Jacques Wels
Impact in
- Demography top 10%
- Retirement, Disability, and Employment
Papers in
-
- Employment and Welfare Studies 12
- Global Health Care Issues 4
- Aging, Elder Care, and Social Issues 3
- Healthcare Systems and Practices 2
- Demography 10
- Retirement, Disability, and Employment 10
- Co-authors
- Karen Cleaver (1 shared paper)Marianne Markowski (1 shared paper)Hei Wan Mak (2 shared papers)Taiji Noguchi (2 shared papers)Qian Gao (2 shared papers)Katsunori Kondo (2 shared papers)Tami Saito (2 shared papers)Daisy Fancourt (2 shared papers)
- Journals
- The Lancet (2 papers)Ageing and Society (1 paper)Social Science & Medicine (1 paper)Society and Mental Health (1 paper)Innovation in Aging (1 paper)
- Partner nations
- United KingdomBelgiumJapan
In The Last Decade
Jacques Wels
31 papers receiving 156 citations
Peers
Comparison fields: 5 of 45
- Demography 51
- Research and Theory 3
- General Health Professions 66
- Health 18
- Neuropsychology and Physiological Psychology 3
Countries citing papers authored by Jacques Wels
This map shows the geographic impact of Jacques Wels'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 Jacques Wels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Wels more than expected).
Fields of papers citing papers by Jacques Wels
This network shows the impact of papers produced by Jacques Wels. 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 Jacques Wels. The network helps show where Jacques Wels may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacques Wels, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 27 | |
| 2 | 2021 | 17 | |
| 3 | 2020 | 13 | |
| 4 | 2018 | 13 | |
| 5 | 2015 | 13 | |
| 6 | 2018 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2018 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2014 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2018 | 2 |
About Jacques Wels
Jacques Wels is a scholar working on General Health Professions, Demography, Sociology and Political Science, Economics and Econometrics and Political Science and International Relations, having authored 35 papers that have together received 164 indexed citations. Recurring topics across this work include Employment and Welfare Studies (12 papers), Retirement, Disability, and Employment (10 papers), Social Policy and Reform Studies (4 papers), Labor market dynamics and wage inequality (4 papers), Global Health Care Issues (4 papers), Aging, Elder Care, and Social Issues (3 papers), Health disparities and outcomes (3 papers) and Healthcare Systems and Practices (2 papers). The work is most often cited by research in Demography (51 citations), Research and Theory (3 citations), General Health Professions (66 citations), Health (18 citations) and Neuropsychology and Physiological Psychology (3 citations). Jacques Wels has collaborated with scholars based in United Kingdom, Belgium and Japan. Frequent co-authors include Karen Cleaver, Marianne Markowski, Hei Wan Mak, Taiji Noguchi, Qian Gao, Katsunori Kondo, Tami Saito, Daisy Fancourt, Jessica K. Bone and Robert Holzmann. Their work appears in journals such as The Lancet, Ageing and Society, Social Science & Medicine, Society and Mental Health and Innovation in Aging.
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.