Alan D. Snow
- Molecular Biology top 5%
- Physiology top 1%
- Cell Biology top 1%
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Thomas N. WightDavid NochlinRobert KisilevskyKoji KimataJ WillmerGerardo M. CastilloRaymond SekiguchiH Mar
- Topics
- Alzheimer's disease research and treatments (29 papers)Proteoglycans and glycosaminoglycans research (16 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (14 papers)
- Cited by
- PhysiologyCell BiologyNeurology
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Alan D. Snow
66 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.4k
- Physiology 2.0k
- Cell Biology 1.1k
- Neurology 513
- Cellular and Molecular Neuroscience 293
Countries citing papers authored by Alan D. Snow
This map shows the geographic impact of Alan D. Snow'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 Alan D. Snow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan D. Snow more than expected).
Fields of papers citing papers by Alan D. Snow
This network shows the impact of papers produced by Alan D. Snow. 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 Alan D. Snow. The network helps show where Alan D. Snow may publish in the future.
Co-authorship network of co-authors of Alan D. Snow
This figure shows the co-authorship network connecting the top 25 collaborators of Alan D. Snow. A scholar is included among the top collaborators of Alan D. Snow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alan D. Snow. Alan D. Snow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 55 | |
| 3 | Large-Scale Flood Inundation Modeling in Data Sparse Environments using TanDEM-X Terrain Data | 5 |
| 4 | Comparison of physical and semi-empirical hydraulic models for flood inundation mapping | 1 |
| 5 | Hyper-Resolution Large Scale Flood Inundation Modeling: Development of AutoRAPID Model | 2 |
| 6 | 16 | |
| 7 | 10 | |
| 8 | 218 | |
| 9 | 20 | |
| 10 | 19 | |
| 11 | 110 | |
| 12 | 66 | |
| 13 | 40 | |
| 14 | 37 | |
| 15 | 76 | |
| 16 | 214 | |
| 17 | Immunolocalization of heparan sulfate proteoglycans to the prion protein amyloid plaques of Gerstmann-Straussler syndrome, Creutzfeldt-Jakob disease and scrapie. | 141 |
| 18 | 100 | |
| 19 | 80 | |
| 20 | Morphometric study of the rat duodenal epithelium during the initial six months of 1,2-dimethylhydrazine carcinogenesis. | 7 |
About Alan D. Snow
Alan D. Snow is a scholar working on Physiology, Cell Biology and Neurology, having authored 66 papers that have together received 3.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Proteoglycans and glycosaminoglycans research (16 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (14 papers). The work is most often cited by research in Physiology (2.0k citations), Cell Biology (1.1k citations) and Neurology (513 citations). Alan D. Snow has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Thomas N. Wight, David Nochlin, Robert Kisilevsky, Koji Kimata, J Willmer, Gerardo M. Castillo, Raymond Sekiguchi, H Mar, Joel A. Cummings and Catherine Ngo. Their work appears in journals such as Neuron, Journal of Molecular Biology and Neurology.
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.