Conor Tweed
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Tuberculosis Research and Epidemiology 5
-
- Statistical Methods in Clinical Trials 4
- Advanced Causal Inference Techniques 2
- Co-authors
- Angela M. Crook (5 shared papers)Melvin Spigelman (4 shared papers)Rodney Dawson (4 shared papers)Carl M. Mendel (4 shared papers)Annabelle South (3 shared papers)Andrew Nunn (5 shared papers)Patrick Phillips (4 shared papers)Karen Scott (1 shared paper)
- Journals
- BMC Medicine (2 papers)Research Involvement and Engagement (2 papers)BMC Pulmonary Medicine (1 paper)Clinical Trials (1 paper)Trials (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Conor Tweed
18 papers receiving 309 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 118
- Pharmacology 42
- Statistics and Probability 18
- General Health Professions 47
- Epidemiology 62
Countries citing papers authored by Conor Tweed
This map shows the geographic impact of Conor Tweed'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 Conor Tweed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor Tweed more than expected).
Fields of papers citing papers by Conor Tweed
This network shows the impact of papers produced by Conor Tweed. 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 Conor Tweed. The network helps show where Conor Tweed may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor Tweed, 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 | 2019 | 93 | |
| 2 | 2018 | 53 | |
| 3 | 2016 | 51 | |
| 4 | 2018 | 28 | |
| 5 | 2020 | 22 | |
| 6 | 2024 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2024 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2017 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2019 | 0 |
About Conor Tweed
Conor Tweed is a scholar working on Infectious Diseases, Statistics and Probability, Epidemiology, General Health Professions and Economics and Econometrics, having authored 19 papers that have together received 317 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Statistical Methods in Clinical Trials (4 papers), Advanced Causal Inference Techniques (2 papers), Mental Health and Patient Involvement (2 papers), Meta-analysis and systematic reviews (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Infectious Diseases (118 citations), Pharmacology (42 citations), Statistics and Probability (18 citations), General Health Professions (47 citations) and Epidemiology (62 citations). Conor Tweed has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Angela M. Crook, Melvin Spigelman, Rodney Dawson, Carl M. Mendel, Annabelle South, Andrew Nunn, Patrick Phillips, Karen Scott, Mengchun Li and Almari Conradie. Their work appears in journals such as BMC Medicine, Research Involvement and Engagement, BMC Pulmonary Medicine, Clinical Trials and Trials.
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.