Jeffrey E. Barrick
- Genetics top 0.1%
- Evolution and Genetic Dynamics 42
- Bacterial Genetics and Biotechnology 21
- Molecular Medicine top 0.5%
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 35
- Genomics and Phylogenetic Studies 27
- CRISPR and Genetic Engineering 22
- Gene Regulatory Network Analysis 14
- RNA modifications and cancer 13
- Endocrinology top 1%
- Ecology top 1%
- Bacteriophages and microbial interactions 15
- Co-authors
- Richard E. LenskiRonald R. BreakerDaniel E. DeatherageWade C. WinklerMaumita MandalNarasimhan SudarsanDominique SchneiderWalter L. Ruzzo
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Science (5 papers)Nucleic Acids Research (5 papers)
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Jeffrey E. Barrick
107 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Genetics 5.4k
- Molecular Medicine 571
- Molecular Biology 7.6k
- Endocrinology 484
- Ecology 1.8k
Countries citing papers authored by Jeffrey E. Barrick
This map shows the geographic impact of Jeffrey E. Barrick'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 Jeffrey E. Barrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey E. Barrick more than expected).
Fields of papers citing papers by Jeffrey E. Barrick
This network shows the impact of papers produced by Jeffrey E. Barrick. 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 Jeffrey E. Barrick. The network helps show where Jeffrey E. Barrick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey E. Barrick, 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 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 12 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 107 | |
| 6 | Engineered symbionts activate honey bee immunity and limit pathogensbreakdown → | 2020 | 175 |
| 7 | 2020 | 2 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 24 | |
| 10 | 2017 | 96 | |
| 11 | 2015 | 108 | |
| 12 | 2014 | 68 | |
| 13 | 2012 | 345 | |
| 14 | 2011 | 229 | |
| 15 | 2006 | 31 | |
| 16 | 2006 | 201 | |
| 17 | 2004 | 387 | |
| 18 | 2004 | 405 | |
| 19 | 2001 | 37 | |
| 20 | 2000 | 131 |
About Jeffrey E. Barrick
Jeffrey E. Barrick is a scholar working on Genetics, Insect Science, Molecular Biology, Ecology and Molecular Medicine, having authored 114 papers that have together received 10.9k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (42 papers), RNA and protein synthesis mechanisms (35 papers), Genomics and Phylogenetic Studies (27 papers), CRISPR and Genetic Engineering (22 papers), Bacterial Genetics and Biotechnology (21 papers), Bacteriophages and microbial interactions (15 papers), Gene Regulatory Network Analysis (14 papers) and RNA modifications and cancer (13 papers). The work is most often cited by research in Genetics (5.4k citations), Molecular Medicine (571 citations), Molecular Biology (7.6k citations), Endocrinology (484 citations) and Ecology (1.8k citations). Jeffrey E. Barrick has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Richard E. Lenski, Ronald R. Breaker, Daniel E. Deatherage, Wade C. Winkler, Maumita Mandal, Narasimhan Sudarsan, Dominique Schneider, Walter L. Ruzzo, Zasha Weinberg and Zachary D. Blount. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Nucleic Acids Research, Nature Communications and Journal of Bacteriology.
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.