Teemu K. Långsjö

555 total citations
10 papers, 460 citations indexed

About

Teemu K. Långsjö is a scholar working on Rheumatology, Molecular Biology and Biomaterials. According to data from OpenAlex, Teemu K. Långsjö has authored 10 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 4 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Teemu K. Långsjö's work include Osteoarthritis Treatment and Mechanisms (8 papers), Collagen: Extraction and Characterization (3 papers) and Knee injuries and reconstruction techniques (2 papers). Teemu K. Långsjö is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (8 papers), Collagen: Extraction and Characterization (3 papers) and Knee injuries and reconstruction techniques (2 papers). Teemu K. Långsjö collaborates with scholars based in Finland and United States. Teemu K. Långsjö's co-authors include Heikki J. Helminen, Mika M. Hyttinen, Alpo Pelttari, Darwin J. Prockop, Jari Arokoski, Marko Hyttinen, Ilkka Kiviranta, H. J. Helminen, K. Király and Machiko Arita and has published in prestigious journals such as Biochemical Journal, Annals of the Rheumatic Diseases and Osteoarthritis and Cartilage.

In The Last Decade

Teemu K. Långsjö

10 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teemu K. Långsjö Finland 9 246 108 103 96 74 10 460
Anja Kassner Sweden 6 168 0.7× 68 0.6× 135 1.3× 35 0.4× 76 1.0× 7 484
Donald Courter United States 8 323 1.3× 169 1.6× 128 1.2× 70 0.7× 43 0.6× 8 572
Hannele Uusitalo Finland 11 139 0.6× 104 1.0× 285 2.8× 53 0.6× 82 1.1× 12 541
S.P. Bruder United States 9 221 0.9× 211 2.0× 217 2.1× 207 2.2× 24 0.3× 9 764
Lauriane Janssen Belgium 10 70 0.3× 117 1.1× 122 1.2× 52 0.5× 67 0.9× 11 446
Rebekah S. Decker United States 10 368 1.5× 119 1.1× 176 1.7× 36 0.4× 58 0.8× 12 546
L. Fischer United States 4 394 1.6× 157 1.5× 224 2.2× 72 0.8× 88 1.2× 10 704
Wikky Tigchelaar‐Gutter Netherlands 10 112 0.5× 108 1.0× 264 2.6× 52 0.5× 93 1.3× 13 541
Pirkko Lammi Finland 9 366 1.5× 145 1.3× 106 1.0× 41 0.4× 42 0.6× 10 507
Pilar Lorenzo Sweden 13 550 2.2× 209 1.9× 192 1.9× 82 0.9× 123 1.7× 23 851

Countries citing papers authored by Teemu K. Långsjö

Since Specialization
Citations

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

Fields of papers citing papers by Teemu K. Långsjö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teemu K. Långsjö. 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 Teemu K. Långsjö. The network helps show where Teemu K. Långsjö may publish in the future.

Co-authorship network of co-authors of Teemu K. Långsjö

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

All Works

10 of 10 papers shown
1.
Långsjö, Teemu K., Anna Vasara, Mika M. Hyttinen, et al.. (2010). Quantitative Analysis of Collagen Network Structure and Fibril Dimensions in Cartilage Repair with Autologous Chondrocyte Transplantation. Cells Tissues Organs. 192(6). 351–360. 13 indexed citations
2.
Långsjö, Teemu K., Machiko Arita, & Heikki J. Helminen. (2009). Cartilage Collagen Fibril Network in Newborn Transgenic Mice Analyzed by Electron Microscopic Stereology. Cells Tissues Organs. 190(4). 209–218. 2 indexed citations
3.
Prockop, Darwin J., Machiko Arita, Shiwu Li, et al.. (2004). A human COL2A1 gene with an Arg519Cys mutation causes osteochondrodysplasia in transgenic mice. Arthritis & Rheumatism. 50(10). 3153–3160. 19 indexed citations
5.
Långsjö, Teemu K., et al.. (2001). Transgenic mice with inactive alleles for procollagen N-proteinase (ADAMTS-2) develop fragile skin and male sterility. Biochemical Journal. 355(2). 271–271. 106 indexed citations
6.
Lapveteläinen, Tuomo, Marko Hyttinen, Jessica Lindblom, et al.. (2001). More knee joint osteoarthritis (OA) in mice after inactivation of one allele of type II procollagen gene but less OA after lifelong voluntary wheel running exercise. Osteoarthritis and Cartilage. 9(2). 152–160. 51 indexed citations
7.
Långsjö, Teemu K., et al.. (2001). Transgenic mice with inactive alleles for procollagen N-proteinase (ADAMTS-2) develop fragile skin and male sterility. Biochemical Journal. 355(2). 271–278. 74 indexed citations
10.
Hyttinen, Marko, Jari Arokoski, Teemu K. Långsjö, et al.. (1998). Articular cartilage superficial zone collagen birefringence reduced and cartilage thickness increased before surface fibrillation in experimental osteoarthritis. Annals of the Rheumatic Diseases. 57(4). 237–245. 125 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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