Raimund W. Kinne

7.6k total citations · 3 hit papers
129 papers, 6.1k citations indexed

About

Raimund W. Kinne is a scholar working on Rheumatology, Surgery and Immunology. According to data from OpenAlex, Raimund W. Kinne has authored 129 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Rheumatology, 33 papers in Surgery and 27 papers in Immunology. Recurrent topics in Raimund W. Kinne's work include Rheumatoid Arthritis Research and Therapies (37 papers), Osteoarthritis Treatment and Mechanisms (23 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). Raimund W. Kinne is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (37 papers), Osteoarthritis Treatment and Mechanisms (23 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). Raimund W. Kinne collaborates with scholars based in Germany, United States and China. Raimund W. Kinne's co-authors include Bruno Stuhlmüller, Gerd-R. Burmester, Ernesta Palombo‐Kinne, Frank Emmrich, Rolf Bräuer, Dirk Pohlers, Elke Kunisch, Thomas Häupl, Gerd R Burmester and Lars Morawietz and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Raimund W. Kinne

129 papers receiving 6.0k citations

Hit Papers

Macrophages in rheumatoid arthritis. 2000 2026 2008 2017 2000 2006 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raimund W. Kinne Germany 38 2.4k 1.8k 1.4k 992 765 129 6.1k
Peter L. E. M. van Lent Netherlands 43 3.0k 1.2× 2.3k 1.3× 1.8k 1.3× 833 0.8× 894 1.2× 129 6.1k
Ewa Paleolog United Kingdom 46 1.6k 0.7× 2.3k 1.3× 1.5k 1.1× 1.2k 1.2× 989 1.3× 123 6.6k
Elena Neumann Germany 37 2.3k 0.9× 1.9k 1.0× 1.2k 0.8× 988 1.0× 452 0.6× 175 5.5k
Kurt Redlich Austria 41 2.8k 1.1× 3.6k 2.0× 1.4k 1.0× 1.9k 1.9× 910 1.2× 91 6.8k
David Brand United States 44 1.4k 0.6× 2.0k 1.1× 3.0k 2.2× 1.0k 1.0× 746 1.0× 128 7.5k
Thomas Pap Germany 48 3.6k 1.5× 3.4k 1.9× 1.4k 1.0× 1.7k 1.7× 1.2k 1.6× 199 8.1k
Andrew Filer United Kingdom 49 2.7k 1.1× 1.9k 1.1× 2.5k 1.7× 1.1k 1.1× 667 0.9× 176 7.2k
Edward P. Amento United States 43 1.2k 0.5× 2.3k 1.3× 1.8k 1.3× 1.2k 1.2× 1.2k 1.5× 78 8.2k
G. Kenneth Haines United States 43 1.6k 0.7× 2.1k 1.2× 2.3k 1.7× 2.2k 2.2× 702 0.9× 92 6.6k
Ji Hyeon Ju South Korea 44 2.7k 1.1× 2.0k 1.1× 1.5k 1.1× 876 0.9× 436 0.6× 245 6.7k

Countries citing papers authored by Raimund W. Kinne

Since Specialization
Citations

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

Fields of papers citing papers by Raimund W. Kinne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raimund W. Kinne. 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 Raimund W. Kinne. The network helps show where Raimund W. Kinne may publish in the future.

Co-authorship network of co-authors of Raimund W. Kinne

This figure shows the co-authorship network connecting the top 25 collaborators of Raimund W. Kinne. A scholar is included among the top collaborators of Raimund W. Kinne 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 Raimund W. Kinne. Raimund W. Kinne 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.
Böhm, Beate, et al.. (2025). Mechanical forces trigger invasive behavior in synovial fibroblasts through N-cadherin/ADAM15 -dependent modulation of LncRNA H19. Scientific Reports. 15(1). 9814–9814. 2 indexed citations
2.
Hortschansky, Peter, Stefan Maenz, Bernhard Illerhaus, et al.. (2023). BMP-2 (and partially GDF-5) coating significantly accelerates and augments bone formation close to hydroxyapatite/tricalcium-phosphate/brushite implant cylinders for tibial bone defects in senile, osteopenic sheep. Journal of Materials Science Materials in Medicine. 34(7). 31–31. 7 indexed citations
3.
5.
Kinne, Raimund W., Elke Kunisch, Sascha Heinemann, et al.. (2021). Performance of Calcium Phosphate Cements in the Augmentation of Sheep Vertebrae—An Ex Vivo Study. Materials. 14(14). 3873–3873. 4 indexed citations
7.
Saman, André El, et al.. (2021). The Inverse Spacer—A Novel, Safe, and Cost-Effective Approach in Routine Procedures for Revision Knee Arthroplasty. Journal of Clinical Medicine. 10(5). 971–971. 4 indexed citations
8.
Huber, René, et al.. (2021). In Vitro Cartilage Regeneration with a Three-Dimensional Polyglycolic Acid (PGA) Implant in a Bovine Cartilage Punch Model. International Journal of Molecular Sciences. 22(21). 11769–11769. 3 indexed citations
9.
Borowski, Andreas, et al.. (2020). Biopolymer surface modification of PLGA fibers enhances interfacial shear strength and supports immobilization of rhGDF-5 in fiber-reinforced brushite cement. Journal of the mechanical behavior of biomedical materials. 115. 104285–104285. 8 indexed citations
10.
Reuther, Anne U., et al.. (2020). Thickness of the Stifle Joint Articular Cartilage in Different Large Animal Models of Cartilage Repair and Regeneration. Cartilage. 13(2_suppl). 438S–452S. 13 indexed citations
11.
Bischoff, Sabine, Harald Schubert, Stefan Maenz, et al.. (2020). Systematic Postoperative Assessment of a Minimally-Invasive Sheep Model for the Treatment of Osteochondral Defects. Life. 10(12). 332–332. 1 indexed citations
12.
Huber, René, Bruno Stuhlmüller, Elke Kunisch, & Raimund W. Kinne. (2020). Discrepancy between Jun/Fos Proto-Oncogene mRNA and Protein Expression in the Rheumatoid Arthritis Synovial Membrane. SHILAP Revista de lepidopterología. 3(2). 181–194. 4 indexed citations
13.
14.
Kunisch, Elke, Stefanie Wagner, Stefan Maenz, et al.. (2019). The poly (l-lactid-co-glycolide; PLGA) fiber component of brushite-forming calcium phosphate cement induces the osteogenic differentiation of human adipose tissue-derived stem cells. Biomedical Materials. 14(5). 55012–55012. 11 indexed citations
15.
Foehr, Peter, et al.. (2018). In VitroAnalysis of Cartilage Regeneration Using a Collagen Type I Hydrogel (CaReS) in the Bovine Cartilage Punch Model. Cartilage. 10(3). 346–363. 18 indexed citations
16.
Kunisch, Elke, Stefan Maenz, Sabine Bischoff, et al.. (2017). GDF5 significantly augments the bone formation induced by an injectable, PLGA fiber-reinforced, brushite-forming cement in a sheep defect model of lumbar osteopenia. The Spine Journal. 17(11). 1685–1698. 15 indexed citations
18.
Bittner, Stefan, Nicole Bobak, Martin Feuchtenberger, et al.. (2011). Expression of K2P5.1 potassium channels on CD4+T lymphocytes correlates with disease activity in rheumatoid arthritis patients. Arthritis Research & Therapy. 13(1). R21–R21. 25 indexed citations
19.
Burkhardt, Harald, Philipp Meyer, Eberhard Buchner, et al.. (1997). The serine proteinase inhibitor antileukoproteinase specifically accumulates in normal but not in arthritic cartilage.. PubMed. 24(6). 1145–54. 5 indexed citations
20.
Bröker, Barbara M., Lorenzo Moretta, Ermanno Ciccone, et al.. (1990). Tγδ Cells and their Subsets in Blood and Synovial Tissue from Rheumatoid Arthritis Patients. Scandinavian Journal of Immunology. 32(6). 585–593. 60 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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