J. Rieppo

2.3k total citations
26 papers, 1.8k citations indexed

About

J. Rieppo is a scholar working on Rheumatology, Applied Mathematics and Geometry and Topology. According to data from OpenAlex, J. Rieppo has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 10 papers in Applied Mathematics and 9 papers in Geometry and Topology. Recurrent topics in J. Rieppo's work include Osteoarthritis Treatment and Mechanisms (14 papers), Meromorphic and Entire Functions (10 papers) and Advanced Differential Equations and Dynamical Systems (9 papers). J. Rieppo is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (14 papers), Meromorphic and Entire Functions (10 papers) and Advanced Differential Equations and Dynamical Systems (9 papers). J. Rieppo collaborates with scholars based in Finland, India and China. J. Rieppo's co-authors include Jukka S. Jurvelin, Juha Töyräs, Heikki J. Helminen, Mikko S. Laasanen, Ilpo Laine, Miika T. Nieminen, Janne Heittokangas, Simo Saarakkala, Jani Hirvonen and Rami K. Korhonen and has published in prestigious journals such as Journal of Biomechanics, Physics in Medicine and Biology and Journal of Orthopaedic Research®.

In The Last Decade

J. Rieppo

25 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Rieppo Finland 17 974 613 585 456 351 26 1.8k
Rhima M. Coleman United States 15 186 0.2× 291 0.5× 163 0.3× 13 0.0× 5 0.0× 27 1.2k
Wei Yong Gu United States 20 402 0.4× 584 1.0× 546 0.9× 2 0.0× 1 0.0× 35 1.5k
Gurjit S. Mandair United States 12 129 0.1× 268 0.4× 144 0.2× 5 0.0× 28 1.1k
Bram G. Sengers United Kingdom 24 275 0.3× 540 0.9× 291 0.5× 2 0.0× 1 0.0× 54 1.6k
Jarno Rieppo Finland 20 1.3k 1.3× 815 1.3× 697 1.2× 26 1.8k
Christoph Brochhausen Germany 22 230 0.2× 271 0.4× 540 0.9× 2 0.0× 56 1.4k
Jason P. Mansell United Kingdom 16 295 0.3× 144 0.2× 162 0.3× 4 0.0× 41 1.1k
Cécile Olivier France 15 42 0.0× 324 0.5× 137 0.2× 7 0.0× 27 729
Gregory R. Wohl Canada 20 150 0.2× 231 0.4× 160 0.3× 5 0.0× 47 1.0k
Michael B. Albro United States 21 538 0.6× 401 0.7× 344 0.6× 39 1.2k

Countries citing papers authored by J. Rieppo

Since Specialization
Citations

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

Fields of papers citing papers by J. Rieppo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Rieppo

This figure shows the co-authorship network connecting the top 25 collaborators of J. Rieppo. A scholar is included among the top collaborators of J. Rieppo 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 J. Rieppo. J. Rieppo 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.
Rieppo, J.. (2015). Malmquist-type Results for Difference Equations with Periodic Coefficients. Computational Methods and Function Theory. 15(3). 449–457. 3 indexed citations
2.
Rieppo, Lassi, Simo Saarakkala, Jukka S. Jurvelin, & J. Rieppo. (2013). Prediction of compressive stiffness of articular cartilage using Fourier transform infrared spectroscopy. Journal of Biomechanics. 46(7). 1269–1275. 12 indexed citations
3.
4.
Heittokangas, Janne, Risto Korhonen, Ilpo Laine, & J. Rieppo. (2010). Uniqueness of meromorphic functions sharing values with their shifts. Complex Variables and Elliptic Equations. 56(1-4). 81–92. 68 indexed citations
5.
Heittokangas, Janne, Risto Korhonen, Ilpo Laine, J. Rieppo, & Jiang Zhang. (2009). Value sharing results for shifts of meromorphic functions, and sufficient conditions for periodicity. Journal of Mathematical Analysis and Applications. 355(1). 352–363. 137 indexed citations
6.
7.
Rieppo, J., et al.. (2008). Two normality criteria and the converse of the Bloch principle. Journal of Mathematical Analysis and Applications. 353(1). 43–48. 5 indexed citations
8.
Rieppo, J., Marko Hyttinen, Heli Ruotsalainen, et al.. (2008). Changes in spatial collagen content and collagen network architecture in porcine articular cartilage during growth and maturation. Osteoarthritis and Cartilage. 17(4). 448–455. 110 indexed citations
9.
Nissi, Mikko J., J. Rieppo, Juha Töyräs, et al.. (2007). Estimation of mechanical properties of articular cartilage with MRI – dGEMRIC, T2 and T1 imaging in different species with variable stages of maturation. Osteoarthritis and Cartilage. 15(10). 1141–1148. 76 indexed citations
10.
Nissi, Mikko J., J. Rieppo, Juha Töyräs, et al.. (2006). T2 relaxation time mapping reveals age- and species-related diversity of collagen network architecture in articular cartilage. Osteoarthritis and Cartilage. 14(12). 1265–1271. 97 indexed citations
11.
Laine, Ilpo & J. Rieppo. (2004). Differential polynomials generated by linear differential equations. Complex Variables Theory and Application An International Journal. 49(12). 897–911. 25 indexed citations
12.
Nissi, Mikko J., Juha Töyräs, Mikko S. Laasanen, et al.. (2003). Proteoglycan and collagen sensitive MRI evaluation of normal and degenerated articular cartilage. Journal of Orthopaedic Research®. 22(3). 557–564. 137 indexed citations
13.
Laasanen, Mikko S., Juha Töyräs, Rami K. Korhonen, et al.. (2003). Biomechanical properties of knee articular cartilage. Biorheology. 40(1-3). 133–140. 166 indexed citations
14.
Nissi, Mikko J., J. Rieppo, Juha Töyräs, et al.. (2003). T2 relaxation reveals differences in spatial collagen network anisotropy in human, bovine and porcine articular cartilage. 1 indexed citations
15.
Töyräs, Juha, Heikki J. Nieminen, Miika T. Nieminen, et al.. (2002). Ultrasonic characterization of articular cartilage. Biorheology. 39(1-2). 161–169. 38 indexed citations
16.
Gundersen, Gary G., et al.. (2002). Meromorphic solutions of generalized Schröder equations. Aequationes Mathematicae. 63(1-2). 110–135. 50 indexed citations
17.
Korhonen, Rami K., Mikko S. Laasanen, Juha Töyräs, et al.. (2002). Comparison of the equilibrium response of articular cartilage in unconfined compression, confined compression and indentation. Journal of Biomechanics. 35(7). 903–909. 357 indexed citations
18.
Rieppo, J., Juha Töyräs, & Jani Hirvonen. (2001). DEPTH-DEPENDENT MECHANICAL PROPERTIES OF BOVINE PATELLAR CARTILAGE. 6 indexed citations
19.
Rieppo, J. & Juha Töyräs. (2000). QUANTITATIVE MICROSCOPICAL AND MECHANICAL ANALYSES REVEAL SENSITIVELY STRUCTURAL AND FUNCTIONAL CHANGES OF ARTICULAR CARTILAGE AFTER ENZYMATIC DEGRADATION USING COLLAGENASE AND ELASTASE. 1 indexed citations
20.
Töyräs, Juha, J. Rieppo, Miika T. Nieminen, Heikki J. Helminen, & Jukka S. Jurvelin. (1999). Characterization of enzymatically induced degradation of articular cartilage using high frequency ultrasound. Physics in Medicine and Biology. 44(11). 2723–2733. 136 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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