J Willmer
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in ⓘ
-
- Alzheimer's disease research and treatments 3
- Co-authors
- Robert Kisilevsky (6 shared papers)Alan D. Snow (4 shared papers)M Skinner (1 shared paper)Shyh‐Jye Chen (1 shared paper)Iain D. Young (1 shared paper)Stanley B. Prusiner (1 shared paper)S. J. DeArmond (1 shared paper)Fraser W. Saunders (1 shared paper)
- Journals
- Acta Neuropathologica (2 papers)Human Pathology (1 paper)Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques (1 paper)Journal of Psychiatry and Neuroscience (1 paper)PubMed (3 papers)
- Partner nations
- CanadaUnited States
In The Last Decade
J Willmer
9 papers receiving 722 citations
Peers
Comparison fields: 5 of 63
- Physiology 358
- Cell Biology 170
- Neurology 75
- Molecular Biology 581
- Nutrition and Dietetics 101
Countries citing papers authored by J Willmer
This map shows the geographic impact of J Willmer'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 J Willmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Willmer more than expected).
Fields of papers citing papers by J Willmer
This network shows the impact of papers produced by J Willmer. 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 J Willmer. The network helps show where J Willmer may publish in the future.
Co-authors
The 13 scholars most cited alongside J Willmer, 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 | Sulfated glycosaminoglycans: a common constituent of all amyloids? | 1987 | 188 |
| 2 | Further characterization of amyloid-enhancing factor. | 1982 | 177 |
| 3 | 1989 | 100 | |
| 4 | 1987 | 80 | |
| 5 | A close ultrastructural relationship between sulfated proteoglycans and AA amyloid fibrils. | 1987 | 79 |
| 6 | 1989 | 67 | |
| 7 | 1987 | 37 | |
| 8 | Memory Function and Aging-Related Disorders. | 1993 | 16 |
| 9 | 1986 | 2 | |
| 10 | Methods for Interpretation of Scores of 5 Neuropsychological Tests | 2011 | 0 |
About J Willmer
J Willmer is a scholar working on Molecular Medicine, Physiology, Molecular Biology, Psychiatry and Mental health and Neurology, having authored 10 papers that have together received 746 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Prion Diseases and Protein Misfolding (2 papers), Spinal Hematomas and Complications (1 paper), Trace Elements in Health (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Intracranial Aneurysms: Treatment and Complications (1 paper). The work is most often cited by research in Physiology (358 citations), Cell Biology (170 citations), Neurology (75 citations), Molecular Biology (581 citations) and Nutrition and Dietetics (101 citations). J Willmer has collaborated with scholars based in Canada and United States. Frequent co-authors include Robert Kisilevsky, Alan D. Snow, M Skinner, Shyh‐Jye Chen, Iain D. Young, Stanley B. Prusiner, S. J. DeArmond, Fraser W. Saunders, Donald Brunet and Danilo Guzman. Their work appears in journals such as Acta Neuropathologica, Human Pathology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Journal of Psychiatry and Neuroscience and PubMed.
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.