Paul Jarle Mork

5.2k total citations
122 papers, 3.1k citations indexed

About

Paul Jarle Mork is a scholar working on Pharmacology, Psychiatry and Mental health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paul Jarle Mork has authored 122 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Pharmacology, 41 papers in Psychiatry and Mental health and 26 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Paul Jarle Mork's work include Musculoskeletal pain and rehabilitation (68 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (38 papers) and Sleep and related disorders (18 papers). Paul Jarle Mork is often cited by papers focused on Musculoskeletal pain and rehabilitation (68 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (38 papers) and Sleep and related disorders (18 papers). Paul Jarle Mork collaborates with scholars based in Norway, Denmark and Australia. Paul Jarle Mork's co-authors include Tom Ivar Lund Nilsen, Andreas Holtermann, Rolf H. Westgaard, Ottar Vasseljen, Kerstin Bach, Eivind Schjelderup Skarpsno, Ulf Lundberg, Roberto Riva, Karen Søgaard and Anne Lovise Nordstoga and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Paul Jarle Mork

117 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Jarle Mork Norway	33	1.5k	813	466	348	334	122	3.1k
Britt Larsson Sweden	31	1.4k 0.9×	694 0.9×	617 1.3×	127 0.4×	243 0.7×	90	3.0k
Tasha R. Stanton Australia	35	2.8k 1.9×	740 0.9×	870 1.9×	245 0.7×	231 0.7×	117	4.7k
Deirdre A. Hurley Ireland	34	1.7k 1.1×	638 0.8×	331 0.7×	305 0.9×	585 1.8×	73	3.2k
Mitchell Haas United States	32	1.9k 1.3×	827 1.0×	261 0.6×	410 1.2×	436 1.3×	100	3.9k
Cormac Ryan United Kingdom	26	1.4k 1.0×	572 0.7×	1.1k 2.4×	673 1.9×	443 1.3×	99	3.3k
Luc Vanhees Belgium	34	724 0.5×	967 1.2×	1.5k 3.2×	831 2.4×	422 1.3×	72	6.3k
Michael E. Geisser United States	46	3.8k 2.5×	2.4k 2.9×	814 1.7×	344 1.0×	531 1.6×	129	6.2k
Lorie Richards United States	37	763 0.5×	2.4k 2.9×	268 0.6×	255 0.7×	190 0.6×	99	8.1k
Jørgen Skotte Denmark	28	922 0.6×	164 0.2×	547 1.2×	341 1.0×	422 1.3×	69	2.5k
Maureen J. Simmonds United States	30	1.8k 1.2×	621 0.8×	286 0.6×	202 0.6×	239 0.7×	81	2.8k

Countries citing papers authored by Paul Jarle Mork

Since Specialization

Citations

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

Fields of papers citing papers by Paul Jarle Mork

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Jarle Mork. 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 Paul Jarle Mork. The network helps show where Paul Jarle Mork may publish in the future.

Co-authorship network of co-authors of Paul Jarle Mork

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

All Works

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20 of 20 papers shown

Kongsvold, Atle, Stian Lydersen, Maria Vollsæter, et al.. (2025). Device-measured physical activity in adults born preterm with very low birth weight and mediation by motor abilities. PLoS ONE. 20(1). e0312875–e0312875. 1 indexed citations

Skarpsno, Eivind Schjelderup, Atle Kongsvold, Bjørn Olav Åsvold, et al.. (2024). Intergenerational and genetic influences on physical activity: family data from the HUNT study, Norway. British Journal of Sports Medicine. 58(19). 1123–1130.

Oldervoll, Line, Lennart Åström, Håvard Kjesbu Skjellegrind, et al.. (2024). The association between age and long-term quality of life after curative treatment for prostate cancer: a cross-sectional study. Scandinavian Journal of Urology. 59. 31–38. 2 indexed citations

Marcuzzi, Anna, Lene Aasdahl, Sigmund Gismervik, et al.. (2024). An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial. JMIR Human Factors. 11. e55716–e55716. 1 indexed citations

Øverås, Cecilie K., Christian Volmar Skovsgaard, Louise Fleng Sandal, et al.. (2024). Cost-effectiveness analysis of app-delivered self-management support (selfBACK) in addition to usual care for people with low back pain in Denmark. BMJ Open. 14(9). e086800–e086800.

Tikanmäki, Marjaana, Petteri Hovi, Katri Räikkönen, et al.. (2024). Physical activity and cognitive function in adults born very preterm or with very low birth weight–an individual participant data meta-analysis. PLoS ONE. 19(2). e0298311–e0298311. 2 indexed citations

Rasmussen, Charlotte Diana Nørregaard, Louise Fleng Sandal, Andreas Holtermann, et al.. (2024). Effect of a smartphone self-management digital support system for low-back pain (selfBACK) among workers with high physical work demands – secondary analysis of a randomized controlled trial. Scandinavian Journal of Work Environment & Health. 50(8). 613–621. 1 indexed citations

Nilsen, Tom Ivar Lund, Karen Wood, Frances S Mair, et al.. (2023). The selfBACK artificial intelligence‐based smartphone app can improve low back pain outcome even in patients with high levels of depression or stress. European Journal of Pain. 27(5). 568–579. 21 indexed citations

Bardal, Ellen Marie, Louise Fleng Sandal, Tom Ivar Lund Nilsen, et al.. (2023). Do age, gender, and education modify the effectiveness of app-delivered and tailored self-management support among adults with low back pain?—Secondary analysis of the selfBACK randomised controlled trial. SHILAP Revista de lepidopterología. 2(9). e0000302–e0000302. 3 indexed citations

10.

Nordstoga, Anne Lovise, Lene Aasdahl, Louise Fleng Sandal, et al.. (2023). The Role of Pain Duration and Pain Intensity on the Effectiveness of App-Delivered Self-Management for Low Back Pain (selfBACK): Secondary Analysis of a Randomized Controlled Trial. JMIR mhealth and uhealth. 11. e40422–e40422. 6 indexed citations

11.

Svendsen, Malene Jagd, Louise Fleng Sandal, Per Kjær, et al.. (2021). Using Intervention Mapping to Develop a Decision Support System–Based Smartphone App (selfBACK) to Support Self-management of Nonspecific Low Back Pain: Development and Usability Study. Journal of Medical Internet Research. 24(1). e26555–e26555. 19 indexed citations

12.

Nordstoga, Anne Lovise, et al.. (2020). Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies. 7(2). e18729–e18729. 22 indexed citations

13.

Rasmussen, Charlotte Diana Nørregaard, Malene Jagd Svendsen, Karen Wood, et al.. (2020). App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols. 9(10). e20308–e20308. 10 indexed citations

14.

Sandal, Louise Fleng, Mette Jensen Stochkendahl, Malene Jagd Svendsen, et al.. (2019). An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. JMIR Research Protocols. 8(12). e14720–e14720. 34 indexed citations

15.

Amorim, Anita B., Paulo H. Ferreira, Manuela L. Ferreira, et al.. (2018). Influence of family history on prognosis of spinal pain and the role of leisure time physical activity and body mass index: a prospective study using family-linkage data from the Norwegian HUNT study. BMJ Open. 8(10). e022785–e022785. 5 indexed citations

16.

Coenen, Pieter, Maaike A. Huysmans, Andreas Holtermann, et al.. (2018). Can socioeconomic health differences be explained by physical activity at work and during leisure time? Rationale and protocol of the active worker individual participant meta-analysis. BMJ Open. 8(10). e023379–e023379. 15 indexed citations

17.

Johansson, Melker S., Tarcisio F de Campos, Manuela L. Ferreira, et al.. (2017). Prevalence and pattern of co-occurring musculoskeletal pain and its association with back-related disability among people with persistent low back pain: protocol for a systematic review and meta-analysis. Systematic Reviews. 6(1). 258–258. 7 indexed citations

18.

Nilsen, Tom Ivar Lund, et al.. (2016). Psychosocial work stress, leisure time physical exercise and the risk of chronic pain in the neck/shoulders: Longitudinal data from the Norwegian HUNT Study. International Journal of Occupational Medicine and Environmental Health. 29(4). 585–595. 33 indexed citations

19.

Nilsen, Tom Ivar Lund, et al.. (2014). Parental chronic pain in relation to chronic pain in their adult offspring: family-linkage within the HUNT Study, Norway. BMC Public Health. 14(1). 797–797. 9 indexed citations

20.

Mork, Paul Jarle & Rolf H. Westgaard. (2007). The influence of body posture, arm movement, and work stress on trapezius activity during computer work. European Journal of Applied Physiology. 101(4). 445–456. 34 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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