Matthew Brush
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies
- RNA regulation and disease
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Histone Deacetylase Inhibitors Research
Papers in
-
- Biomedical Text Mining and Ontologies 15
- Bioinformatics and Genomic Networks 3
- Ubiquitin and proteasome pathways 2
-
- Semantic Web and Ontologies 7
- Co-authors
- Shirish Shenolikar (7 shared papers)Douglas C. Weiser (1 shared paper)Melissa Haendel (17 shared papers)Nicole Vasilevsky (12 shared papers)Amaris R. Guardiola (1 shared paper)Holly Paddock (1 shared paper)Laura Ponting (1 shared paper)Tso-Pang Yao (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Molecular and Cellular Biology (2 papers)Database (2 papers)Bioinformatics (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew Brush
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Cell Biology 357
- Molecular Biology 885
- Biophysics 75
- Information Systems and Management 64
- Geriatrics and Gerontology 26
Countries citing papers authored by Matthew Brush
This map shows the geographic impact of Matthew Brush'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 Matthew Brush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Brush more than expected).
Fields of papers citing papers by Matthew Brush
This network shows the impact of papers produced by Matthew Brush. 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 Matthew Brush. The network helps show where Matthew Brush may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Brush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 322 | |
| 2 | 2016 | 174 | |
| 3 | 2013 | 164 | |
| 4 | 2004 | 114 | |
| 5 | 2006 | 73 | |
| 6 | 2009 | 63 | |
| 7 | 2008 | 60 | |
| 8 | 2007 | 59 | |
| 9 | 2015 | 32 | |
| 10 | 2017 | 31 | |
| 11 | 2002 | 31 | |
| 12 | 2011 | 28 | |
| 13 | 2012 | 28 | |
| 14 | 2015 | 25 | |
| 15 | 2015 | 23 | |
| 16 | Developing an application ontology for biomedical resource annotation and retrieval: Challenges and lessons learned | 2011 | 18 |
| 17 | 2015 | 17 | |
| 18 | 2015 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2018 | 13 |
About Matthew Brush
Matthew Brush is a scholar working on Molecular Biology, Artificial Intelligence, Cell Biology, Information Systems and Information Systems and Management, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Scientific Computing and Data Management (4 papers), Genomics and Rare Diseases (3 papers), Bioinformatics and Genomic Networks (3 papers), Ubiquitin and proteasome pathways (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cell Biology (357 citations), Molecular Biology (885 citations), Biophysics (75 citations), Information Systems and Management (64 citations) and Geriatrics and Gerontology (26 citations). Matthew Brush has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Shirish Shenolikar, Douglas C. Weiser, Melissa Haendel, Nicole Vasilevsky, Amaris R. Guardiola, Holly Paddock, Laura Ponting, Tso-Pang Yao, Shreejoy J. Tripathy and John H. Connor. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Database, Bioinformatics and Mammalian Genome.
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.