Brian J. Avery
Impact in
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Developmental Biology and Gene Regulation
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Cell Biology top 10%
Papers in
-
- Pluripotent Stem Cells Research 2
- Kruppel-like factors research 1
- Glycosylation and Glycoproteins Research 1
- Protein purification and stability 1
- Cancer-related gene regulation 1
- Wnt/β-catenin signaling in development and cancer 1
- Genetics 1
- Chronic Lymphocytic Leukemia Research 1
- Animal Genetics and Reproduction 1
- Co-authors
- Jane Brennan (2 shared papers)William C. Skarnes (2 shared papers)Susan J. Monkley (1 shared paper)William C. Skarnes (1 shared paper)Xiaowei Lu (1 shared paper)Paul Scherz (1 shared paper)Joel Zupicich (1 shared paper)Peri Tate (1 shared paper)
- Journals
- Protein Engineering Design and Selection (1 paper)Nature Genetics (1 paper)Genome Research (1 paper)Nature (1 paper)PubMed (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Brian J. Avery
4 papers receiving 1.4k citations
Brian J. Avery's Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 1.1k
- Cell Biology 191
- Genetics 291
- Cellular and Molecular Neuroscience 161
- Immunology and Allergy 46
Countries citing papers authored by Brian J. Avery
This map shows the geographic impact of Brian J. Avery'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 J. Avery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Avery more than expected).
Fields of papers citing papers by Brian J. Avery
This network shows the impact of papers produced by Brian J. Avery. 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 J. Avery. The network helps show where Brian J. Avery may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian J. Avery, 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 | An LDL-receptor-related protein mediates Wnt signalling in mice Hit paper breakdown → | 2000 | 929 |
| 2 | 2001 | 354 | |
| 3 | 1997 | 74 | |
| 4 | 1996 | 50 | |
| 5 | 2021 | 0 |
About Brian J. Avery
Brian J. Avery is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Cell Biology and Genetics, having authored 5 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Kruppel-like factors research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Protein purification and stability (1 paper), Cancer-related gene regulation (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (191 citations), Genetics (291 citations), Cellular and Molecular Neuroscience (161 citations) and Immunology and Allergy (46 citations). Brian J. Avery has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jane Brennan, William C. Skarnes, Susan J. Monkley, William C. Skarnes, Xiaowei Lu, Paul Scherz, Joel Zupicich, Peri Tate, Paul Wakenight and Olivia Kelly. Their work appears in journals such as Protein Engineering Design and Selection, Nature Genetics, Genome Research, Nature and PubMed.
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.