Gareth J Griffith
- Infectious Diseases top 10%
- Clinical Psychology
- Oncology
- Health top 10%
- Neurology
- Co-authors
- George Davey SmithGibran HemaniAnnie HerbertKate TillingLuisa ZuccoloGiulia MancanoGemma C. SharpJonathan A C Sterne
- Topics
- Health disparities and outcomes (7 papers)COVID-19 epidemiological studies (4 papers)Climate Change and Health Impacts (4 papers)
- Partner nations
- United KingdomNorwayNetherlands
In The Last Decade
Gareth J Griffith
22 papers receiving 601 citations
Peers
Comparison fields: 5 of 117
- Infectious Diseases 225
- Clinical Psychology 102
- Oncology 101
- Health 86
- Neurology 77
Countries citing papers authored by Gareth J Griffith
This map shows the geographic impact of Gareth J Griffith'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 Gareth J Griffith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth J Griffith more than expected).
Fields of papers citing papers by Gareth J Griffith
This network shows the impact of papers produced by Gareth J Griffith. 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 Gareth J Griffith. The network helps show where Gareth J Griffith may publish in the future.
Co-authorship network of co-authors of Gareth J Griffith
This figure shows the co-authorship network connecting the top 25 collaborators of Gareth J Griffith. A scholar is included among the top collaborators of Gareth J Griffith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gareth J Griffith. Gareth J Griffith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 464 | |
| 15 | 9 | |
| 16 | Implications of selection bias for the COVID Symptom Tracker Study | 0 |
| 17 | We should be cautious about associations of patient characteristics with COVID-19 outcomes that are identified in hospitalised patients | 2 |
| 18 | 27 | |
| 19 | 1 | |
| 20 | Internet censorship and mandatory filtering | 1 |
About Gareth J Griffith
Gareth J Griffith is a scholar working on Modeling and Simulation, Health and Health, Toxicology and Mutagenesis, having authored 25 papers that have together received 615 indexed citations. Recurring topics across this work include Health disparities and outcomes (7 papers), COVID-19 epidemiological studies (4 papers) and Climate Change and Health Impacts (4 papers). The work is most often cited by research in Modeling and Simulation (71 citations), Infectious Diseases (225 citations) and Health (86 citations). Gareth J Griffith has collaborated with scholars based in United Kingdom, Norway and Netherlands. Frequent co-authors include George Davey Smith, Gibran Hemani, Annie Herbert, Kate Tilling, Luisa Zuccolo, Giulia Mancano, Gemma C. Sharp, Jonathan A C Sterne, Tim Morris and Neil M Davies. Their work appears in journals such as Nature Communications, Social Science & Medicine and International Journal of Epidemiology.
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.