Cordula Surmann‐Schmitt

933 total citations
16 papers, 761 citations indexed

About

Cordula Surmann‐Schmitt is a scholar working on Molecular Biology, Rheumatology and Surgery. According to data from OpenAlex, Cordula Surmann‐Schmitt has authored 16 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Rheumatology and 5 papers in Surgery. Recurrent topics in Cordula Surmann‐Schmitt's work include Osteoarthritis Treatment and Mechanisms (11 papers), Bone Metabolism and Diseases (6 papers) and Knee injuries and reconstruction techniques (3 papers). Cordula Surmann‐Schmitt is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (11 papers), Bone Metabolism and Diseases (6 papers) and Knee injuries and reconstruction techniques (3 papers). Cordula Surmann‐Schmitt collaborates with scholars based in Germany, United States and Japan. Cordula Surmann‐Schmitt's co-authors include Klaus von der Mark, Michael Stock, Helga von der Mark, Takako Hattori, Andreas Heß, Benoît De Crombrugghe, Michael R. Bösl, Sonja Gebhard, Catharina Müller and Eva Bauer and has published in prestigious journals such as Journal of Biological Chemistry, Development and Journal of Cell Science.

In The Last Decade

Cordula Surmann‐Schmitt

16 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cordula Surmann‐Schmitt Germany 13 390 293 151 138 121 16 761
Laura Tonachini Italy 12 282 0.7× 230 0.8× 382 2.5× 80 0.6× 131 1.1× 18 746
Aleksandar Francki United States 11 184 0.5× 289 1.0× 86 0.6× 87 0.6× 54 0.4× 11 573
April Mason‐Savas United States 17 542 1.4× 182 0.6× 100 0.7× 70 0.5× 94 0.8× 28 805
Mizuo Sugimoto Japan 11 473 1.2× 266 0.9× 125 0.8× 94 0.7× 74 0.6× 12 801
E. Helene Sage United States 7 294 0.8× 318 1.1× 71 0.5× 51 0.4× 140 1.2× 8 674
Fumitaka Ichida Japan 6 585 1.5× 173 0.6× 101 0.7× 71 0.5× 102 0.8× 7 839
Y. Koshizuka Japan 15 256 0.7× 324 1.1× 186 1.2× 238 1.7× 41 0.3× 19 773
Benjamin P. Sinder United States 16 330 0.8× 170 0.6× 247 1.6× 79 0.6× 66 0.5× 23 856
M. Helen Rajpar United Kingdom 9 605 1.6× 355 1.2× 156 1.0× 93 0.7× 71 0.6× 10 858
Tomoyo Sasaki United States 13 655 1.7× 139 0.5× 190 1.3× 75 0.5× 68 0.6× 16 867

Countries citing papers authored by Cordula Surmann‐Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Cordula Surmann‐Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cordula Surmann‐Schmitt. 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 Cordula Surmann‐Schmitt. The network helps show where Cordula Surmann‐Schmitt may publish in the future.

Co-authorship network of co-authors of Cordula Surmann‐Schmitt

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

All Works

16 of 16 papers shown
1.
Surmann‐Schmitt, Cordula, et al.. (2017). Defects in chondrocyte maturation and secondary ossification in mouse knee joint epiphyses due to Snorc deficiency. Osteoarthritis and Cartilage. 25(7). 1132–1142. 6 indexed citations
2.
Gasperowicz, Malgorzata, Cordula Surmann‐Schmitt, Y. Hamada, Florian Otto, & James C. Cross. (2013). The transcriptional co-repressor TLE3 regulates development of trophoblast giant cells lining maternal blood spaces in the mouse placenta. Developmental Biology. 382(1). 1–14. 37 indexed citations
3.
Gelse, Kolja, Patricia Klinger, Matthias Koch, et al.. (2011). Thrombospondin-1 Prevents Excessive Ossification in Cartilage Repair Tissue Induced by Osteogenic Protein-1. Tissue Engineering Part A. 17(15-16). 2101–2112. 34 indexed citations
4.
Surmann‐Schmitt, Cordula, Takako Sasaki, Takako Hattori, et al.. (2011). The Wnt antagonist Wif‐1 interacts with CTGF and inhibits CTGF activity. Journal of Cellular Physiology. 227(5). 2207–2216. 22 indexed citations
5.
Dragu, Adrian, et al.. (2011). Expression of HIF-1α in Ischemia and Reperfusion in Human Microsurgical Free Muscle Tissue Transfer. Plastic & Reconstructive Surgery. 127(6). 2293–2300. 16 indexed citations
6.
Klinger, Patricia, Cordula Surmann‐Schmitt, Matthias H. Brem, et al.. (2011). Chondromodulin 1 stabilizes the chondrocyte phenotype and inhibits endochondral ossification of porcine cartilage repair tissue. Arthritis & Rheumatism. 63(9). 2721–2731. 79 indexed citations
7.
Surmann‐Schmitt, Cordula, Michael R. Bösl, Georg Schett, et al.. (2011). Ucma is not necessary for normal development of the mouse skeleton. Bone. 50(3). 670–680. 33 indexed citations
8.
Krönke, Gerhard, Stefan Uderhardt, Kyung‐Ah Kim, et al.. (2010). R‐spondin 1 protects against inflammatory bone damage during murine arthritis by modulating the Wnt pathway. Arthritis & Rheumatism. 62(8). 2303–2312. 48 indexed citations
9.
Dragu, Adrian, Cordula Surmann‐Schmitt, Klaus von der Mark, et al.. (2010). Gene expression analysis of ischaemia and reperfusion in human microsurgical free muscle tissue transfer. Journal of Cellular and Molecular Medicine. 15(4). 983–993. 18 indexed citations
10.
Hattori, Takako, Catharina Müller, Sonja Gebhard, et al.. (2010). SOX9 is a major negative regulator of cartilage vascularization, bone marrow formation and endochondral ossification. Development. 137(6). 901–911. 219 indexed citations
11.
Surmann‐Schmitt, Cordula, et al.. (2009). Stable subclones of the chondrogenic murine cell line MC615 mimic distinct stages of chondrocyte differentiation. Journal of Cellular Biochemistry. 108(3). 589–599. 11 indexed citations
12.
Surmann‐Schmitt, Cordula, Uwe Dietz, Yukio Nakamura, et al.. (2009). Wif-1 is expressed at cartilage-mesenchyme interfaces and impedes Wnt3a-mediated inhibition of chondrogenesis. Journal of Cell Science. 122(20). 3627–3637. 90 indexed citations
13.
Surmann‐Schmitt, Cordula, Uwe Dietz, Trayana Kireva, et al.. (2007). Ucma, a Novel Secreted Cartilage-specific Protein with Implications in Osteogenesis. Journal of Biological Chemistry. 283(11). 7082–7093. 69 indexed citations
14.
Tagariello, Andreas, Julia Luther, Manuela Wuelling, et al.. (2007). Ucma — A novel secreted factor represents a highly specific marker for distal chondrocytes. Matrix Biology. 27(1). 3–11. 45 indexed citations
15.
Surmann‐Schmitt, Cordula, Takako Hattori, Michael Stock, et al.. (2006). Twisted Gastrulation Modulates Bone Morphogenetic Protein-induced Collagen II and X Expression in Chondrocytes in Vitro and in Vivo. Journal of Biological Chemistry. 281(42). 31790–31800. 5 indexed citations
16.
Surmann‐Schmitt, Cordula, Takako Hattori, Michael Stock, et al.. (2006). Twisted Gastrulation Modulates Bone Morphogenetic Protein-induced Collagen II and X Expression in Chondrocytesin Vitroandin Vivo. Journal of Biological Chemistry. 281(42). 31790–31800. 29 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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