Brian S. Hilbush
- Molecular Biology top 10%
- Immunology top 10%
- Physiology top 10%
- Neurology top 5%
- Epidemiology top 10%
- Co-authors
- J. Gregor SutcliffeKarl W. HaselJames P. MorganPatria E. DanielsonMark R. FreySonia MichailNicholas V. ReoRob Fanter
- Topics
- Genomics and Phylogenetic Studies (4 papers)Glycosylation and Glycoproteins Research (3 papers)Genomics and Rare Diseases (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesBelgiumPoland
In The Last Decade
Brian S. Hilbush
23 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 818
- Immunology 345
- Physiology 312
- Neurology 286
- Epidemiology 279
Countries citing papers authored by Brian S. Hilbush
This map shows the geographic impact of Brian S. Hilbush'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 Brian S. Hilbush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian S. Hilbush more than expected).
Fields of papers citing papers by Brian S. Hilbush
This network shows the impact of papers produced by Brian S. Hilbush. 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 Brian S. Hilbush. The network helps show where Brian S. Hilbush may publish in the future.
Co-authorship network of co-authors of Brian S. Hilbush
This figure shows the co-authorship network connecting the top 25 collaborators of Brian S. Hilbush. A scholar is included among the top collaborators of Brian S. Hilbush 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 Brian S. Hilbush. Brian S. Hilbush is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 272 | |
| 3 | 8 | |
| 4 | Quantitative Analysis of Shotgun Metagenomic Data with the Real Time Genomics Platform | 2 |
| 5 | 1 | |
| 6 | 90 | |
| 7 | 158 | |
| 8 | 52 | |
| 9 | 29 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 270 | |
| 14 | 98 | |
| 15 | 8 | |
| 16 | 56 | |
| 17 | 105 | |
| 18 | 78 | |
| 19 | 34 | |
| 20 | 8 |
About Brian S. Hilbush
Brian S. Hilbush is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Immunology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Neurology (286 citations), Immunology (345 citations) and Developmental Neuroscience (59 citations). Brian S. Hilbush has collaborated with scholars based in United States, Belgium and Poland. Frequent co-authors include J. Gregor Sutcliffe, Karl W. Hasel, James P. Morgan, Patria E. Danielson, Mark R. Frey, Sonia Michail, Nicholas V. Reo, Rob Fanter, Oleg Paliy and Judith R. Cooper. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.