Jonathan K. L. Mak

853 total citations
33 papers, 513 citations indexed

About

Jonathan K. L. Mak is a scholar working on Physiology, Geriatrics and Gerontology and Economics and Econometrics. According to data from OpenAlex, Jonathan K. L. Mak has authored 33 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 11 papers in Geriatrics and Gerontology and 8 papers in Economics and Econometrics. Recurrent topics in Jonathan K. L. Mak's work include Frailty in Older Adults (11 papers), Nutrition and Health in Aging (11 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). Jonathan K. L. Mak is often cited by papers focused on Frailty in Older Adults (11 papers), Nutrition and Health in Aging (11 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). Jonathan K. L. Mak collaborates with scholars based in Sweden, Finland and Hong Kong. Jonathan K. L. Mak's co-authors include Sara Hägg, Juulia Jylhävä, Roger Yat‐Nork Chung, Ralf Kuja‐Halkola, Christopher E McMurran, Yunzhang Wang, Xin Sun, Ngoc Minh Pham, Xiong‐Fei Pan and Colin Binns and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Jonathan K. L. Mak

29 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan K. L. Mak Sweden 14 127 122 81 75 73 33 513
Jessamyn Conell‐Price United States 9 53 0.4× 58 0.5× 86 1.1× 42 0.6× 97 1.3× 13 457
Dongshan Zhu China 15 66 0.5× 25 0.2× 134 1.7× 36 0.5× 39 0.5× 58 715
Junning Fan China 9 202 1.6× 221 1.8× 69 0.9× 13 0.2× 79 1.1× 15 524
Hosanna Soler‐Vilá United States 13 77 0.6× 34 0.3× 112 1.4× 6 0.1× 74 1.0× 21 633
Mengzi Sun China 15 177 1.4× 28 0.2× 204 2.5× 18 0.2× 42 0.6× 54 720
Pei‐Ling Tang Taiwan 15 30 0.2× 14 0.1× 93 1.1× 69 0.9× 72 1.0× 54 701
Michael Grabner United States 17 38 0.3× 26 0.2× 61 0.8× 9 0.1× 68 0.9× 80 811
Barbara France United Kingdom 8 166 1.3× 13 0.1× 252 3.1× 23 0.3× 176 2.4× 8 673
Ruhai Bai China 14 52 0.4× 13 0.1× 76 0.9× 16 0.2× 104 1.4× 54 607
Chris Guure Ghana 11 69 0.5× 16 0.1× 138 1.7× 36 0.5× 147 2.0× 45 571

Countries citing papers authored by Jonathan K. L. Mak

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan K. L. Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan K. L. Mak. 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 Jonathan K. L. Mak. The network helps show where Jonathan K. L. Mak may publish in the future.

Co-authorship network of co-authors of Jonathan K. L. Mak

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

All Works

20 of 20 papers shown
1.
2.
Zhou, Hao‐Long, et al.. (2025). Unhealthy lifestyles accelerated aging and consequential musculoskeletal morbidity. Journal of Bone and Mineral Metabolism. 43(5). 573–584.
3.
Mak, Jonathan K. L., Johan G. Eriksson, Juulia Jylhävä, et al.. (2025). Predicting cardiovascular morbidity and mortality with SCORE2 (OP) and Framingham risk estimates in combination with indicators of biological ageing. Age and Ageing. 54(4). 1 indexed citations
4.
Mak, Jonathan K. L., Kathryn Choon Beng Tan, Juulia Jylhävä, Sara Hägg, & Ching‐Lung Cheung. (2025). Walking Speed and Risk of Cancer in Two Prospective Cohort Studies. Journal of Cachexia Sarcopenia and Muscle. 16(3). e13792–e13792. 1 indexed citations
5.
Mak, Jonathan K. L., et al.. (2024). Foot and knee deformities in relation to functional limitations and incident osteoarthritis: A prospective cohort study. SHILAP Revista de lepidopterología. 10(3). 114–118.
6.
Mak, Jonathan K. L., et al.. (2024). Phenome-Wide Analysis of Coffee Intake on Health over 20 Years of Follow-Up Among Adults in Hong Kong Osteoporosis Study. Nutrients. 16(20). 3536–3536. 3 indexed citations
7.
Mak, Jonathan K. L., Marianne Nygaard, Laura Kananen, et al.. (2024). Epigenome‐wide analysis of frailty: Results from two European twin cohorts. Aging Cell. 23(6). e14135–e14135. 4 indexed citations
8.
9.
Mak, Jonathan K. L., Ida Karlsson, Bowen Tang, et al.. (2023). Temporal Dynamics of Epigenetic Aging and Frailty From Midlife to Old Age. The Journals of Gerontology Series A. 79(10). 13 indexed citations
10.
McMurran, Christopher E, Yunzhang Wang, Jonathan K. L. Mak, et al.. (2023). Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings. Brain. 146(12). 4891–4902. 9 indexed citations
11.
Li, Xia, Alexander Ploner, Yunzhang Wang, et al.. (2023). Rare functional variants in the CRP and G6PC genes modify the relationship between obesity and serum C‐reactive protein in white British population. Molecular Genetics & Genomic Medicine. 11(12). e2255–e2255. 1 indexed citations
12.
Mak, Jonathan K. L., Laura Kananen, Chenxi Qin, et al.. (2023). Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses. Aging Cell. 22(8). e13868–e13868. 15 indexed citations
13.
Kananen, Laura, Martin Annetorp, Jonathan K. L. Mak, et al.. (2023). Health progression for Covid-19 survivors hospitalized in geriatric clinics in Sweden. PLoS ONE. 18(3). e0283344–e0283344.
14.
15.
Mak, Jonathan K. L., Sara Hägg, Maria Eriksdotter, et al.. (2022). Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden. The Journals of Gerontology Series A. 77(11). 2311–2319. 21 indexed citations
16.
Mak, Jonathan K. L., Chandra A. Reynolds, Sara Hägg, et al.. (2021). Sex differences in genetic and environmental influences on frailty and its relation to body mass index and education. Aging. 13(13). 16990–17023. 16 indexed citations
17.
Chung, Roger Yat‐Nork, Michael Marmot, Jonathan K. L. Mak, et al.. (2020). Deprivation is associated with anxiety and stress. A population-based longitudinal household survey among Chinese adults in Hong Kong. Journal of Epidemiology & Community Health. 75(4). 335–342. 12 indexed citations
18.
Chung, Roger Yat‐Nork, Gary Ka-Ki Chung, David Gordon, et al.. (2019). Housing affordability effects on physical and mental health: household survey in a population with the world’s greatest housing affordability stress. Journal of Epidemiology & Community Health. 74(2). 164–172. 56 indexed citations
19.
Mak, Jonathan K. L., Andy H. Lee, Ngoc Minh Pham, et al.. (2019). Physical activity during early pregnancy and antenatal depression: A prospective cohort study. Mental health and physical activity. 16. 54–59. 4 indexed citations
20.
Mak, Jonathan K. L., Andy H. Lee, Ngoc Minh Pham, et al.. (2018). Gestational diabetes and postnatal depressive symptoms: A prospective cohort study in Western China. Women and Birth. 32(3). e427–e431. 25 indexed citations

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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