Trystan Leng
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- COVID-19 epidemiological studies 6
-
- Reproductive tract infections research 3
- Co-authors
- Matt J. Keeling (9 shared papers)Michael J. Tildesley (5 shared papers)Edward M. Hill (5 shared papers)Louise Dyson (4 shared papers)Alex Holmes (3 shared papers)Robin N. Thompson (4 shared papers)Adam J. Kucharski (2 shared papers)Stefan Flasche (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Wellcome Open Research (2 papers)The Lancet Global Health (1 paper)The Lancet Infectious Diseases (1 paper)npj Vaccines (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Trystan Leng
14 papers receiving 243 citations
Peers
Comparison fields: 5 of 56
- Modeling and Simulation 106
- Infectious Diseases 68
- Health 26
- Clinical Psychology 36
- Microbiology 7
Countries citing papers authored by Trystan Leng
This map shows the geographic impact of Trystan Leng'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 Trystan Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trystan Leng more than expected).
Fields of papers citing papers by Trystan Leng
This network shows the impact of papers produced by Trystan Leng. 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 Trystan Leng. The network helps show where Trystan Leng may publish in the future.
Co-authors
The 25 scholars most cited alongside Trystan Leng, 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 | 2021 | 76 | |
| 2 | 2021 | 39 | |
| 3 | 2020 | 33 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 18 | |
| 6 | 2022 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2017 | 9 | |
| 9 | 2022 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2020 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 |
About Trystan Leng
Trystan Leng is a scholar working on Modeling and Simulation, Microbiology, Infectious Diseases, Clinical Psychology and Economics and Econometrics, having authored 14 papers that have together received 245 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), COVID-19 Pandemic Impacts (3 papers), Reproductive tract infections research (3 papers), COVID-19 and Mental Health (3 papers), Syphilis Diagnosis and Treatment (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Modeling and Simulation (106 citations), Infectious Diseases (68 citations), Health (26 citations), Clinical Psychology (36 citations) and Microbiology (7 citations). Trystan Leng has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Matt J. Keeling, Michael J. Tildesley, Edward M. Hill, Louise Dyson, Alex Holmes, Robin N. Thompson, Adam J. Kucharski, Stefan Flasche, Helena B. Stage and Nicholas G. M. Davies. Their work appears in journals such as PLoS Computational Biology, Wellcome Open Research, The Lancet Global Health, The Lancet Infectious Diseases and npj Vaccines.
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.