Robert Fragoza
Impact in
-
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
Papers in
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- Bioinformatics and Genomic Networks 8
- Fungal and yeast genetics research 2
- Protein Structure and Dynamics 2
- Microbial Metabolic Engineering and Bioproduction 2
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
- Genetics 5
- Genomics and Rare Diseases 4
- Co-authors
- Haiyuan Yu (14 shared papers)Siqi Liang (5 shared papers)Xiaomu Wei (5 shared papers)Michael J. Meyer (3 shared papers)Jin Liang (4 shared papers)Juan Felipe Beltrán (2 shared papers)Swagata Pahari (2 shared papers)Emil Alexov (2 shared papers)
- Journals
- Nature Communications (3 papers)Nature Methods (1 paper)Human Molecular Genetics (1 paper)PLoS Genetics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert Fragoza
15 papers receiving 507 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 394
- Aging 8
- Genetics 97
- Computational Theory and Mathematics 53
- Cell Biology 40
Countries citing papers authored by Robert Fragoza
This map shows the geographic impact of Robert Fragoza'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 Robert Fragoza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Fragoza more than expected).
Fields of papers citing papers by Robert Fragoza
This network shows the impact of papers produced by Robert Fragoza. 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 Robert Fragoza. The network helps show where Robert Fragoza may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Fragoza, 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 | 106 | |
| 2 | 2016 | 79 | |
| 3 | 2020 | 70 | |
| 4 | 2018 | 49 | |
| 5 | 2019 | 46 | |
| 6 | 2014 | 37 | |
| 7 | 2020 | 27 | |
| 8 | 2021 | 23 | |
| 9 | 2013 | 22 | |
| 10 | 2014 | 16 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 8 | |
| 13 | 2025 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2022 | 6 |
About Robert Fragoza
Robert Fragoza is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Neurology, having authored 15 papers that have together received 512 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Genomics and Rare Diseases (4 papers), Fungal and yeast genetics research (2 papers), Protein Structure and Dynamics (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), CRISPR and Genetic Engineering (2 papers), Autism Spectrum Disorder Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (394 citations), Aging (8 citations), Genetics (97 citations), Computational Theory and Mathematics (53 citations) and Cell Biology (40 citations). Robert Fragoza has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Haiyuan Yu, Siqi Liang, Xiaomu Wei, Michael J. Meyer, Jin Liang, Juan Felipe Beltrán, Swagata Pahari, Emil Alexov, Gen Li and Aaron Rumack. Their work appears in journals such as Nature Communications, Nature Methods, Human Molecular Genetics, PLoS Genetics and Bioinformatics.
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.