Joe Brew
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Tuberculosis Research and Epidemiology
Papers in
-
- Respiratory viral infections research 6
- Influenza Virus Research Studies 5
- Pneumonia and Respiratory Infections 3
- Co-authors
- Alberto L. García‐Basteiro (3 shared papers)Carlos Chaccour (5 shared papers)Xavier Rodó (1 shared paper)Antoni Trilla (1 shared paper)J. Benlloch (1 shared paper)Anna Llupià (1 shared paper)Àlex Arenas (1 shared paper)Aurelio Tobı́as (1 shared paper)
- Journals
- Scientific Reports (3 papers)Emerging infectious diseases (3 papers)BMJ Global Health (2 papers)BMJ Open (1 paper)Health Economics (1 paper)
- Partner nations
- SpainUnited StatesMozambique
In The Last Decade
Joe Brew
21 papers receiving 336 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 66
- Infectious Diseases 90
- Health Informatics 5
- Health 19
- Epidemiology 73
Countries citing papers authored by Joe Brew
This map shows the geographic impact of Joe Brew'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 Joe Brew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Brew more than expected).
Fields of papers citing papers by Joe Brew
This network shows the impact of papers produced by Joe Brew. 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 Joe Brew. The network helps show where Joe Brew may publish in the future.
Co-authors
The 25 scholars most cited alongside Joe Brew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2020 | 57 | |
| 3 | 2019 | 48 | |
| 4 | 2018 | 29 | |
| 5 | 2015 | 24 | |
| 6 | 2017 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2015 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2020 | 1 |
About Joe Brew
Joe Brew is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 341 indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), Influenza Virus Research Studies (5 papers), Respiratory and Cough-Related Research (4 papers), Malaria Research and Control (4 papers), Global Maternal and Child Health (3 papers), Pneumonia and Respiratory Infections (3 papers), COVID-19 epidemiological studies (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Modeling and Simulation (66 citations), Infectious Diseases (90 citations), Health Informatics (5 citations), Health (19 citations) and Epidemiology (73 citations). Joe Brew has collaborated with scholars based in Spain, United States and Mozambique. Frequent co-authors include Alberto L. García‐Basteiro, Carlos Chaccour, Xavier Rodó, Antoni Trilla, J. Benlloch, Anna Llupià, Àlex Arenas, Aurelio Tobı́as, Antoni Plasència and Caterina Guinovart. Their work appears in journals such as Scientific Reports, Emerging infectious diseases, BMJ Global Health, BMJ Open and Health Economics.
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.