Miguel Viveiros
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria 69
- Infectious Diseases top 0.1%
- Tuberculosis Research and Epidemiology 95
- Antimicrobial Resistance in Staphylococcus 18
- Epidemiology top 0.5%
- Mycobacterium research and diagnosis 82
- Toxicology top 0.5%
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- Phenothiazines and Benzothiazines Synthesis and Activities 45
- Cancer therapeutics and mechanisms 20
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- Antibiotics Pharmacokinetics and Efficacy 25
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- Quinazolinone synthesis and applications 21
In The Last Decade
Miguel Viveiros
206 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Medicine 2.4k
- Infectious Diseases 4.5k
- Epidemiology 3.2k
- Toxicology 249
- Applied Microbiology and Biotechnology 130
Countries citing papers authored by Miguel Viveiros
This map shows the geographic impact of Miguel Viveiros'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 Miguel Viveiros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Viveiros more than expected).
Fields of papers citing papers by Miguel Viveiros
This network shows the impact of papers produced by Miguel Viveiros. 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 Miguel Viveiros. The network helps show where Miguel Viveiros may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miguel Viveiros, 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 | 2025 | 1 | |
| 2 | 2021 | 12 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 9 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 17 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 9 | |
| 10 | 2015 | 29 | |
| 11 | 2015 | 41 | |
| 12 | 2014 | 43 | |
| 13 | 2013 | 108 | |
| 14 | 2013 | 90 | |
| 15 | Constituents of Carpobrotus edulis inhibit P-glycoprotein of MDR1-transfected mouse lymphoma cells. | 2010 | 44 |
| 16 | Demonstration of the activity of P-glycoprotein by a semi-automated fluorometric method. | 2009 | 20 |
| 17 | Assessment and comparison of efflux pumps of cancer cells and MDR bacteria under physiological conditions by a real-time semi-automated system | 2008 | 1 |
| 18 | 2008 | 136 | |
| 19 | 2004 | 13 | |
| 20 | Verapamil and Reserpin promote the killing of intracellular bacteria | 2004 | 1 |
About Miguel Viveiros
Miguel Viveiros is a scholar working on Molecular Medicine, Infectious Diseases and Epidemiology, having authored 210 papers that have together received 8.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (95 papers), Mycobacterium research and diagnosis (82 papers), Antibiotic Resistance in Bacteria (69 papers), Phenothiazines and Benzothiazines Synthesis and Activities (45 papers), Antibiotics Pharmacokinetics and Efficacy (25 papers), Quinazolinone synthesis and applications (21 papers), Cancer therapeutics and mechanisms (20 papers) and Antimicrobial Resistance in Staphylococcus (18 papers). The work is most often cited by research in Molecular Medicine (2.4k citations), Infectious Diseases (4.5k citations) and Epidemiology (3.2k citations). Miguel Viveiros has collaborated with scholars based in Portugal, Paraguay and Hungary. Frequent co-authors include Leonard Amaral, Isabel Couto, Marta Martins, Diana Machado, Liliana Rodrigues, Joséph Molnár, Sofia Santos Costa, Isabel Portugal, Jette E. Kristiansen and João Perdigão. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.
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.