Garyk Brixi
Impact in
-
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- Protein Structure and Dynamics
Papers in
-
- RNA and protein synthesis mechanisms 2
- Pluripotent Stem Cells Research 1
- Protein Degradation and Inhibitors 1
-
- Food Security and Health in Diverse Populations 2
- Co-authors
- William W. Feng (1 shared paper)Francesco Facchinetti (1 shared paper)Xin Zhou (1 shared paper)Dingpeng Zhang (1 shared paper)Pasi A. Jänne (1 shared paper)Madelena Y. Ng (1 shared paper)Stephen A. Baccus (1 shared paper)Stefano Ermon (2 shared papers)
- Journals
- Advances in Nutrition (1 paper)Proceedings of the National Academy of Sciences (1 paper)eLife (1 paper)Maternal and Child Nutrition (1 paper)Science (1 paper)
- Partner nations
- United StatesSwitzerlandMalawi
In The Last Decade
Garyk Brixi
7 papers receiving 362 citations
Garyk Brixi's Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 6
- Molecular Biology 193
- Aging 3
- Nutrition and Dietetics 22
- Business and International Management 3
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 | 179 |
| 2 | Transferrin receptor targeting chimeras for membrane protein degradation Hit paper breakdown → | 2024 | 78 |
| 3 | 2024 | 43 | |
| 4 | 2023 | 40 | |
| 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 370 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (2 papers), Food Security and Health in Diverse Populations (2 papers), Child Nutrition and Feeding Issues (2 papers), RNA and protein synthesis mechanisms (2 papers), Animal Genetics and Reproduction (1 paper), Pluripotent Stem Cells Research (1 paper), Protein Degradation and Inhibitors (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (6 citations), Molecular Biology (193 citations), Aging (3 citations), Nutrition and Dietetics (22 citations) and Business and International Management (3 citations). Garyk Brixi has collaborated with scholars based in United States, Switzerland and Malawi. Frequent co-authors include William W. Feng, Francesco Facchinetti, Xin Zhou, Dingpeng Zhang, Pasi A. Jänne, Madelena Y. Ng, Stephen A. Baccus, Stefano Ermon, Armin W. Thomas and S. B. King. Their work appears in journals such as Advances in Nutrition, Proceedings of the National Academy of Sciences, eLife, Maternal and Child Nutrition and Science.
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.