David A. Dyment
Impact in
- Pathology and Forensic Medicine top 0.2%
- Multiple Sclerosis Research Studies
- Vitamin D Research Studies
- Immunology top 1%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
Papers in
-
- Multiple Sclerosis Research Studies 30
- Genetics 50
- Genomics and Rare Diseases 22
- Genetics and Neurodevelopmental Disorders 18
- Genomic variations and chromosomal abnormalities 10
- Co-authors
- George C. EbersA. Dessa SadovnickNeil RischKym M. BoycottBlanca HerreraMatthew R. LincolnCristen J. WillerGabriele C. DeLuca
- Journals
- Clinical Genetics (9 papers)Neurology (5 papers)Journal of Neuroimmunology (4 papers)Neurology Genetics (4 papers)Human Molecular Genetics (4 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
David A. Dyment
126 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 131
- Pathology and Forensic Medicine 2.3k
- Immunology 1.6k
- Rheumatology 675
- Genetics 1.2k
- Neurology 227
Countries citing papers authored by David A. Dyment
This map shows the geographic impact of David A. Dyment'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 David A. Dyment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Dyment more than expected).
Fields of papers citing papers by David A. Dyment
This network shows the impact of papers produced by David A. Dyment. 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 David A. Dyment. The network helps show where David A. Dyment may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Dyment, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 14 | |
| 7 | 2018 | 75 | |
| 8 | 2017 | 11 | |
| 9 | 2015 | 12 | |
| 10 | 2014 | 64 | |
| 11 | 2014 | 32 | |
| 12 | 2013 | 130 | |
| 13 | 2009 | 74 | |
| 14 | Prenatal, perinatal and early life factors in MS susceptibility | 2009 | 1 |
| 15 | 2009 | 18 | |
| 16 | 2008 | 40 | |
| 17 | 2007 | 133 | |
| 18 | 2007 | 4 | |
| 19 | 2004 | 383 | |
| 20 | 2002 | 39 |
About David A. Dyment
David A. Dyment is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Clinical Biochemistry and Rheumatology, having authored 129 papers that have together received 5.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (30 papers), Genomics and Rare Diseases (22 papers), T-cell and B-cell Immunology (18 papers), Genetics and Neurodevelopmental Disorders (18 papers), Genomic variations and chromosomal abnormalities (10 papers), RNA modifications and cancer (10 papers), Systemic Lupus Erythematosus Research (9 papers) and Metabolism and Genetic Disorders (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.3k citations), Immunology (1.6k citations), Rheumatology (675 citations), Genetics (1.2k citations) and Neurology (227 citations). David A. Dyment has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include George C. Ebers, A. Dessa Sadovnick, Neil Risch, Kym M. Boycott, Blanca Herrera, Matthew R. Lincoln, Cristen J. Willer, Gabriele C. DeLuca, Sreeram V. Ramagopalan and Jacek Majewski. Their work appears in journals such as Clinical Genetics, Neurology, Journal of Neuroimmunology, Neurology Genetics and Human Molecular Genetics.
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.