Tim Morris
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Co-authors
- George Davey Smith (21 shared papers)Neil M Davies (15 shared papers)Kate M. Tilling (6 shared papers)Gibran Hemani (3 shared papers)Gareth J Griffith (3 shared papers)Matthew Tudball (1 shared paper)Luisa Zuccolo (1 shared paper)Gemma C. Sharp (1 shared paper)
- Journals
- International Journal of Epidemiology (5 papers)PLoS Genetics (4 papers)European Journal of Epidemiology (3 papers)Social Science & Medicine (2 papers)Journal of Affective Disorders (2 papers)
- Partner nations
- United KingdomNorwayNetherlands
In The Last Decade
Tim Morris
46 papers receiving 1.9k citations
Tim Morris's Hit Papers
Peers
Comparison fields: 5 of 88
- Genetics 419
- Infectious Diseases 183
- Modeling and Simulation 36
- Health 48
- Statistics and Probability 54
Countries citing papers authored by Tim Morris
This map shows the geographic impact of Tim Morris'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 Tim Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Morris more than expected).
Fields of papers citing papers by Tim Morris
This network shows the impact of papers produced by Tim Morris. 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 Tim Morris. The network helps show where Tim Morris may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Morris, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Collider bias undermines our understanding of COVID-19 disease risk and severity Hit paper breakdown → | 2020 | 615 |
| 2 | Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses Hit paper breakdown → | 2020 | 265 |
| 3 | Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects Hit paper breakdown → | 2022 | 228 |
| 4 | 2016 | 80 | |
| 5 | 2021 | 73 | |
| 6 | 2022 | 64 | |
| 7 | 2021 | 61 | |
| 8 | 2020 | 50 | |
| 9 | 2020 | 37 | |
| 10 | 2022 | 37 | |
| 11 | 2015 | 34 | |
| 12 | 2016 | 31 | |
| 13 | 2019 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2022 | 28 | |
| 16 | 2023 | 26 | |
| 17 | 2017 | 22 | |
| 18 | 2018 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2017 | 17 |
About Tim Morris
Tim Morris is a scholar working on Genetics, Health, Sociology and Political Science, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (17 papers), Intergenerational and Educational Inequality Studies (4 papers), Health disparities and outcomes (2 papers), School Choice and Performance (1 paper), Smoking Behavior and Cessation (1 paper), Ophthalmology and Visual Impairment Studies (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Child and Adolescent Psychosocial and Emotional Development (1 paper). The work is most often cited by research in Genetics (419 citations), Infectious Diseases (183 citations), Modeling and Simulation (36 citations), Health (48 citations) and Statistics and Probability (54 citations). Tim Morris has collaborated with scholars based in United Kingdom, Norway and Netherlands. Frequent co-authors include George Davey Smith, Neil M Davies, Kate M. Tilling, Gibran Hemani, Gareth J Griffith, Matthew Tudball, Luisa Zuccolo, Gemma C. Sharp, Lindsey Pike and Annie Herbert. Their work appears in journals such as International Journal of Epidemiology, PLoS Genetics, European Journal of Epidemiology, Social Science & Medicine and Journal of Affective Disorders.
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.