Barbara Schädl

43 total papers · 556 total citations
27 papers, 374 citations indexed

About

Barbara Schädl is a scholar working on Surgery, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Barbara Schädl has authored 27 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Biomedical Engineering and 6 papers in Molecular Biology. Recurrent topics in Barbara Schädl's work include 3D Printing in Biomedical Research (5 papers), Periodontal Regeneration and Treatments (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Barbara Schädl is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Periodontal Regeneration and Treatments (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Barbara Schädl collaborates with scholars based in Austria, Germany and United States. Barbara Schädl's co-authors include Sylvia Nürnberger, Heinz Redl, Peter Ertl, Andreas Teuschl, Johannes Grillari, Barbara Bachmann, Sarah Spitz, Hermann Agis, Klara Janjić and Peter Dungel and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The American Journal of Sports Medicine.

In The Last Decade

Barbara Schädl

26 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
Barbara Schädl	181	93	85	76	52	27	374
Hongwei Ouyang	178 1.0×	83 0.9×	78 0.9×	70 0.9×	100 1.9×	15	389
Pengcheng Xiao	136 0.8×	57 0.6×	119 1.4×	79 1.0×	100 1.9×	26	441
Liangbin Zhou	179 1.0×	91 1.0×	121 1.4×	81 1.1×	52 1.0×	19	359
Xiaoyun Wang	102 0.6×	86 0.9×	104 1.2×	92 1.2×	61 1.2×	29	385
Martina Contran	102 0.6×	105 1.1×	80 0.9×	139 1.8×	39 0.8×	21	356
Christopher J. Little	141 0.8×	107 1.2×	151 1.8×	116 1.5×	75 1.4×	20	417
Xiaoquan Ding	209 1.2×	113 1.2×	107 1.3×	116 1.5×	66 1.3×	14	426
Daniel Tvrdík	105 0.6×	112 1.2×	61 0.7×	101 1.3×	80 1.5×	25	360
Xiang Yun Yin	134 0.7×	86 0.9×	76 0.9×	98 1.3×	78 1.5×	19	370
Rani Roy	150 0.8×	111 1.2×	104 1.2×	96 1.3×	112 2.2×	11	389

Countries citing papers authored by Barbara Schädl

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Schädl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Schädl

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Schädl. A scholar is included among the top collaborators of Barbara Schädl 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 Barbara Schädl. Barbara Schädl 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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