M. Ângela Taipa
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Biotechnology top 5%
- Spectroscopy top 10%
- Co-authors
- Ana Cecília A. RoqueChristopher R. LoweJoaquim M. S. CabralM. Raquel Aires‐BarrosGabriel A. MonteiroFilipe J. MergulhãoLuís P. FonsecaE. H. M. Melo
- Topics
- Protein purification and stability (16 papers)Enzyme Catalysis and Immobilization (14 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)
- Journals
- The Journal of Physical Chemistry BJournal of Chromatography AApplied Microbiology and Biotechnology
- Partner nations
- PortugalUnited KingdomBrazil
In The Last Decade
M. Ângela Taipa
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.0k
- Radiology, Nuclear Medicine and Imaging 490
- Biomedical Engineering 216
- Biotechnology 146
- Spectroscopy 99
Countries citing papers authored by M. Ângela Taipa
This map shows the geographic impact of M. Ângela Taipa'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 M. Ângela Taipa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ângela Taipa more than expected).
Fields of papers citing papers by M. Ângela Taipa
This network shows the impact of papers produced by M. Ângela Taipa. 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 M. Ângela Taipa. The network helps show where M. Ângela Taipa may publish in the future.
Co-authorship network of co-authors of M. Ângela Taipa
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ângela Taipa. A scholar is included among the top collaborators of M. Ângela Taipa 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 M. Ângela Taipa. M. Ângela Taipa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 214 | |
| 8 | 29 | |
| 9 | 73 | |
| 10 | Design of Bacterial Vector Systems for the Production of Recombinant Proteins in Escherichia coli | 32 |
| 11 | 23 | |
| 12 | 286 | |
| 13 | 13 | |
| 14 | 23 | |
| 15 | 15 | |
| 16 | Recombinant human proinsulin : A new approach in gene assembly and protein expression | 11 |
| 17 | 16 | |
| 18 | 21 | |
| 19 | 5 | |
| 20 | 73 |
About M. Ângela Taipa
M. Ângela Taipa is a scholar working on Biotechnology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein purification and stability (16 papers), Enzyme Catalysis and Immobilization (14 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (490 citations), Biotechnology (146 citations) and Filtration and Separation (35 citations). M. Ângela Taipa has collaborated with scholars based in Portugal, United Kingdom and Brazil. Frequent co-authors include Ana Cecília A. Roque, Christopher R. Lowe, Joaquim M. S. Cabral, M. Raquel Aires‐Barros, Gabriel A. Monteiro, Filipe J. Mergulhão, Luís P. Fonseca, E. H. M. Melo, Helena Santos and J. M. G. Martinho. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Chromatography A and Applied Microbiology and Biotechnology.
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.