Peter E. Müller

10.1k total citations · 2 hit papers
264 papers, 7.1k citations indexed

About

Peter E. Müller is a scholar working on Surgery, Rheumatology and Epidemiology. According to data from OpenAlex, Peter E. Müller has authored 264 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Surgery, 49 papers in Rheumatology and 41 papers in Epidemiology. Recurrent topics in Peter E. Müller's work include Total Knee Arthroplasty Outcomes (84 papers), Orthopaedic implants and arthroplasty (65 papers) and Knee injuries and reconstruction techniques (55 papers). Peter E. Müller is often cited by papers focused on Total Knee Arthroplasty Outcomes (84 papers), Orthopaedic implants and arthroplasty (65 papers) and Knee injuries and reconstruction techniques (55 papers). Peter E. Müller collaborates with scholars based in Germany, United States and Austria. Peter E. Müller's co-authors include Volkmar Jansson, Matthias F. Pietschmann, Günter Schlimok, Gert Riethmüller, Thomas R. Niethammer, Jürgen Tomas, Christian Schröder, Patrick Weber, Andreas Ficklscherer and Mehmet F. Güleçyüz and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Peter E. Müller

250 papers receiving 6.9k citations

Hit Papers

Aggressive conventional chemotherapy compared with high-d... 2000 2026 2008 2017 2002 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter E. Müller Germany 40 3.3k 1.6k 1.1k 831 814 264 7.1k
Atsumasa Uchida Japan 45 2.1k 0.6× 1.2k 0.8× 740 0.7× 1.5k 1.8× 546 0.7× 239 6.8k
Luc Sensebé France 45 2.9k 0.9× 1.3k 0.8× 431 0.4× 695 0.8× 740 0.9× 131 8.7k
Francesco Dazzi United Kingdom 57 2.0k 0.6× 2.2k 1.3× 497 0.5× 1.0k 1.3× 891 1.1× 173 11.0k
Bruno D. Fornage United States 43 3.1k 0.9× 1.3k 0.8× 2.4k 2.3× 521 0.6× 2.2k 2.6× 152 7.4k
J. R. Levick United Kingdom 43 2.0k 0.6× 2.3k 1.4× 391 0.4× 956 1.2× 349 0.4× 130 5.9k
Andrew C.W. Zannettino Australia 61 2.5k 0.8× 2.9k 1.8× 878 0.8× 1.4k 1.7× 1.2k 1.5× 249 13.3k
Lester E. Wold United States 49 1.9k 0.6× 1.6k 1.0× 888 0.8× 2.0k 2.4× 872 1.1× 145 6.5k
Robert A. Brown United Kingdom 50 2.6k 0.8× 862 0.5× 624 0.6× 650 0.8× 916 1.1× 196 11.3k
Katsuro Tomita Japan 53 6.4k 1.9× 1.2k 0.7× 3.7k 3.5× 1.5k 1.8× 371 0.5× 285 10.3k
W. Mutschler Germany 50 4.6k 1.4× 595 0.4× 432 0.4× 573 0.7× 391 0.5× 349 8.9k

Countries citing papers authored by Peter E. Müller

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter E. Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Peter E. Müller. A scholar is included among the top collaborators of Peter E. Müller 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 Peter E. Müller. Peter E. Müller 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
4.
Niethammer, Thomas R., et al.. (2025). Improved quadriceps efficiency with a medial pivot in comparison to a cruciate‐retaining design in total knee arthroplasty. Knee Surgery Sports Traumatology Arthroscopy. 33(7). 2527–2536. 2 indexed citations
6.
Grifka, Joachim, et al.. (2024). Kinematic Patterns of Different Loading Profiles Before and After Total Knee Arthroplasty: A Cadaveric Study. Bioengineering. 11(11). 1064–1064. 1 indexed citations
7.
Denard, Patrick J., Patric Raiss, Coen A. Wijdicks, et al.. (2024). Machine learning models can define clinically relevant bone density subgroups based on patient-specific calibrated computed tomography scans in patients undergoing reverse shoulder arthroplasty. Journal of Shoulder and Elbow Surgery. 34(3). e141–e151. 4 indexed citations
8.
Steinbrück, Arnd, Christian Schröder, Matthias Woiczinski, et al.. (2017). Mediolateral femoral component position in TKA significantly alters patella shift and femoral roll-back. Knee Surgery Sports Traumatology Arthroscopy. 25(11). 3561–3568. 19 indexed citations
9.
Weber, Patrick, Christian Schröder, Jens Schwiesau, et al.. (2015). Increase in the Tibial Slope Reduces Wear after Medial Unicompartmental Fixed-Bearing Arthroplasty of the Knee. BioMed Research International. 2015. 1–7. 15 indexed citations
10.
Niethammer, Thomas R., et al.. (2015). Revision surgery after third generation autologous chondrocyte implantation in the knee. International Orthopaedics. 39(8). 1615–1622. 23 indexed citations
11.
Grupp, Thomas M., et al.. (2013). Primary stability of unicompartmental knee arthroplasty under dynamic compression-shear loading in human tibiae. Clinical Biomechanics. 28(9-10). 1006–1013. 14 indexed citations
12.
Ficklscherer, Andreas, Bernd Wegener, Thomas R. Niethammer, et al.. (2013). Thermoelastic stress analysis to validate tibial fixation technique in total ankle prostheses - a pilot study.. Turkish Journal of Trauma and Emergency Surgery. 19(2). 98–102. 3 indexed citations
13.
Betz, Oliver B., Volker M. Betz, Rainer Penzkofer, et al.. (2009). The Repair of Critical-Sized Bone Defects Using Expedited, Autologous BMP-2 Gene-Activated Fat Implants. Tissue Engineering Part A. 16(3). 1093–1101. 40 indexed citations
14.
Betz, Oliver B., Volker M. Betz, Rainer Penzkofer, et al.. (2009). The Repair of Critical Size Bone Defects using Expedited, Autologous BMP-2 Gene Activated Fat Implants. Tissue Engineering Part A. 2881044212–2881044212. 2 indexed citations
15.
Mayer‐Wagner, Susanne, Tobias S. Schiergens, Birte Sievers, et al.. (2009). Membrane-Based Cultures Generate Scaffold-Free Neocartilage In Vitro : Influence of Growth Factors. Tissue Engineering Part A. 16(2). 513–521. 21 indexed citations
16.
Schmidt‐Kittler, Oleg, Thomas Ragg, Martin Granzow, et al.. (2003). From latent disseminated cells to overt metastasis: Genetic analysis of systemic breast cancer progression. Proceedings of the National Academy of Sciences. 100(13). 7737–7742. 493 indexed citations
17.
Dürr, Hans Roland, Bernd Wegener, A. Krödel, et al.. (2002). Multiple Myeloma: Surgery of the Spine. Spine. 27(3). 320–325. 46 indexed citations
19.
Wanner, Guido A., Peter E. Müller, Wolfgang Ertel, et al.. (1998). Differential effect of cyclooxygenase metabolites on proinflammatory cytokine release by kupffer cells after liver ischemia and reperfusion. The American Journal of Surgery. 175(2). 146–151. 28 indexed citations
20.
Müller, Peter E., Dorothea Weckermann, Gert Riethmüller, & Günter Schlimok. (1996). Detection of genetic alterations in micrometastatic cells in bone marrow of cancer patients by fluorescence in situ hybridization. Cancer Genetics and Cytogenetics. 88(1). 8–16. 61 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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