Ursula Graf‐Hausner

77 total papers · 1.6k total citations
21 papers, 1.2k citations indexed

About

Ursula Graf‐Hausner is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Ursula Graf‐Hausner has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 9 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Ursula Graf‐Hausner's work include 3D Printing in Biomedical Research (9 papers), Orthopaedic implants and arthroplasty (4 papers) and Bone Tissue Engineering Materials (4 papers). Ursula Graf‐Hausner is often cited by papers focused on 3D Printing in Biomedical Research (9 papers), Orthopaedic implants and arthroplasty (4 papers) and Bone Tissue Engineering Materials (4 papers). Ursula Graf‐Hausner collaborates with scholars based in Switzerland, United States and Mexico. Ursula Graf‐Hausner's co-authors include Markus Rimann, Stephanie Mathes, Heinz Ruffner, Lorenz Uebersax, Christoph Görlach, Daniel S. Thoma, Ronald E. Jung, Sandra Laternser, Epifania Bono and Philipp Christen and has published in prestigious journals such as Journal of Biological Chemistry, Advanced Drug Delivery Reviews and Current Opinion in Biotechnology.

In The Last Decade

Ursula Graf‐Hausner

21 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ursula Graf‐Hausner 608 231 214 210 204 21 1.2k
Ysia Idoux‐Gillet 639 1.1× 150 0.6× 220 1.0× 265 1.3× 171 0.8× 24 1.1k
Vincent M.J.I. Cuijpers 626 1.0× 227 1.0× 220 1.0× 320 1.5× 172 0.8× 35 1.3k
Kamal Mustafa 761 1.3× 267 1.2× 311 1.5× 319 1.5× 252 1.2× 57 1.5k
Marina Rubert 1.0k 1.7× 176 0.8× 210 1.0× 303 1.4× 91 0.4× 42 1.5k
Johanna Bolander 899 1.5× 239 1.0× 141 0.7× 344 1.6× 166 0.8× 18 1.3k
Joanna M. Sadowska 723 1.2× 138 0.6× 162 0.8× 219 1.0× 70 0.3× 26 948
Aiah A. El‐Rashidy 636 1.0× 156 0.7× 230 1.1× 238 1.1× 119 0.6× 16 1.1k
Xu Cui 1.1k 1.7× 140 0.6× 252 1.2× 360 1.7× 85 0.4× 34 1.4k
Maolin Zhang 558 0.9× 239 1.0× 145 0.7× 314 1.5× 124 0.6× 41 1.1k
Xiaoman Luo 679 1.1× 171 0.7× 173 0.8× 236 1.1× 66 0.3× 35 989

Countries citing papers authored by Ursula Graf‐Hausner

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Graf‐Hausner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula Graf‐Hausner. 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 Ursula Graf‐Hausner. The network helps show where Ursula Graf‐Hausner may publish in the future.

Co-authorship network of co-authors of Ursula Graf‐Hausner

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

All Works

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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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