Per Tynelius

9.1k total citations · 1 hit paper
150 papers, 5.4k citations indexed

About

Per Tynelius is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Clinical Psychology. According to data from OpenAlex, Per Tynelius has authored 150 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Public Health, Environmental and Occupational Health, 57 papers in Pediatrics, Perinatology and Child Health and 27 papers in Clinical Psychology. Recurrent topics in Per Tynelius's work include Birth, Development, and Health (54 papers), Obesity, Physical Activity, Diet (50 papers) and Health disparities and outcomes (23 papers). Per Tynelius is often cited by papers focused on Birth, Development, and Health (54 papers), Obesity, Physical Activity, Diet (50 papers) and Health disparities and outcomes (23 papers). Per Tynelius collaborates with scholars based in Sweden, United Kingdom and Finland. Per Tynelius's co-authors include Finn Rasmussen, Karri Silventoinen, G. David Batty, David Gunnell, Francisco B. Ortega, Daniel Berglind, George Davey Smith, Patrik K. E. Magnusson, Debbie A. Lawlor and Johan Sundström and has published in prestigious journals such as Circulation, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Per Tynelius

149 papers receiving 5.3k citations

Hit Papers

Muscular strength in male adolescents and premature death... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Tynelius Sweden 44 1.7k 1.3k 1.1k 979 633 150 5.4k
Turid Lingaas Holmen Norway 41 1.5k 0.8× 644 0.5× 1.4k 1.3× 923 0.9× 394 0.6× 97 5.4k
Carmen R. Isasi United States 44 2.0k 1.2× 474 0.4× 1.6k 1.4× 1.3k 1.3× 863 1.4× 288 6.6k
Susanne R. de Rooij Netherlands 40 1.5k 0.9× 3.4k 2.7× 827 0.8× 969 1.0× 553 0.9× 127 6.6k
Tuija Tammelin Finland 48 3.5k 2.0× 980 0.8× 2.7k 2.5× 712 0.7× 369 0.6× 227 7.6k
Kristi B. Adamo Canada 43 4.0k 2.3× 1.5k 1.2× 2.6k 2.4× 719 0.7× 611 1.0× 198 8.5k
Amanda Daley United Kingdom 44 2.1k 1.2× 611 0.5× 1.8k 1.6× 944 1.0× 255 0.4× 173 6.3k
María M. Llabre United States 44 753 0.4× 382 0.3× 623 0.6× 1.3k 1.3× 1.0k 1.7× 185 6.5k
Deborah L. Wingard United States 54 1.9k 1.1× 408 0.3× 1.4k 1.2× 1.5k 1.5× 1.1k 1.7× 125 9.9k
Jardena J. Puder Switzerland 41 2.7k 1.6× 781 0.6× 1.4k 1.2× 471 0.5× 314 0.5× 161 5.7k
Craig E. Pennell Australia 44 1.6k 0.9× 2.1k 1.7× 435 0.4× 657 0.7× 163 0.3× 195 6.0k

Countries citing papers authored by Per Tynelius

Since Specialization
Citations

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

Fields of papers citing papers by Per Tynelius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Tynelius

This figure shows the co-authorship network connecting the top 25 collaborators of Per Tynelius. A scholar is included among the top collaborators of Per Tynelius 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 Per Tynelius. Per Tynelius 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.
Brynedal, Boel, et al.. (2025). Risk stratification for cardiovascular disease: a comparative analysis of cluster analysis and traditional prediction models. European Journal of Preventive Cardiology. 1 indexed citations
2.
Zhang, Guoqiang, Per Tynelius, Maya B. Mathur, et al.. (2024). Population Trends and Individual Fluidity of Sexual Identity Among Stockholm County Residents. JAMA Network Open. 7(12). e2447627–e2447627. 1 indexed citations
3.
4.
Bell, Max, Maria‐Pia Hergens, Stefan Fors, et al.. (2023). Individual and neighborhood risk factors of hospital admission and death during the COVID-19 pandemic: a population-based cohort study. BMC Medicine. 21(1). 1–1. 16 indexed citations
5.
Gustafsson, Lars, et al.. (2021). Machine learning for prediction of diabetes risk in middle-aged Swedish people. Heliyon. 7(7). e07419–e07419. 31 indexed citations
6.
Tynelius, Per, et al.. (2019). The association of mobility disability and obesity with risk of unemployment in two cohorts from Sweden. BMC Public Health. 19(1). 347–347. 15 indexed citations
7.
Hagström, Hannes, Per Tynelius, & Finn Rasmussen. (2017). High BMI in late adolescence predicts future severe liver disease and hepatocellular carcinoma: a national, population-based cohort study in 1.2 million men. Gut. 67(8). 1536–1542. 72 indexed citations
9.
Bohman, Benjamin, et al.. (2017). Prevention of Childhood Obesity in Child Health Services: Follow-Up of the PRIMROSE Trial. Childhood Obesity. 14(2). 99–105. 23 indexed citations
11.
Tynelius, Per, et al.. (2016). The bidirectional association between body weight and mobility disability: A population-based cohort. Disability and health journal. 9(4). 632–637. 20 indexed citations
12.
Rasmussen, Finn, et al.. (2015). Anthropometric measures and risk of atrial fibrillation - a cohort study of 1.2 million young men. European Heart Journal. 36. 910–910. 1 indexed citations
14.
Jelenkovic, Aline, Karri Silventoinen, Per Tynelius, & Finn Rasmussen. (2014). Association of paternal IQ in early adulthood with offspring mortality and hospital admissions for injuries: a cohort study of 503 492 Swedish children. Journal of Epidemiology & Community Health. 68(7). 679–682. 6 indexed citations
15.
Batty, G. David, Elise Whitley, Catharine R. Galé, et al.. (2012). Impact of mental health problems on case fatality in male cancer patients. British Journal of Cancer. 106(11). 1842–1845. 33 indexed citations
16.
Menezes, Paulo Rossi, Glyn Lewis, Finn Rasmussen, et al.. (2009). Paternal and maternal ages at conception and risk of bipolar affective disorder in their offspring. Psychological Medicine. 40(3). 477–485. 49 indexed citations
17.
Rasmussen, Finn, et al.. (2006). The Swedish Young Male Twins Study: A Resource for Longitudinal Research on Risk Factors for Obesity and Cardiovascular Diseases. Twin Research and Human Genetics. 9(6). 883–889. 8 indexed citations
18.
Rasmussen, Finn, et al.. (2006). The Swedish Young Male Twins Study: A Resource for Longitudinal Research on Risk Factors for Obesity and Cardiovascular Diseases. Twin Research and Human Genetics. 9(6). 883–889. 7 indexed citations
19.
Lawlor, Debbie A., Jonathan A C Sterne, Per Tynelius, George Davey Smith, & Finn Rasmussen. (2006). Association of Childhood Socioeconomic Position with Cause-specific Mortality in a Prospective Record Linkage Study of 1,839,384 Individuals. American Journal of Epidemiology. 164(9). 907–915. 113 indexed citations
20.
Magnusson, Patrik K. E., Finn Rasmussen, Debbie A. Lawlor, Per Tynelius, & David Gunnell. (2005). Association of Body Mass Index with Suicide Mortality: A Prospective Cohort Study of More than One Million Men. American Journal of Epidemiology. 163(1). 1–8. 127 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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