Maya Kylén

402 citations
32 papers · 231 · h-index 9

Impact in

Papers in

    • Migration, Aging, and Tourism Studies 10
    • Retirement, Disability, and Employment 2
    • Mental Health and Patient Involvement 2
    • Geriatric Care and Nursing Homes 2

Maya Kylén

25 papers receiving 226 citations

Peers

Maya Kylén
Comparison fields: 5 of 54
  • Neuropsychology and Physiological Psychology 17
  • Health 36
  • Rehabilitation 27
  • Occupational Therapy 17
  • Demography 51
Replace Magnus Zingmark with:
Magnus Zingmark Sweden
Andrée Sévigny Canada
Marian Keglovits United States
Katja Pynnönen Finland
Zhihong Zhen China
Safiyyah Okoye United States
Hans‐Helmut König Germany
Melissa Tovin United States
Francisco Ibarra Italy
Barbara D’Amen Italy
Maya Kylén relative to Magnus Zingmark Sweden Magnus Zingmark's profile →
Citations per field
00.5×1.5×
Magnus Zingmark · 1×
Citations per year

Countries citing papers authored by Maya Kylén

Since Specialization
Citations

This map shows the geographic impact of Maya Kylén'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 Maya Kylén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Kylén more than expected).

Fields of papers citing papers by Maya Kylén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Kylén. 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 Maya Kylén. The network helps show where Maya Kylén may publish in the future.

Co-authors

The 25 scholars most cited alongside Maya Kylén, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Kylén Line = papers co-authored together Maya Kylén links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201427
2 201723
3 201922
4 202121
5 202116
6 202214
7 202113
8 202211
9 201911
10 20158
11 20227
12 20237
13 20227
14 20226
15 20246
16 20236
17 20225
18 20235
19 20204
20 20233

About Maya Kylén

Maya Kylén is a scholar working on Demography, General Health Professions, Rehabilitation, Health and Neuropsychology and Physiological Psychology, having authored 32 papers that have together received 231 indexed citations. Recurring topics across this work include Migration, Aging, and Tourism Studies (10 papers), Stroke Rehabilitation and Recovery (6 papers), Health disparities and outcomes (5 papers), Aging and Gerontology Research (4 papers), Mental Health and Patient Involvement (2 papers), Retirement, Disability, and Employment (2 papers), Geriatric Care and Nursing Homes (2 papers) and Collaborative and Sustainable Housing Initiatives (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (17 citations), Health (36 citations), Rehabilitation (27 citations), Occupational Therapy (17 citations) and Demography (51 citations). Maya Kylén has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Susanne Iwarsson, Maria Haak, Steven Schmidt, Marie Elf, Henrik Ekström, Oskar Jönsson, Charlotte Ytterberg, Lena von Koch, Sölve Elmståhl and Charlotte Löfqvist. Their work appears in journals such as International Journal of Environmental Research and Public Health, Innovation in Aging, European Journal of Ageing, Health Research Policy and Systems and PLoS ONE.

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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