Jacinda B. Sampson
- Genetics top 2%
- Neurogenetic and Muscular Disorders Research 7
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 7
- Amyotrophic Lateral Sclerosis Research 7
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 7
- Amyotrophic Lateral Sclerosis Research 7
- Physiology top 5%
- Biochemistry top 5%
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- Genetic Neurodegenerative Diseases 14
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- Connexins and lens biology 7
- Mitochondrial Function and Pathology 6
- Muscle Physiology and Disorders 5
- RNA Research and Splicing 4
- Co-authors
- Joseph S. BeckmanJohn P. CrowHenry RosenYingxin ZhuangRichard S. FinkelKevin M. FlaniganDale W. LairdJohn Day
- Cited by
- GeneticsNeurologyPhysiology
- Journals
- Neurology (4 papers)Neuromuscular Disorders (4 papers)Archives of Biochemistry and Biophysics (2 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Jacinda B. Sampson
48 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Genetics 376
- Neurology 376
- Neurology 179
- Physiology 447
- Biochemistry 107
Countries citing papers authored by Jacinda B. Sampson
This map shows the geographic impact of Jacinda B. Sampson'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 Jacinda B. Sampson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacinda B. Sampson more than expected).
Fields of papers citing papers by Jacinda B. Sampson
This network shows the impact of papers produced by Jacinda B. Sampson. 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 Jacinda B. Sampson. The network helps show where Jacinda B. Sampson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacinda B. Sampson, 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 | 2024 | 3 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 38 | |
| 6 | 2019 | 5 | |
| 7 | 2018 | 19 | |
| 8 | 2018 | 143 | |
| 9 | 2018 | 7 | |
| 10 | 2017 | 0 | |
| 11 | 2016 | 20 | |
| 12 | 2015 | 12 | |
| 13 | 2013 | 172 | |
| 14 | 2007 | 7 | |
| 15 | 2006 | 1 | |
| 16 | 2002 | 30 | |
| 17 | 2001 | 34 | |
| 18 | 2000 | 43 | |
| 19 | 1997 | 398 | |
| 20 | 1996 | 62 |
About Jacinda B. Sampson
Jacinda B. Sampson is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (14 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (7 papers), Connexins and lens biology (7 papers), Mitochondrial Function and Pathology (6 papers), Muscle Physiology and Disorders (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (376 citations), Neurology (376 citations), Neurology (179 citations), Physiology (447 citations) and Biochemistry (107 citations). Jacinda B. Sampson has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Joseph S. Beckman, John P. Crow, Henry Rosen, Yingxin Zhuang, Joseph S. Beckman, Richard S. Finkel, Kevin M. Flanigan, Dale W. Laird, John Day and Gary Elfring. Their work appears in journals such as Neurology, Neuromuscular Disorders, Archives of Biochemistry and Biophysics, Free Radical Biology and Medicine and Muscle & Nerve.
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.