B. Duque
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
Papers in
-
- Statistical Methods in Clinical Trials 2
- Advanced Causal Inference Techniques 1
-
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Antonio J. Carcas (4 shared papers)Jesus A Frias (3 shared papers)Elena Ramı́rez (3 shared papers)Alberto Manuel Borobia (2 shared papers)Olga Laosa (2 shared papers)Ignacio Garcia‐Ribas (1 shared paper)Humberto Villavicencio (1 shared paper)Juan Palou (1 shared paper)
- Journals
- British Journal of Clinical Pharmacology (1 paper)European Journal of Clinical Pharmacology (1 paper)The Journal of Urology (1 paper)Veterinary Record (1 paper)The Lancet (1 paper)
- Partner nations
- SpainUnited KingdomIndia
In The Last Decade
B. Duque
6 papers receiving 385 citations
B. Duque's Hit Papers
Peers
Comparison fields: 5 of 66
- Infectious Diseases 240
- Pharmaceutical Science 42
- Health 42
- Animal Science and Zoology 36
- Modeling and Simulation 13
Countries citing papers authored by B. Duque
This map shows the geographic impact of B. Duque'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 B. Duque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Duque more than expected).
Fields of papers citing papers by B. Duque
This network shows the impact of papers produced by B. Duque. 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 B. Duque. The network helps show where B. Duque may publish in the future.
Co-authors
The 12 scholars most cited alongside B. Duque, 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 | Immunogenicity and reactogenicity of BNT162b2 booster in ChAdOx1-S-primed participants (CombiVacS): a multicentre, open-label, randomised, controlled, phase 2 trial Hit paper breakdown → | 2021 | 287 |
| 2 | 2010 | 67 | |
| 3 | 2004 | 25 | |
| 4 | 2008 | 8 | |
| 5 | 2013 | 2 | |
| 6 | 2023 | 2 |
About B. Duque
B. Duque is a scholar working on Statistics and Probability, Infectious Diseases, Economics and Econometrics, Genetics and Surgery, having authored 6 papers that have together received 391 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Human-Animal Interaction Studies (1 paper), Advanced Causal Inference Techniques (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Bladder and Urothelial Cancer Treatments (1 paper). The work is most often cited by research in Infectious Diseases (240 citations), Pharmaceutical Science (42 citations), Health (42 citations), Animal Science and Zoology (36 citations) and Modeling and Simulation (13 citations). B. Duque has collaborated with scholars based in Spain, United Kingdom and India. Frequent co-authors include Antonio J. Carcas, Jesus A Frias, Elena Ramı́rez, Alberto Manuel Borobia, Olga Laosa, Ignacio Garcia‐Ribas, Humberto Villavicencio, Juan Palou, Rubin Lubomirov and Jon Bowen. Their work appears in journals such as British Journal of Clinical Pharmacology, European Journal of Clinical Pharmacology, The Journal of Urology, Veterinary Record and The Lancet.
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.