Brian Allwood
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 27
- COVID-19 Clinical Research Studies 14
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- Chronic Obstructive Pulmonary Disease (COPD) Research 24
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 15
- Pulmonary Hypertension Research and Treatments 12
- Respiratory Support and Mechanisms 11
- Epidemiology top 5%
- Pneumonia and Respiratory Infections 15
- Pneumocystis jirovecii pneumonia detection and treatment 11
- Modeling and Simulation top 5%
- Co-authors
- Coenraad F.N. KoegelenbergMorné J. VorsterAndreas H. DiaconEric BatemanKeertan DhedaLandon MyerJamilah MeghjiRichard N. van Zyl-Smit
- Journals
- New England Journal of Medicine (1 paper)The Lancet (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Brian Allwood
92 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.1k
- Pulmonary and Respiratory Medicine 754
- Epidemiology 639
- Modeling and Simulation 84
- Critical Care and Intensive Care Medicine 73
Countries citing papers authored by Brian Allwood
This map shows the geographic impact of Brian Allwood'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 Brian Allwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Allwood more than expected).
Fields of papers citing papers by Brian Allwood
This network shows the impact of papers produced by Brian Allwood. 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 Brian Allwood. The network helps show where Brian Allwood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Allwood, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 19 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 36 | |
| 15 | 2020 | 29 | |
| 16 | 2020 | 8 | |
| 17 | 2018 | 10 | |
| 18 | 2017 | 16 | |
| 19 | 2014 | 1 | |
| 20 | 2013 | 31 |
About Brian Allwood
Brian Allwood is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Applied Microbiology and Biotechnology, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (24 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers), Pneumonia and Respiratory Infections (15 papers), COVID-19 Clinical Research Studies (14 papers), Pulmonary Hypertension Research and Treatments (12 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers) and Respiratory Support and Mechanisms (11 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Pulmonary and Respiratory Medicine (754 citations) and Epidemiology (639 citations). Brian Allwood has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Coenraad F.N. Koegelenberg, Morné J. Vorster, Andreas H. Diacon, Eric Bateman, Keertan Dheda, Landon Myer, Jamilah Meghji, Richard N. van Zyl-Smit, Greg Calligaro and Anthony Byrne. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Investigation.
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.