Brian Teague
Impact in
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- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
- Genomics and Phylogenetic Studies
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
Papers in
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- CRISPR and Genetic Engineering 5
- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA Interference and Gene Delivery 2
- Gene Regulatory Network Analysis 2
- Bioinformatics and Genomic Networks 1
- Genetics 3
- Genomic variations and chromosomal abnormalities 2
- Genomics and Rare Diseases 1
- Co-authors
- Ron Weiss (7 shared papers)Tasuku Kitada (2 shared papers)Breanna DiAndreth (1 shared paper)Patrick Guye (1 shared paper)David C. Schwartz (2 shared papers)Evan E. Eichler (2 shared papers)Jeffrey M. Kidd (2 shared papers)Tyler Wagner (2 shared papers)
- Journals
- Science (2 papers)Nature Chemical Biology (1 paper)Nature Genetics (1 paper)Cold Spring Harbor Perspectives in Biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Brian Teague
9 papers receiving 732 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 586
- Genetics 184
- Biotechnology 32
- Biomedical Engineering 134
- Oncology 63
Countries citing papers authored by Brian Teague
This map shows the geographic impact of Brian Teague'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 Teague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Teague more than expected).
Fields of papers citing papers by Brian Teague
This network shows the impact of papers produced by Brian Teague. 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 Teague. The network helps show where Brian Teague may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Teague, 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 | 2018 | 204 | |
| 2 | 2010 | 133 | |
| 3 | 2018 | 119 | |
| 4 | 2010 | 77 | |
| 5 | 2016 | 70 | |
| 6 | 2019 | 59 | |
| 7 | 2018 | 56 | |
| 8 | 2021 | 27 | |
| 9 | 2022 | 5 |
About Brian Teague
Brian Teague is a scholar working on Molecular Biology, Genetics, Plant Science, Oncology and Cell Biology, having authored 9 papers that have together received 750 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Chromosomal and Genetic Variations (2 papers), RNA Interference and Gene Delivery (2 papers), Gene Regulatory Network Analysis (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genomics and Rare Diseases (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Molecular Biology (586 citations), Genetics (184 citations), Biotechnology (32 citations), Biomedical Engineering (134 citations) and Oncology (63 citations). Brian Teague has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Ron Weiss, Tasuku Kitada, Breanna DiAndreth, Patrick Guye, David C. Schwartz, Evan E. Eichler, Jeffrey M. Kidd, Tyler Wagner, Ely Porter and Brian Dobosh. Their work appears in journals such as Science, Nature Chemical Biology, Nature Genetics, Cold Spring Harbor Perspectives in Biology and Scientific Reports.
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.