Will Macnair
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Mark D. Robinson (3 shared papers)Pierre‐Luc Germain (2 shared papers)Aaron T. L. Lun (2 shared papers)Julien Bryois (2 shared papers)Manfred Claassen (5 shared papers)Victor A. Iglesias (1 shared paper)Sandra Amor (1 shared paper)Anna Cathy Williams (1 shared paper)
- Journals
- Neuron (2 papers)Nature Neuroscience (2 papers)F1000Research (2 papers)Journal of Cell Science (1 paper)Molecular Therapy — Oncolytics (1 paper)
- Partner nations
- SwitzerlandNetherlandsUnited Kingdom
In The Last Decade
Will Macnair
14 papers receiving 1.1k citations
Will Macnair's Hit Papers
Peers
Comparison fields: 5 of 87
- Developmental Neuroscience 67
- Neurology 104
- Immunology 233
- Molecular Biology 533
- Cancer Research 92
Countries citing papers authored by Will Macnair
This map shows the geographic impact of Will Macnair'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 Will Macnair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Macnair more than expected).
Fields of papers citing papers by Will Macnair
This network shows the impact of papers produced by Will Macnair. 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 Will Macnair. The network helps show where Will Macnair may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Macnair, 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 | Doublet identification in single-cell sequencing data using scDblFinder Hit paper breakdown → | 2021 | 596 |
| 2 | Doublet identification in single-cell sequencing data using scDblFinder Hit paper breakdown → | 2022 | 218 |
| 3 | Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders Hit paper breakdown → | 2022 | 160 |
| 4 | 2023 | 57 | |
| 5 | 2017 | 33 | |
| 6 | 2024 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 2025 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2019 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2026 | 1 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About Will Macnair
Will Macnair is a scholar working on Neurology, Developmental Neuroscience, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Gene Regulatory Network Analysis (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Multiple Sclerosis Research Studies (2 papers), Cancer Genomics and Diagnostics (1 paper), Cell Adhesion Molecules Research (1 paper), CRISPR and Genetic Engineering (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Developmental Neuroscience (67 citations), Neurology (104 citations), Immunology (233 citations), Molecular Biology (533 citations) and Cancer Research (92 citations). Will Macnair has collaborated with scholars based in Switzerland, Netherlands and United Kingdom. Frequent co-authors include Mark D. Robinson, Pierre‐Luc Germain, Aaron T. L. Lun, Julien Bryois, Manfred Claassen, Victor A. Iglesias, Sandra Amor, Anna Cathy Williams, Philip L. De Jager and Lynette C. Foo. Their work appears in journals such as Neuron, Nature Neuroscience, F1000Research, Journal of Cell Science and Molecular Therapy — Oncolytics.
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.