Úrsula Hopfner

70 total papers · 2.4k total citations
50 papers, 2.0k citations indexed

About

Úrsula Hopfner is a scholar working on Surgery, Molecular Biology and Biomaterials. According to data from OpenAlex, Úrsula Hopfner has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 14 papers in Molecular Biology and 14 papers in Biomaterials. Recurrent topics in Úrsula Hopfner's work include Electrospun Nanofibers in Biomedical Applications (14 papers), Tissue Engineering and Regenerative Medicine (12 papers) and Mesenchymal stem cell research (12 papers). Úrsula Hopfner is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (14 papers), Tissue Engineering and Regenerative Medicine (12 papers) and Mesenchymal stem cell research (12 papers). Úrsula Hopfner collaborates with scholars based in Germany, Chile and United States. Úrsula Hopfner's co-authors include Günter K. Stalla, José Tomás Egaña, Erich Wintermantel, Hans‐Günther Machens, Eduardo Arzt, Myra N. Chávez, Marcelo Páez-Pereda, Uberto Pagotto, Jörg Nickelsen and Joachim Aigner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Úrsula Hopfner

50 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Úrsula Hopfner 562 447 420 407 359 50 2.0k
Roy Tarnuzzer 684 1.2× 265 0.6× 236 0.6× 371 0.9× 172 0.5× 35 2.9k
José Tomás Egaña 512 0.9× 497 1.1× 64 0.2× 301 0.7× 323 0.9× 58 1.6k
Andréa Gonçalves Trentin 747 1.3× 144 0.3× 328 0.8× 237 0.6× 235 0.7× 78 2.5k
Jingjing Ye 1.2k 2.2× 659 1.5× 80 0.2× 260 0.6× 356 1.0× 126 2.9k
Zhenbing Chen 983 1.7× 480 1.1× 230 0.5× 295 0.7× 609 1.7× 80 2.6k
Cuiping Zhang 919 1.6× 293 0.7× 125 0.3× 175 0.4× 266 0.7× 118 2.4k
Anna Blocki 537 1.0× 713 1.6× 72 0.2× 559 1.4× 595 1.7× 39 2.3k
Agnieszka Śmieszek 553 1.0× 443 1.0× 63 0.1× 318 0.8× 226 0.6× 64 1.7k
Paolo Di Nardo 896 1.6× 710 1.6× 53 0.1× 706 1.7× 644 1.8× 99 3.1k
Dongsheng Jiang 644 1.1× 211 0.5× 159 0.4× 343 0.8× 291 0.8× 82 2.6k

Countries citing papers authored by Úrsula Hopfner

Since Specialization
Citations

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

Fields of papers citing papers by Úrsula Hopfner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Úrsula Hopfner

This figure shows the co-authorship network connecting the top 25 collaborators of Úrsula Hopfner. A scholar is included among the top collaborators of Úrsula Hopfner 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 Úrsula Hopfner. Úrsula Hopfner 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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2026