Jonas Schöley
Impact in
- Health top 5%
- Health disparities and outcomes
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Health 4
- Health disparities and outcomes 4
-
- Insurance, Mortality, Demography, Risk Management 3
- Co-authors
- José Manuel Aburto (4 shared papers)Ridhi Kashyap (4 shared papers)Jennifer B. Dowd (3 shared papers)Ilya Kashnitsky (5 shared papers)Melinda Mills (2 shared papers)Charles Rahal (1 shared paper)Luyin Zhang (1 shared paper)Trifon I. Missov (1 shared paper)
- Journals
- The Lancet (2 papers)Population Health Metrics (2 papers)Demographic Research (2 papers)International Journal of Epidemiology (2 papers)Nature Human Behaviour (1 paper)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Jonas Schöley
17 papers receiving 723 citations
Jonas Schöley's Hit Papers
Peers
Comparison fields: 5 of 100
- Health 124
- Modeling and Simulation 70
- Ecological Modeling 39
- Demography 102
- General Health Professions 196
Countries citing papers authored by Jonas Schöley
This map shows the geographic impact of Jonas Schöley'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 Jonas Schöley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Schöley more than expected).
Fields of papers citing papers by Jonas Schöley
This network shows the impact of papers produced by Jonas Schöley. 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 Jonas Schöley. The network helps show where Jonas Schöley may publish in the future.
Co-authors
The 22 scholars most cited alongside Jonas Schöley, 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 | Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries Hit paper breakdown → | 2021 | 245 |
| 2 | Life expectancy changes since COVID-19 Hit paper breakdown → | 2022 | 169 |
| 3 | 2019 | 143 | |
| 4 | 2021 | 110 | |
| 5 | 2018 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 14 | |
| 8 | 2019 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 7 | |
| 11 | 2017 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2021 | 1 | |
| 18 | Exploring Data Gaps at the Species Level: Starting with demographic knowledge | 2016 | 0 |
| 19 | 2023 | 0 | |
| 20 | 2024 | 0 |
About Jonas Schöley
Jonas Schöley is a scholar working on Health, Demography, General Health Professions, Oncology and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 761 indexed citations. Recurring topics across this work include Global Health Care Issues (5 papers), Health disparities and outcomes (4 papers), COVID-19 and healthcare impacts (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Geochemistry and Geologic Mapping (2 papers), Climate Change and Health Impacts (2 papers), Wildlife Ecology and Conservation (2 papers) and Intergenerational Family Dynamics and Caregiving (1 paper). The work is most often cited by research in Health (124 citations), Modeling and Simulation (70 citations), Ecological Modeling (39 citations), Demography (102 citations) and General Health Professions (196 citations). Jonas Schöley has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include José Manuel Aburto, Ridhi Kashyap, Jennifer B. Dowd, Ilya Kashnitsky, Melinda Mills, Charles Rahal, Luyin Zhang, Trifon I. Missov, Hannaliis Jaadla and Colin Angus. Their work appears in journals such as The Lancet, Population Health Metrics, Demographic Research, International Journal of Epidemiology and Nature Human Behaviour.
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.