Garyk Brixi
Impact in
- Health Informatics top 10%
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- Machine Learning in Bioinformatics
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Protein Degradation and Inhibitors 3
- Genomics and Phylogenetic Studies 2
- Machine Learning in Bioinformatics 2
- Pluripotent Stem Cells Research 1
- Protein Structure and Dynamics 1
- Genomics and Chromatin Dynamics 1
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- Child Nutrition and Water Access 2
- Co-authors
- Dingpeng Zhang (1 shared paper)William W. Feng (1 shared paper)Xin X. Zhou (1 shared paper)Pasi Antero Janne (1 shared paper)Francesco Facchinetti (1 shared paper)Stephen A. Baccus (1 shared paper)Stefano Ermon (1 shared paper)Brian Kang (1 shared paper)
- Journals
- Nature (2 papers)Science (2 papers)eLife (1 paper)Advances in Nutrition (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandFinland
In The Last Decade
Garyk Brixi
10 papers receiving 582 citations
Garyk Brixi's Hit Papers
Peers
Comparison fields: 5 of 67
- Health Informatics 25
- Molecular Biology 404
- Computational Theory and Mathematics 31
- Nutrition and Dietetics 24
- Ecology 26
Countries citing papers authored by Garyk Brixi
This map shows the geographic impact of Garyk Brixi'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 Garyk Brixi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garyk Brixi more than expected).
Fields of papers citing papers by Garyk Brixi
This network shows the impact of papers produced by Garyk Brixi. 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 Garyk Brixi. The network helps show where Garyk Brixi may publish in the future.
Co-authors
The 25 scholars most cited alongside Garyk Brixi, 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 | Sequence modeling and design from molecular to genome scale with Evo Hit paper breakdown → | 2024 | 277 |
| 2 | Transferrin receptor targeting chimeras for membrane protein degradation Hit paper breakdown → | 2024 | 116 |
| 3 | 2023 | 55 | |
| 4 | 2024 | 55 | |
| 5 | 2026 | 35 | |
| 6 | 2023 | 25 | |
| 7 | 2021 | 19 | |
| 8 | 2018 | 13 | |
| 9 | 2026 | 3 | |
| 10 | 2023 | 1 |
About Garyk Brixi
Garyk Brixi is a scholar working on Molecular Biology, Nutrition and Dietetics, Ecology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 599 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Child Nutrition and Water Access (2 papers), Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (2 papers), Pluripotent Stem Cells Research (1 paper), Bacteriophages and microbial interactions (1 paper), Protein Structure and Dynamics (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Health Informatics (25 citations), Molecular Biology (404 citations), Computational Theory and Mathematics (31 citations), Nutrition and Dietetics (24 citations) and Ecology (26 citations). Garyk Brixi has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include Dingpeng Zhang, William W. Feng, Xin X. Zhou, Pasi Antero Janne, Francesco Facchinetti, Stephen A. Baccus, Stefano Ermon, Brian Kang, Tina Hernandez‐Boussard and Aaron Lou. Their work appears in journals such as Nature, Science, eLife, Advances in Nutrition and Proceedings of the National Academy of Sciences.
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.