M. Ângela Taipa

1.6k citations
42 papers · 1.3k indexed · h-index 19

M. Ângela Taipa

42 papers receiving 1.2k citations

Peers

M. Ângela Taipa
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 490
  • Biotechnology 146
  • Filtration and Separation 35
  • Molecular Biology 1.0k
  • Biomaterials 90
Replace Viktor Menart with:
Viktor Menart Slovenia
Danny K. Chou United States
Derrick S. Katayama United States
Eugene Sulkowski United States
Xavier Santarelli France
Sônia Maria Alves Bueno Brazil
Shan‐Jing Yao China
Vladka Gaberc‐Porekar Slovenia
Trine Christensen United States
Tim Tressel United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Ângela Taipa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside M. Ângela Taipa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Ângela Taipa Line = papers co-authored together M. Ângela Taipa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20238
4 201919
5 20145
6 20088
7 2007214
8 200629
9 200573
10
Design of Bacterial Vector Systems for the Production of Recombinant Proteins in Escherichia coli
200432
11 200423
12 2004286
13 200313
14 200323
15 200315
16
Recombinant human proinsulin : A new approach in gene assembly and protein expression
200011
17 200016
18 200021
19 19995
20 199273

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), Monoclonal and Polyclonal Antibodies Research (11 papers), Click Chemistry and Applications (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Transgenic Plants and Applications (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Microbial Metabolism and Applications (4 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 Applied Biochemistry and Biotechnology, Journal of Biotechnology, Enzyme and Microbial Technology, Journal of Chromatography A and Biotechnology and Applied Biochemistry.

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.

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