William J. Meilandt
- Neurology top 0.5%
- Physiology top 2%
- Molecular Biology top 10%
- Immunology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Brad A. FriedmanHai NguKimberly Scearce‐LevieMelanie A. HuntleyTiffany WuKarpagam SrinivasanMorgan ShengMatthew H. Bailey
- Topics
- Alzheimer's disease research and treatments (13 papers)Neuroinflammation and Neurodegeneration Mechanisms (10 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
William J. Meilandt
27 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Neurology 1.1k
- Physiology 946
- Molecular Biology 750
- Immunology 482
- Cellular and Molecular Neuroscience 472
Countries citing papers authored by William J. Meilandt
This map shows the geographic impact of William J. Meilandt'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 William J. Meilandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Meilandt more than expected).
Fields of papers citing papers by William J. Meilandt
This network shows the impact of papers produced by William J. Meilandt. 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 William J. Meilandt. The network helps show where William J. Meilandt may publish in the future.
Co-authorship network of co-authors of William J. Meilandt
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Meilandt. A scholar is included among the top collaborators of William J. Meilandt 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 William J. Meilandt. William J. Meilandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in a mouse model of Alzheimer’s diseasebreakdown → | 105 |
| 5 | 50 | |
| 6 | 159 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 321 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 36 | |
| 14 | 278 | |
| 15 | 44 | |
| 16 | A Therapeutic Antibody Targeting Bace1 Inhibits Amyloid-beta Production in Vivo | 45 |
| 17 | 214 | |
| 18 | 119 | |
| 19 | 68 | |
| 20 | 85 |
About William J. Meilandt
William J. Meilandt is a scholar working on Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Neurology (1.1k citations), Biological Psychiatry (166 citations) and Physiology (946 citations). William J. Meilandt has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Brad A. Friedman, Hai Ngu, Kimberly Scearce‐Levie, Melanie A. Huntley, Tiffany Wu, Karpagam Srinivasan, Morgan Sheng, Matthew H. Bailey, Zora Modrušan and Oded Foreman. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.
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.