António J. M. Ribeiro
- Molecular Biology top 10%
- Materials Chemistry
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Oncology
- Co-authors
- Maria J. RamosPedro Alexandrino FernandesJanet M. ThorntonJonathan D. TyzackSérgio F. SousaNeera BorkakotiRui P. P. NevesGemma L. Holliday
- Topics
- Protein Structure and Dynamics (15 papers)Enzyme Catalysis and Immobilization (13 papers)Enzyme Structure and Function (11 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- PortugalUnited KingdomItaly
In The Last Decade
António J. M. Ribeiro
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 933
- Materials Chemistry 273
- Organic Chemistry 237
- Computational Theory and Mathematics 202
- Oncology 139
Countries citing papers authored by António J. M. Ribeiro
This map shows the geographic impact of António J. M. Ribeiro'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 António J. M. Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites António J. M. Ribeiro more than expected).
Fields of papers citing papers by António J. M. Ribeiro
This network shows the impact of papers produced by António J. M. Ribeiro. 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 António J. M. Ribeiro. The network helps show where António J. M. Ribeiro may publish in the future.
Co-authorship network of co-authors of António J. M. Ribeiro
This figure shows the co-authorship network connecting the top 25 collaborators of António J. M. Ribeiro. A scholar is included among the top collaborators of António J. M. Ribeiro 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 António J. M. Ribeiro. António J. M. Ribeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | 31 | |
| 6 | 4 | |
| 7 | 88 | |
| 8 | 11 | |
| 9 | 69 | |
| 10 | 16 | |
| 11 | 10 | |
| 12 | 52 | |
| 13 | 21 | |
| 14 | 75 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 42 | |
| 18 | 166 | |
| 19 | 7 | |
| 20 | An Algorithm for Determining the Controllers of Supervised Entities at the First Level: Brazilian Central Bank Case Study. | 1 |
About António J. M. Ribeiro
António J. M. Ribeiro is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Enzyme Catalysis and Immobilization (13 papers) and Enzyme Structure and Function (11 papers). The work is most often cited by research in Molecular Biology (933 citations), Computational Theory and Mathematics (202 citations) and Organic Chemistry (237 citations). António J. M. Ribeiro has collaborated with scholars based in Portugal, United Kingdom and Italy. Frequent co-authors include Maria J. Ramos, Pedro Alexandrino Fernandes, Janet M. Thornton, Jonathan D. Tyzack, Sérgio F. Sousa, Neera Borkakoti, Rui P. P. Neves, Gemma L. Holliday, Nino Russo and João T. S. Coimbra. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.
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.