Garyk Brixi
Impact in
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- Machine Learning in Bioinformatics
- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
Papers in ⓘ
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- RNA and protein synthesis mechanisms 2
- Protein Degradation and Inhibitors 1
- Machine Learning in Bioinformatics 1
- Genomics and Phylogenetic Studies 1
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- Food Security and Health in Diverse Populations 2
- Co-authors
- Pasi A. Jänne (1 shared paper)Xin Zhou (1 shared paper)William W. Feng (1 shared paper)Dingpeng Zhang (1 shared paper)Francesco Facchinetti (1 shared paper)Matthew G. Durrant (1 shared paper)Tina Hernandez‐Boussard (1 shared paper)Dhruva Katrekar (1 shared paper)
- Journals
- Nature (1 paper)eLife (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Advances in Nutrition (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Garyk Brixi
7 papers receiving 271 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 6
- Molecular Biology 171
- Aging 3
- Business and International Management 3
- Nutrition and Dietetics 23
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 | 127 |
| 2 | Transferrin receptor targeting chimeras for membrane protein degradation Hit paper breakdown → | 2024 | 59 |
| 3 | 2023 | 36 | |
| 4 | 2024 | 27 | |
| 5 | 2021 | 16 | |
| 6 | 2018 | 13 | |
| 7 | Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale | 2025 | 1 |
About Garyk Brixi
Garyk Brixi is a scholar working on Molecular Biology, General Health Professions, Nutrition and Dietetics, Psychiatry and Mental health and Artificial Intelligence, having authored 7 papers that have together received 279 indexed citations. Recurring topics across this work include Child Nutrition and Feeding Issues (2 papers), Food Security and Health in Diverse Populations (2 papers), RNA and protein synthesis mechanisms (2 papers), Child Nutrition and Water Access (2 papers), Protein Degradation and Inhibitors (1 paper), Natural Language Processing Techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Health Informatics (6 citations), Molecular Biology (171 citations), Aging (3 citations), Business and International Management (3 citations) and Nutrition and Dietetics (23 citations). Garyk Brixi has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Pasi A. Jänne, Xin Zhou, William W. Feng, Dingpeng Zhang, Francesco Facchinetti, Matthew G. Durrant, Tina Hernandez‐Boussard, Dhruva Katrekar, Christopher Ré and Patrick D. Hsu. Their work appears in journals such as Nature, eLife, Science, Proceedings of the National Academy of Sciences and Advances in Nutrition.
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.