Gabriel Monteiro da Silva
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- Protein Structure and Dynamics 2
- RNA and protein synthesis mechanisms 2
- Cancer therapeutics and mechanisms 1
- Natural product bioactivities and synthesis 1
- Machine Learning in Bioinformatics 1
- Bioinformatics and Genomic Networks 1
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- Synthesis and biological activity 1
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- Virus-based gene therapy research 1
- Co-authors
- Daniel DiMaioChristopher G. BurdPengwei ZhangBrenda M. RubensteinGeorge P. LisiDavid C. DalgarnoJennifer Y. CuiSilvana Giuliatti
- Journals
- PLoS Computational Biology (2 papers)Neurochemical Research (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesBrazilMexico
In The Last Decade
Gabriel Monteiro da Silva
9 papers receiving 254 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 71
- Microbiology 15
- Pharmacology 34
- Molecular Biology 138
- Pharmacology 15
Countries citing papers authored by Gabriel Monteiro da Silva
This map shows the geographic impact of Gabriel Monteiro da Silva'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 Gabriel Monteiro da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Monteiro da Silva more than expected).
Fields of papers citing papers by Gabriel Monteiro da Silva
This network shows the impact of papers produced by Gabriel Monteiro da Silva. 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 Gabriel Monteiro da Silva. The network helps show where Gabriel Monteiro da Silva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriel Monteiro da Silva, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | High-throughput prediction of protein conformational distributions with subsampled AlphaFold2breakdown → | 2024 | 75 |
| 4 | 2022 | 2 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 27 | |
| 8 | 2018 | 87 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 18 |
About Gabriel Monteiro da Silva
Gabriel Monteiro da Silva is a scholar working on Pharmacology, Molecular Medicine and Pharmacology, having authored 10 papers that have together received 255 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer therapeutics and mechanisms (1 paper), Natural product bioactivities and synthesis (1 paper), Machine Learning in Bioinformatics (1 paper), Synthesis and biological activity (1 paper), Virus-based gene therapy research (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Computational Theory and Mathematics (71 citations), Microbiology (15 citations) and Pharmacology (34 citations). Gabriel Monteiro da Silva has collaborated with scholars based in United States, Brazil and Mexico. Frequent co-authors include Daniel DiMaio, Christopher G. Burd, Pengwei Zhang, Brenda M. Rubenstein, George P. Lisi, David C. Dalgarno, Jennifer Y. Cui, Silvana Giuliatti, Cleydson B. R. Santos and Rodolfo Bortolozo Serafim. Their work appears in journals such as PLoS Computational Biology, Neurochemical Research, Nature Communications, Journal of Biological Chemistry and Journal of Molecular Modeling.
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.