Justin Paschall
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological diseases and metabolism
-
- Nuclear Receptors and Signaling
Papers in
-
- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 4
- Single-cell and spatial transcriptomics 1
- Genetics 10
- Genetic Associations and Epidemiology 3
- Cleft Lip and Palate Research 2
- Craniofacial Disorders and Treatments 2
- Genomics and Rare Diseases 2
- Co-authors
- Elizabeth Pugh (2 shared papers)Kimberly F. Doheny (3 shared papers)Albert Tenesa (1 shared paper)Denise M. Kay (1 shared paper)John G. Nutt (1 shared paper)Haydeh Payami (1 shared paper)John W. Roberts (1 shared paper)William K. Scott (1 shared paper)
- Journals
- Genes (2 papers)The American Journal of Human Genetics (2 papers)Nature Genetics (1 paper)BMC Biology (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Justin Paschall
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Neurology 299
- Neurology 408
- Cellular and Molecular Neuroscience 240
- Genetics 330
- Biological Psychiatry 21
Countries citing papers authored by Justin Paschall
This map shows the geographic impact of Justin Paschall'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 Justin Paschall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Paschall more than expected).
Fields of papers citing papers by Justin Paschall
This network shows the impact of papers produced by Justin Paschall. 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 Justin Paschall. The network helps show where Justin Paschall may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin Paschall, 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 | Common genetic variation in the HLA region is associated with late-onset sporadic Parkinson's disease Hit paper breakdown → | 2010 | 584 |
| 2 | 2012 | 174 | |
| 3 | 2014 | 120 | |
| 4 | 2010 | 60 | |
| 5 | 2011 | 40 | |
| 6 | 2023 | 32 | |
| 7 | 2004 | 29 | |
| 8 | 2008 | 23 | |
| 9 | 2006 | 22 | |
| 10 | 2016 | 13 | |
| 11 | 2006 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2007 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2025 | 0 |
About Justin Paschall
Justin Paschall is a scholar working on Molecular Biology, Genetics, Rheumatology, Materials Chemistry and Surgery, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (4 papers), Genetic Associations and Epidemiology (3 papers), Cleft Lip and Palate Research (2 papers), Craniofacial Disorders and Treatments (2 papers), Enzyme Structure and Function (2 papers), Genomics and Rare Diseases (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Neurology (299 citations), Neurology (408 citations), Cellular and Molecular Neuroscience (240 citations), Genetics (330 citations) and Biological Psychiatry (21 citations). Justin Paschall has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Elizabeth Pugh, Kimberly F. Doheny, Albert Tenesa, Denise M. Kay, John G. Nutt, Haydeh Payami, John W. Roberts, William K. Scott, Alida Griffith and Ali Samii. Their work appears in journals such as Genes, The American Journal of Human Genetics, Nature Genetics, BMC Biology and Molecular & Cellular Proteomics.
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.