T. Grant Belgard
- Molecular Biology top 5%
- Cognitive Neuroscience top 5%
- Genetics top 5%
- Neurology top 2%
- Cancer Research top 5%
- Co-authors
- Chris P. PontingDaniel H. GeschwindNeelroop ParikshakVivek SwarupMatthew G. HoltAraks MartirosyanZoltán MolnárMykhailo Y. Batiuk
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Single-cell and spatial transcriptomics (4 papers)Genomics and Phylogenetic Studies (4 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
T. Grant Belgard
22 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.5k
- Cognitive Neuroscience 627
- Genetics 608
- Neurology 498
- Cancer Research 452
Countries citing papers authored by T. Grant Belgard
This map shows the geographic impact of T. Grant Belgard'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 T. Grant Belgard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Grant Belgard more than expected).
Fields of papers citing papers by T. Grant Belgard
This network shows the impact of papers produced by T. Grant Belgard. 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 T. Grant Belgard. The network helps show where T. Grant Belgard may publish in the future.
Co-authorship network of co-authors of T. Grant Belgard
This figure shows the co-authorship network connecting the top 25 collaborators of T. Grant Belgard. A scholar is included among the top collaborators of T. Grant Belgard 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 T. Grant Belgard. T. Grant Belgard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 70 | |
| 5 | Identification of region-specific astrocyte subtypes at single cell resolutionbreakdown → | 499 |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 62 | |
| 9 | 63 | |
| 10 | 185 | |
| 11 | 144 | |
| 12 | Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autismbreakdown → | 445 |
| 13 | 92 | |
| 14 | 183 | |
| 15 | 7 | |
| 16 | 57 | |
| 17 | 137 | |
| 18 | 9 | |
| 19 | 223 | |
| 20 | 227 |
About T. Grant Belgard
T. Grant Belgard is a scholar working on Developmental Neuroscience, Neurology and Molecular Biology, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Single-cell and spatial transcriptomics (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Developmental Neuroscience (298 citations), Neurology (498 citations) and Cognitive Neuroscience (627 citations). T. Grant Belgard has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Chris P. Ponting, Daniel H. Geschwind, Neelroop Parikshak, Vivek Swarup, Matthew G. Holt, Araks Martirosyan, Zoltán Molnár, Mykhailo Y. Batiuk, Filip de Vin and Catherine Marneffe. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.