Markus Neubauer

1.3k citations
37 papers · 836 · h-index 14

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Knee injuries and reconstruction techniques 7
    • Total Knee Arthroplasty Outcomes 6
    • Tissue Engineering and Regenerative Medicine 3
    • Mesenchymal stem cell research 10

Markus Neubauer

34 papers receiving 816 citations

Peers

Markus Neubauer
Comparison fields: 5 of 86
  • Genetics 402
  • Biomaterials 246
  • Urology 73
  • Surgery 341
  • Health Informatics 10
Replace Koji Kanayama with:
Koji Kanayama Japan
Mahmood S. Choudhery Pakistan
Phuong Thi-Bich Le Vietnam
Jozef Bartunek Belgium
Xiubo Fan Singapore
Christina McKee United States
David Lickorish Canada
Xiuqun Li China
Xizhe Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Markus Neubauer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Neubauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Neubauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Neubauer Line = papers co-authored together Markus Neubauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013176
2 2005101
3 200490
4 200486
5 201459
6 200451
7 201548
8 200335
9 202129
10 200728
11 201920
12 202117
13 202315
14 200815
15 20249
16 20246
17 20176
18 20216
19 20186
20 20235

About Markus Neubauer

Markus Neubauer is a scholar working on Surgery, Genetics, Rheumatology, Orthopedics and Sports Medicine and Molecular Biology, having authored 37 papers that have together received 836 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Osteoarthritis Treatment and Mechanisms (9 papers), Knee injuries and reconstruction techniques (7 papers), Total Knee Arthroplasty Outcomes (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Periodontal Regeneration and Treatments (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Genetics (402 citations), Biomaterials (246 citations), Urology (73 citations), Surgery (341 citations) and Health Informatics (10 citations). Markus Neubauer has collaborated with scholars based in Austria, Germany and Hungary. Frequent co-authors include Torsten Blunk, Michael C. Hacker, Claudia Fischbach, Michaela Schulz‐Siegmund, Achim Göpferich, Barbara Weiser, Achim Goepferich, Petra Bauer‐Kreisel, Ralf Huss and Stefan Nehrer. Their work appears in journals such as Journal of Clinical Medicine, Tissue Engineering, Cancers, Biomaterials and Scientific Reports.

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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