Duncan Lee
- Geriatrics and Gerontology top 0.5%
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- Air Quality and Health Impacts 31
- Climate Change and Health Impacts 16
- Modeling and Simulation top 2%
- Health top 2%
- Health disparities and outcomes 17
- Transportation top 2%
- Urban Transport and Accessibility 16
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- Spatial and Panel Data Analysis 23
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- Data-Driven Disease Surveillance 13
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- Global Health Care Issues 11
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- Statistical Methods and Bayesian Inference 7
- Co-authors
- Frances S MairBhautesh JaniBarbara I. NichollRoss McQueeniePeter HanlonRichard MitchellAlastair RushworthKatie Gallacher
- Journals
- Spatial and Spatio-temporal Epidemiology (9 papers)Statistical Methods in Medical Research (6 papers)Biostatistics (5 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Duncan Lee
81 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Geriatrics and Gerontology 671
- Health, Toxicology and Mutagenesis 545
- Modeling and Simulation 181
- Health 294
- Transportation 231
Countries citing papers authored by Duncan Lee
This map shows the geographic impact of Duncan Lee'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 Duncan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan Lee more than expected).
Fields of papers citing papers by Duncan Lee
This network shows the impact of papers produced by Duncan Lee. 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 Duncan Lee. The network helps show where Duncan Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Duncan Lee, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 40 | |
| 10 | 2020 | 29 | |
| 11 | 2019 | 152 | |
| 12 | 2018 | 59 | |
| 13 | 2018 | 7 | |
| 14 | 2016 | 23 | |
| 15 | 2015 | 17 | |
| 16 | 2015 | 7 | |
| 17 | Inference for segregation indices in the presence of spatial autocorrelation | 2014 | 1 |
| 18 | 2012 | 21 | |
| 19 | 2011 | 44 | |
| 20 | 2011 | 189 |
About Duncan Lee
Duncan Lee is a scholar working on Transportation, Health, Toxicology and Mutagenesis, Health, Economics and Econometrics and Modeling and Simulation, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (31 papers), Spatial and Panel Data Analysis (23 papers), Health disparities and outcomes (17 papers), Climate Change and Health Impacts (16 papers), Urban Transport and Accessibility (16 papers), Data-Driven Disease Surveillance (13 papers), Global Health Care Issues (11 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Geriatrics and Gerontology (671 citations), Health, Toxicology and Mutagenesis (545 citations), Modeling and Simulation (181 citations), Health (294 citations) and Transportation (231 citations). Duncan Lee has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Frances S Mair, Bhautesh Jani, Barbara I. Nicholl, Ross McQueenie, Peter Hanlon, Richard Mitchell, Alastair Rushworth, Katie Gallacher, Gavin Shaddick and Christophe Sarran. Their work appears in journals such as Spatial and Spatio-temporal Epidemiology, Statistical Methods in Medical Research, Biostatistics, The Annals of Applied Statistics and Environmetrics.
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.