartier, Andrew E. McKechnie, Geraldine Longo, Lisa Majuta and Kim A. Caldwell. Their work appears in journals such as Science, PLoS ONE and Brain.
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.