João A. Queiroz
- Toxicology top 0.2%
- Molecular Biology top 1%
- RNA Interference and Gene Delivery 83
- Protein purification and stability 63
- Advanced biosensing and bioanalysis techniques 58
- DNA and Nucleic Acid Chemistry 33
- Filtration and Separation top 2%
- Biomaterials top 1%
- Biotechnology top 1%
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- Bacteriophages and microbial interactions 32
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- Virus-based gene therapy research 25
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- Monoclonal and Polyclonal Antibodies Research 25
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- Analytical Chemistry and Chromatography 21
- Co-authors
- Fani SousaFernanda DominguesD.M.F. PrazeresEugénia GallardoSusana FerreiraÂngela SousaCândida T. TomazJoaquim M. S. Cabral
- Partner nations
- PortugalFranceUnited States
In The Last Decade
João A. Queiroz
281 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 170
- Toxicology 415
- Molecular Biology 5.1k
- Filtration and Separation 125
- Biomaterials 770
- Biotechnology 506
Countries citing papers authored by João A. Queiroz
This map shows the geographic impact of João A. Queiroz'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 João A. Queiroz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João A. Queiroz more than expected).
Fields of papers citing papers by João A. Queiroz
This network shows the impact of papers produced by João A. Queiroz. 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 João A. Queiroz. The network helps show where João A. Queiroz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside João A. Queiroz, 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 | 2024 | 0 | |
| 2 | 2020 | 20 | |
| 3 | 2019 | 22 | |
| 4 | 2018 | 117 | |
| 5 | 2018 | 5 | |
| 6 | 2016 | 20 | |
| 7 | 2015 | 22 | |
| 8 | 2015 | 69 | |
| 9 | 2014 | 76 | |
| 10 | 2011 | 14 | |
| 11 | 2011 | 9 | |
| 12 | 2010 | 17 | |
| 13 | 2010 | 39 | |
| 14 | 2009 | 22 | |
| 15 | 2009 | 27 | |
| 16 | 2009 | 32 | |
| 17 | Production of ColE1 Type Plasmid by Escherichia coli $DH5\alpha$ Cultured Under Nonselective Conditions | 2006 | 12 |
| 18 | Production of a Fusion Protein Containing the Antigenic Domain 1 of Human Cytomegalovirus Glycoprotein B | 2006 | 2 |
| 19 | 2006 | 61 | |
| 20 | PIL: A Tool for Pre-implementation of LOTOS | 1990 | 1 |
About João A. Queiroz
João A. Queiroz is a scholar working on Toxicology, Molecular Biology and Biotechnology, having authored 284 papers that have together received 8.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (83 papers), Protein purification and stability (63 papers), Advanced biosensing and bioanalysis techniques (58 papers), DNA and Nucleic Acid Chemistry (33 papers), Bacteriophages and microbial interactions (32 papers), Virus-based gene therapy research (25 papers), Monoclonal and Polyclonal Antibodies Research (25 papers) and Analytical Chemistry and Chromatography (21 papers). The work is most often cited by research in Toxicology (415 citations), Molecular Biology (5.1k citations) and Filtration and Separation (125 citations). João A. Queiroz has collaborated with scholars based in Portugal, France and United States. Frequent co-authors include Fani Sousa, Fernanda Domingues, D.M.F. Prazeres, Eugénia Gallardo, Susana Ferreira, Ângela Sousa, Cândida T. Tomaz, Joaquim M. S. Cabral, Maria Margarida Diogo and Filomena Silva. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Langmuir.
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.