Juhani Määttä

1.1k total citations
34 papers, 760 citations indexed

About

Juhani Määttä is a scholar working on Pharmacology, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Juhani Määttä has authored 34 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pharmacology, 29 papers in Pathology and Forensic Medicine and 15 papers in Biomedical Engineering. Recurrent topics in Juhani Määttä's work include Spine and Intervertebral Disc Pathology (29 papers), Musculoskeletal pain and rehabilitation (29 papers) and Medical Imaging and Analysis (15 papers). Juhani Määttä is often cited by papers focused on Spine and Intervertebral Disc Pathology (29 papers), Musculoskeletal pain and rehabilitation (29 papers) and Medical Imaging and Analysis (15 papers). Juhani Määttä collaborates with scholars based in Finland, United Kingdom and Hong Kong. Juhani Määttä's co-authors include Jaro Karppinen, Frances M. K. Williams, Maxim B. Freidin, Marinko Rade, Jaakko Niinimäki, Dino Samartzis, Kmc Cheung, Keith D. K. Luk, Alex J. MacGregor and Olavi Airaksinen and has published in prestigious journals such as Scientific Reports, Spine and Medicine.

In The Last Decade

Juhani Määttä

33 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juhani Määttä Finland 13 651 531 305 203 85 34 760
Jani Takatalo Finland 10 579 0.9× 545 1.0× 227 0.7× 158 0.8× 60 0.7× 17 704
Florence Mok Canada 7 554 0.9× 440 0.8× 233 0.8× 177 0.9× 52 0.6× 13 656
Mari Kuisma Finland 9 522 0.8× 438 0.8× 196 0.6× 169 0.8× 89 1.0× 9 613
Liisa Kerttula Finland 15 625 1.0× 440 0.8× 356 1.2× 282 1.4× 76 0.9× 21 809
Uruj Zehra Pakistan 11 432 0.7× 291 0.5× 211 0.7× 154 0.8× 76 0.9× 27 521
Lee Breakwell United Kingdom 11 537 0.8× 386 0.7× 529 1.7× 75 0.4× 103 1.2× 26 936
Sertaç Kırnaz United States 16 779 1.2× 389 0.7× 666 2.2× 198 1.0× 44 0.5× 63 984
R. D. Fraser Australia 11 556 0.9× 380 0.7× 347 1.1× 115 0.6× 39 0.5× 14 644
Mauno Kurunlahti Finland 17 1.1k 1.8× 933 1.8× 618 2.0× 260 1.3× 109 1.3× 23 1.3k
Arun Ranganathan United Kingdom 14 720 1.1× 322 0.6× 632 2.1× 184 0.9× 82 1.0× 34 910

Countries citing papers authored by Juhani Määttä

Since Specialization
Citations

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

Fields of papers citing papers by Juhani Määttä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhani Määttä

This figure shows the co-authorship network connecting the top 25 collaborators of Juhani Määttä. A scholar is included among the top collaborators of Juhani Määttä 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 Juhani Määttä. Juhani Määttä 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.
Tiulpin, Aleksei, et al.. (2025). Robust Radiomic Signatures of Intervertebral Disc Degeneration From MRI. Spine. 50(24). 1737–1746. 1 indexed citations
2.
Oura, Petteri, et al.. (2024). Pressure Pain Sensitivity and Chronotype: A Population-based Study of Middle-aged Finns. Journal of Pain. 25(7). 104473–104473. 1 indexed citations
3.
4.
Schulze, Friederike, Juhani Määttä, Florian Brunner, et al.. (2024). Proteomic analysis of serum in a population‐based cohort did not reveal a biomarker for Modic changes. JOR Spine. 7(3). e1337–e1337. 1 indexed citations
5.
Määttä, Juhani, Jaro Karppinen, Petteri Oura, et al.. (2023). Association of accelerometer-measured physical activity, back static muscular endurance and abdominal obesity with radicular pain and non-specific low back pain. Scientific Reports. 13(1). 7736–7736. 4 indexed citations
6.
Hoàng, Nguyễn Huy, et al.. (2023). A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. 1–5. 2 indexed citations
7.
Niinimäki, Jaakko, Roberto Blanco Sequeiros, Juhani Määttä, et al.. (2023). The role of co-occurring insomnia and mental distress in the association between lumbar disc degeneration and low back pain related disability. BMC Musculoskeletal Disorders. 24(1). 293–293. 2 indexed citations
8.
Tiulpin, Aleksei, Simo Saarakkala, Jaakko Niinimäki, et al.. (2022). External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966. Spine. 48(7). 484–491. 11 indexed citations
9.
Karppinen, Jaro, Jaakko Niinimäki, Roberto Blanco Sequeiros, et al.. (2022). Association of lumbar disc degeneration with low back pain in middle age in the Northern Finland Birth Cohort 1966. BMC Musculoskeletal Disorders. 23(1). 359–359. 15 indexed citations
10.
Oura, Petteri, Juho‐Antti Junno, Maisa Niemelä, et al.. (2020). Association Between Vertebral Dimensions and Lumbar Modic Changes. Spine. 46(7). E415–E425. 2 indexed citations
11.
Määttä, Juhani, Petteri Oura, Eero Kyllönen, et al.. (2020). Association Between Modic Changes and Low Back Pain in Middle Age. Spine. 45(19). 1360–1367. 48 indexed citations
12.
Määttä, Juhani, et al.. (2020). Lumbosacral transitional vertebrae are associated with lumbar degeneration: retrospective evaluation of 3855 consecutive abdominal CT scans. European Radiology. 30(6). 3409–3416. 45 indexed citations
13.
Määttä, Juhani, Marinko Rade, Maxim B. Freidin, et al.. (2018). Strong association between vertebral endplate defect and Modic change in the general population. Scientific Reports. 8(1). 16630–16630. 41 indexed citations
14.
Määttä, Juhani, et al.. (2018). Vertebral Endplate Defect as Initiating Factor in Intervertebral Disc Degeneration; Strong Association between Endplate Defect and Disc Degeneration in the General Population. 8(1). 9 indexed citations
15.
Rade, Marinko, Juhani Määttä, Maxim B. Freidin, et al.. (2017). Vertebral Endplate Defect as Initiating Factor in Intervertebral Disc Degeneration. Spine. 43(6). 412–419. 79 indexed citations
16.
Määttä, Juhani, Jaro Karppinen, Markus Paananen, et al.. (2016). Refined Phenotyping of Modic Changes. Medicine. 95(22). e3495–e3495. 77 indexed citations
17.
18.
Määttä, Juhani, Kmc Cheung, Jaro Karppinen, & Dino Samartzis. (2014). The Association of Modic Changes and MRI Phenotypes of the Lumbar Spine: A Population-Based Study. Global Spine Journal. 4(1_suppl). s–34.
19.
Määttä, Juhani, et al.. (2014). Vertebral endplate change as a feature of intervertebral disc degeneration: a heritability study. European Spine Journal. 23(9). 1856–1862. 55 indexed citations
20.
Määttä, Juhani, Hannu Kautiainen, Ville Leinonen, et al.. (2013). Association of Modic changes with health-related quality of life among patients referred to spine surgery. Scandinavian Journal of Pain. 5(1). 36–40. 5 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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