Markus A. Wimmer

8.8k total citations
257 papers, 6.6k citations indexed

About

Markus A. Wimmer is a scholar working on Surgery, Rheumatology and Biomedical Engineering. According to data from OpenAlex, Markus A. Wimmer has authored 257 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Surgery, 59 papers in Rheumatology and 58 papers in Biomedical Engineering. Recurrent topics in Markus A. Wimmer's work include Orthopaedic implants and arthroplasty (137 papers), Total Knee Arthroplasty Outcomes (106 papers) and Osteoarthritis Treatment and Mechanisms (58 papers). Markus A. Wimmer is often cited by papers focused on Orthopaedic implants and arthroplasty (137 papers), Total Knee Arthroplasty Outcomes (106 papers) and Osteoarthritis Treatment and Mechanisms (58 papers). Markus A. Wimmer collaborates with scholars based in United States, Germany and Switzerland. Markus A. Wimmer's co-authors include Alfons Fischer, Joshua J. Jacobs, Kharma C. Foucher, Mathew T. Mathew, Joel A. Block, Laura E. Thorp, Robin Pourzal, Dale R. Sumner, Laurent Michel and Mauro Alini and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Markus A. Wimmer

250 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus A. Wimmer United States 44 4.7k 1.7k 1.5k 1.2k 1.0k 257 6.6k
Zhongmin Jin United Kingdom 48 5.0k 1.1× 1.3k 0.8× 812 0.5× 2.3k 1.9× 529 0.5× 318 7.7k
Rainer Bader Germany 35 3.2k 0.7× 2.2k 1.3× 258 0.2× 985 0.8× 828 0.8× 361 6.0k
Christoph H. Lohmann Germany 43 3.7k 0.8× 2.7k 1.6× 952 0.6× 372 0.3× 500 0.5× 192 7.2k
Jorge O. Galante United States 68 11.9k 2.5× 3.8k 2.3× 823 0.6× 836 0.7× 949 0.9× 204 14.9k
Nadim J. Hallab United States 47 5.8k 1.2× 1.9k 1.1× 217 0.1× 914 0.8× 1.3k 1.3× 118 8.2k
Dale R. Sumner United States 51 5.2k 1.1× 3.2k 1.9× 1.5k 1.0× 424 0.4× 622 0.6× 201 8.6k
Murali Jasty United States 60 10.2k 2.2× 1.4k 0.8× 289 0.2× 1.1k 1.0× 386 0.4× 122 11.2k
Seppo Santavirta Finland 53 5.3k 1.1× 1.1k 0.6× 1.3k 0.9× 275 0.2× 402 0.4× 289 9.5k
Nico Verdonschot Netherlands 55 8.2k 1.7× 3.1k 1.8× 399 0.3× 520 0.4× 266 0.3× 450 10.5k
William W. Lu Hong Kong 61 3.8k 0.8× 6.7k 4.0× 1.0k 0.7× 581 0.5× 1.7k 1.6× 313 12.3k

Countries citing papers authored by Markus A. Wimmer

Since Specialization
Citations

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

Fields of papers citing papers by Markus A. Wimmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus A. Wimmer. 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 Markus A. Wimmer. The network helps show where Markus A. Wimmer may publish in the future.

Co-authorship network of co-authors of Markus A. Wimmer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus A. Wimmer. A scholar is included among the top collaborators of Markus A. Wimmer 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 Markus A. Wimmer. Markus A. Wimmer 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.
Bégin, L.R., et al.. (2025). In Vivo Evaluation of Hemiarthroplasty Bearing Materials Using Animal Models: A Scoping Review (Part II). Journal of Orthopaedic Research®. 44(1). e70050–e70050.
2.
Bégin, L.R., et al.. (2025). In Vitro Evaluation of Hemiarthroplasty Bearing Materials: A Scoping Review (Part I). Journal of Orthopaedic Research®. 44(1). e70026–e70026. 1 indexed citations
4.
Fischer, Alfons, et al.. (2024). Performance of Austenitic High-Nitrogen Steels under Gross Slip Fretting Corrosion in Bovine Serum. Journal of Functional Biomaterials. 15(4). 110–110. 1 indexed citations
5.
Wimmer, Markus A., et al.. (2024). Titanium Nitride Coatings on CoCrMo and Ti6Al4V Alloys: Effects on Wear and Ion Release. Lubricants. 12(3). 96–96. 6 indexed citations
6.
Katsaros, Konstantinos V., Edoardo Bonetto, Giada Landi, et al.. (2024). Development & Reliable Orchestration of Network Applications for the Automotive Domain Across the Edge-to-Cloud Continuum. 1055–1060. 1 indexed citations
7.
Fischer, Alfons, Philippe Télouk, & Markus A. Wimmer. (2023). The gross slip fretting corrosion mechanisms of biomedical ceramic-metal couples. Biotribology. 35-36. 100252–100252. 5 indexed citations
8.
Fischer, Alfons, et al.. (2023). Topography rules the ultra-mild wear regime under boundary lubricated gross-slip fretting corrosion. Wear. 522. 204716–204716. 6 indexed citations
10.
Markovics, Adrienn, John L. Hamilton, Roberto Chiesa, et al.. (2023). Electrophoretic deposition of gentamicin and chitosan into titanium nanotubes to target periprosthetic joint infection. Journal of Biomedical Materials Research Part B Applied Biomaterials. 111(9). 1697–1704. 2 indexed citations
11.
Anderson, Kyle, Christian F. Beckmann, Frank C. Ko, et al.. (2023). Zucker Diabetic‐Sprague Dawley Rats Have Impaired Peri‐Implant Bone Formation, Matrix Composition, and Implant Fixation Strength. JBMR Plus. 7(11). e10819–e10819. 1 indexed citations
12.
Anderson, Kyle, Frank C. Ko, Amarjit S. Virdi, et al.. (2021). The relative contribution of bone microarchitecture and matrix composition to implant fixation strength in rats. Journal of Orthopaedic Research®. 40(4). 862–870. 3 indexed citations
13.
Nečas, David, Martin Vrbka, Max Marian, et al.. (2021). Towards the understanding of lubrication mechanisms in total knee replacements – Part I: Experimental investigations. Tribology International. 156. 106874–106874. 25 indexed citations
14.
Johnstone, Brian, et al.. (2021). Surface topography as a tool to detect early changes in a posttraumatic equine model of osteoarthritis. Journal of Orthopaedic Research®. 40(6). 1349–1357. 1 indexed citations
15.
Marian, Max, Benedict Rothammer, David Nečas, et al.. (2020). Towards the understanding of lubrication mechanisms in total knee replacements – Part II: Numerical modeling. Tribology International. 156. 106809–106809. 31 indexed citations
16.
Sandy, John D., et al.. (2015). Human genome-wide expression analysis reorients the study of inflammatory mediators and biomechanics in osteoarthritis. Osteoarthritis and Cartilage. 23(11). 1939–1945. 41 indexed citations
17.
Pourzal, Robin, Elizabeth J. Martin, Shilpi Vajpayee, et al.. (2014). Investigation of the role of tribofilms in self-mating CoCrMo systems utilizing a quartz crystal microtribometer. Tribology International. 72. 161–171. 14 indexed citations
18.
Wimmer, Markus A., et al.. (2013). Clinical TKA Wear Rates and Their Association With Gait Parameters. Journal of Bone and Joint Surgery-british Volume. 587–587. 1 indexed citations
19.
Wimmer, Markus A., K.C. Moisio, Kharma C. Foucher, et al.. (2012). Recovery after minimally invasive total hip arthroplasty: A gait study. 63(2). 101–110. 1 indexed citations
20.
Hakimiyan, Arnavaz, et al.. (2009). Anti-apoptotic treatments prevent cartilage degradation after acute trauma to human ankle cartilage. Osteoarthritis and Cartilage. 17(9). 1244–1251. 53 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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