E.U. Sumer

592 total citations
12 papers, 497 citations indexed

About

E.U. Sumer is a scholar working on Rheumatology, Cancer Research and Immunology and Allergy. According to data from OpenAlex, E.U. Sumer has authored 12 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 5 papers in Cancer Research and 3 papers in Immunology and Allergy. Recurrent topics in E.U. Sumer's work include Osteoarthritis Treatment and Mechanisms (7 papers), Protease and Inhibitor Mechanisms (5 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). E.U. Sumer is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Protease and Inhibitor Mechanisms (5 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). E.U. Sumer collaborates with scholars based in Denmark, United States and Australia. E.U. Sumer's co-authors include M.A. Karsdal, Per Qvist, László B. Tankó, B.C. Søndergaard, Peter G. Mitchell, Kevin L. Duffin, Yuejun Zhen, Isabelle J. Brittain, Dennis A. Laska and Sophie Schaller and has published in prestigious journals such as Journal of Bacteriology, Osteoarthritis and Cartilage and FEBS Journal.

In The Last Decade

E.U. Sumer

11 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.U. Sumer Denmark 10 244 169 138 96 78 12 497
Lee‐Anne Stanton Canada 12 299 1.2× 355 2.1× 142 1.0× 67 0.7× 82 1.1× 15 686
Miyuki Chijiiwa Japan 10 238 1.0× 156 0.9× 124 0.9× 74 0.8× 105 1.3× 13 486
Tanja C. A. Tolboom Netherlands 7 212 0.9× 198 1.2× 87 0.6× 28 0.3× 58 0.7× 7 443
Andrew Skelton United Kingdom 18 277 1.1× 252 1.5× 207 1.5× 49 0.5× 26 0.3× 34 590
D. Wessinghage Germany 12 285 1.2× 180 1.1× 90 0.7× 31 0.3× 106 1.4× 62 612
Nathalie Amiable Canada 9 168 0.7× 206 1.2× 65 0.5× 63 0.7× 22 0.3× 14 417
Hidetoshi Tsushima Japan 17 222 0.9× 246 1.5× 120 0.9× 35 0.4× 15 0.2× 49 687
Claire Deligne France 8 88 0.4× 97 0.6× 52 0.4× 33 0.3× 95 1.2× 18 415
Michelle H. Tan United States 11 89 0.4× 183 1.1× 63 0.5× 16 0.2× 80 1.0× 19 396
Alejandro Morales United States 12 123 0.5× 170 1.0× 69 0.5× 17 0.2× 32 0.4× 27 640

Countries citing papers authored by E.U. Sumer

Since Specialization
Citations

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

Fields of papers citing papers by E.U. Sumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.U. Sumer. 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 E.U. Sumer. The network helps show where E.U. Sumer may publish in the future.

Co-authorship network of co-authors of E.U. Sumer

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

All Works

12 of 12 papers shown
1.
Bandyopadhyay, Purnima, et al.. (2012). Implication of Proteins Containing Tetratricopeptide Repeats in Conditional Virulence Phenotypes of Legionella pneumophila. Journal of Bacteriology. 194(14). 3579–3588. 12 indexed citations
2.
Klingelhöfer, Jörg, Henrik Devitt Møller, E.U. Sumer, et al.. (2009). Epidermal growth factor receptor ligands as new extracellular targets for the metastasis‐promoting S100A4 protein. FEBS Journal. 276(20). 5936–5948. 73 indexed citations
3.
4.
Zhen, Yuejun, Isabelle J. Brittain, Dennis A. Laska, et al.. (2008). Characterization of metalloprotease cleavage products of human articular cartilage. Arthritis & Rheumatism. 58(8). 2420–2431. 131 indexed citations
5.
Sumer, E.U., Gert Hein, S.H. Madsen, et al.. (2008). Patients with rheumatoid arthritis have an altered circulatory aggrecan profile. BMC Musculoskeletal Disorders. 9(1). 74–74. 18 indexed citations
6.
7.
Karsdal, M.A., et al.. (2007). 206 CARTILAGE DEGRADATION IS FULLY REVERSIBLE IN THE PRESENCE OF AGGRECANASE BUT NOT MATRIX METALLOPROTEINASE ACTIVITY. Osteoarthritis and Cartilage. 15. C120–C120. 1 indexed citations
8.
Sumer, E.U., Per Qvist, & László B. Tankó. (2007). Matrix metalloproteinase and aggrecanase generated aggrecan fragments: implications for the diagnostics and therapeutics of destructive joint diseases. Drug Development Research. 68(1). 1–13. 20 indexed citations
9.
Sumer, E.U., Sophie Schaller, B.C. Søndergaard, László B. Tankó, & Per Qvist. (2006). Application of biomarkers in the clinical development of new drugs for chondroprotection in destructive joint diseases: a review. Biomarkers. 11(6). 485–506. 15 indexed citations
10.
Sumer, E.U., B.C. Søndergaard, Jean‐Charles Rousseau, et al.. (2006). MMP and non-MMP-mediated release of aggrecan and its fragments from articular cartilage: a comparative study of three different aggrecan and glycosaminoglycan assays. Osteoarthritis and Cartilage. 15(2). 212–221. 50 indexed citations
11.
12.
Schaller, Sophie, Kim Henriksen, Pernille Høegh-Andersen, et al.. (2005). In Vitro, Ex Vivo , and In Vivo Methodological Approaches for Studying Therapeutic Targets of Osteoporosis and Degenerative Joint Diseases: How Biomarkers Can Assist?. Assay and Drug Development Technologies. 3(5). 553–580. 93 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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