César de Oliveira
- Molecular Biology
- Plant Science top 5%
- Biomedical Engineering
- Computational Theory and Mathematics top 10%
- Fluid Flow and Transfer Processes top 10%
- Co-authors
- Stefan KepinskiGeraint ParryLaura B. SheardSarah Hwa In LeeAnthony IvetacNing ZhengMark EstelleLuz Irina A. Calderón Villalobos
- Topics
- Computational Drug Discovery Methods (3 papers)Microbial Natural Products and Biosynthesis (2 papers)Protein Structure and Dynamics (2 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
César de Oliveira
11 papers receiving 645 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Molecular Biology 446
- Plant Science 430
- Biomedical Engineering 72
- Computational Theory and Mathematics 50
- Fluid Flow and Transfer Processes 48
Countries citing papers authored by César de Oliveira
This map shows the geographic impact of César de Oliveira'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 César de Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites César de Oliveira more than expected).
Fields of papers citing papers by César de Oliveira
This network shows the impact of papers produced by César de Oliveira. 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 César de Oliveira. The network helps show where César de Oliveira may publish in the future.
Co-authorship network of co-authors of César de Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of César de Oliveira. A scholar is included among the top collaborators of César de Oliveira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with César de Oliveira. César de Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 23 | |
| 3 | 42 | |
| 4 | 12 | |
| 5 | A combinatorial TIR1/AFB–Aux/IAA co-receptor system for differential sensing of auxinbreakdown → | 445 |
| 6 | 36 | |
| 7 | 19 | |
| 8 | 75 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 2 |
About César de Oliveira
César de Oliveira is a scholar working on Pharmacology, Computational Theory and Mathematics and Fluid Flow and Transfer Processes, having authored 11 papers that have together received 667 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Plant Science (430 citations), Fluid Flow and Transfer Processes (48 citations) and Molecular Biology (446 citations). César de Oliveira has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Stefan Kepinski, Geraint Parry, Laura B. Sheard, Sarah Hwa In Lee, Anthony Ivetac, Ning Zheng, Mark Estelle, Luz Irina A. Calderón Villalobos, Wolfgang Brandt and Richard Napier. Their work appears in journals such as Nature Chemical Biology, Renewable Energy and Journal of Chemical Theory and Computation.
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.