Jonas Schöley

1.5k total citations · 2 hit papers
15 papers, 517 citations indexed

About

Jonas Schöley is a scholar working on General Health Professions, Demography and Health. According to data from OpenAlex, Jonas Schöley has authored 15 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 5 papers in Demography and 4 papers in Health. Recurrent topics in Jonas Schöley's work include Global Health Care Issues (6 papers), Insurance, Mortality, Demography, Risk Management (4 papers) and Health disparities and outcomes (4 papers). Jonas Schöley is often cited by papers focused on Global Health Care Issues (6 papers), Insurance, Mortality, Demography, Risk Management (4 papers) and Health disparities and outcomes (4 papers). Jonas Schöley collaborates with scholars based in Denmark, Germany and United Kingdom. Jonas Schöley's co-authors include José Manuel Aburto, Ridhi Kashyap, Jennifer B. Dowd, Ilya Kashnitsky, Melinda Mills, Luyin Zhang, Trifon I. Missov, Charles Rahal, Hannaliis Jaadla and Colin Angus and has published in prestigious journals such as International Journal of Epidemiology, Addiction and Journal of Epidemiology & Community Health.

In The Last Decade

Jonas Schöley

12 papers receiving 494 citations

Hit Papers

Quantifying impacts of the COVID-19 pandemic through life... 2021 2026 2022 2024 2021 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries
    2021 217 citations José Manuel Aburto, Jonas Schöley et al. International Journal of Epidemiology profile →
  2. Life expectancy changes since COVID-19
    2022 138 citations Jonas Schöley, José Manuel Aburto et al. Nature Human Behaviour profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonas Schöley Denmark 8 283 170 137 121 99 15 517
Tim Riffe Germany 11 304 1.1× 236 1.4× 119 0.9× 84 0.7× 199 2.0× 33 692
Theo Rashid United Kingdom 8 142 0.5× 111 0.7× 121 0.9× 90 0.7× 20 0.2× 10 454
Marcus Ebeling Germany 12 151 0.5× 105 0.6× 59 0.4× 57 0.5× 96 1.0× 28 341
Gianni Corsetti Italy 6 132 0.5× 70 0.4× 156 1.1× 121 1.0× 18 0.2× 13 415
Rolando J. Acosta United States 5 118 0.4× 57 0.3× 156 1.1× 106 0.9× 16 0.2× 5 368
Siddartha Aradhya Sweden 11 134 0.5× 130 0.8× 125 0.9× 37 0.3× 25 0.3× 30 519
Gemma Lyons Egypt 5 97 0.3× 41 0.2× 118 0.9× 83 0.7× 22 0.2× 7 299
Sergi Trias‐Llimós Spain 12 191 0.7× 200 1.2× 37 0.3× 47 0.4× 75 0.8× 35 393
Nikkil Sudharsanan United States 14 154 0.5× 127 0.7× 48 0.4× 18 0.1× 31 0.3× 46 525
Marcos Roberto Gonzaga Brazil 10 187 0.7× 153 0.9× 33 0.2× 16 0.1× 103 1.0× 28 361

Countries citing papers authored by Jonas Schöley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonas Schöley

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Schöley. A scholar is included among the top collaborators of Jonas Schöley 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 Jonas Schöley. Jonas Schöley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Angus, Colin & Jonas Schöley. (2025). Estimating recent trends in alcohol sales in the United Kingdom from alcohol duty revenue. Addiction. 120(10). 2134–2140. 1 indexed citations
2.
Schöley, Jonas, et al.. (2024). Population age structure dependency of the excess mortality P-score. Population Health Metrics. 22(1). 25–25. 1 indexed citations
3.
Schöley, Jonas. (2023). Bevölkerungsalterung unter Pandemiebedingungen. Wirtschaftsdienst. 103(2). 144–146.
4.
Schöley, Jonas, José Manuel Aburto, Ilya Kashnitsky, et al.. (2022). Life expectancy changes since COVID-19. Nature Human Behaviour. 6(12). 1649–1659. 138 indexed citations breakdown →
5.
Aburto, José Manuel, Jonas Schöley, Ilya Kashnitsky, & Ridhi Kashyap. (2022). Life expectancy declines in Russia during the COVID-19 pandemic in 2020. International Journal of Epidemiology. 51(5). 1695–1697. 10 indexed citations
6.
Aburto, José Manuel, Jonas Schöley, Ilya Kashnitsky, et al.. (2021). Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries. International Journal of Epidemiology. 51(1). 63–74. 217 indexed citations breakdown →
7.
Aburto, José Manuel, Ridhi Kashyap, Jonas Schöley, et al.. (2021). Estimating the burden of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: a population-level analysis. Journal of Epidemiology & Community Health. 75(8). 735–740. 99 indexed citations
8.
Schöley, Jonas. (2021). The centered ternary balance scheme: A technique to visualize surfaces of unbalanced three-part compositions. Demographic Research. 44. 443–458. 1 indexed citations
9.
Schöley, Jonas, et al.. (2020). COVerAGE-DB: A global demographic database of COVID-19 cases, deaths, tests, and vaccines. OSF Preprints (OSF Preprints). 10 indexed citations
10.
Schöley, Jonas, et al.. (2019). Patient self‐testing of white blood cell count and differentiation: A study of feasibility and measurement performance in a population of Danish cancer patients. European Journal of Cancer Care. 29(1). e13189–e13189. 7 indexed citations
11.
Schöley, Jonas & Ilya Kashnitsky. (2019). But Why? Design choices made while creating "Regional population structures at a glance". University of Southern Denmark Research Portal (University of Southern Denmark). 1 indexed citations
12.
Dańko, Maciej J., et al.. (2018). ungroup: An R package for efficient estimation of smooth distributions from coarsely binned data. The Journal of Open Source Software. 3(29). 937–937. 16 indexed citations
13.
Schöley, Jonas & Frans Willekens. (2017). Visualizing compositional data on the Lexis surface. Demographic Research. 36. 627–658. 12 indexed citations
14.
Riffe, Tim, Jonas Schöley, & Francisco Villavicencio. (2017). A unified framework of demographic time. Genus. 73(1). 4 indexed citations
15.
Schöley, Jonas. (2016). The Human Mortality Explorer. An Interactive Online Visualization of the Human Mortality Database. University of Southern Denmark Research Portal (University of Southern Denmark).

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.

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