Susan Bortolotto

18 total papers · 895 total citations
12 papers, 713 citations indexed

About

Susan Bortolotto is a scholar working on Surgery, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Susan Bortolotto has authored 12 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Susan Bortolotto's work include Tissue Engineering and Regenerative Medicine (4 papers), Muscle Physiology and Disorders (4 papers) and Muscle activation and electromyography studies (3 papers). Susan Bortolotto is often cited by papers focused on Tissue Engineering and Regenerative Medicine (4 papers), Muscle Physiology and Disorders (4 papers) and Muscle activation and electromyography studies (3 papers). Susan Bortolotto collaborates with scholars based in Australia, Italy and Switzerland. Susan Bortolotto's co-authors include D. George Stephenson, Gabriela M. M. Stephenson, Carlo Reggiani, Wayne A. Morrison, Aurora Messina, Xiaolian Han, Andrew N. Morritt, Éric Fontaine, Romeo Betto and William Irwin and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The FASEB Journal.

In The Last Decade

Susan Bortolotto

12 papers receiving 704 citations

Author Peers

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

Author						Papers	Cites
Susan Bortolotto	280	269	180	148	139	12	713
Patricia Karlisch	450 1.6×	250 0.9×	117 0.7×	94 0.6×	235 1.7×	8	739
Chad D. Markert	406 1.4×	224 0.8×	75 0.4×	110 0.7×	168 1.2×	24	778
Farshad Babaeijandaghi	482 1.7×	260 1.0×	164 0.9×	163 1.1×	156 1.1×	11	855
Shama R. Iyer	407 1.5×	232 0.9×	103 0.6×	130 0.9×	158 1.1×	33	715
Darren J. Player	351 1.3×	196 0.7×	84 0.5×	102 0.7×	311 2.2×	37	735
Akshay Bareja	485 1.7×	201 0.7×	83 0.5×	212 1.4×	61 0.4×	21	786
Charles J. Roberge	190 0.7×	131 0.5×	110 0.6×	65 0.4×	98 0.7×	18	700
Rajeswari Pichika	190 0.7×	282 1.0×	73 0.4×	91 0.6×	79 0.6×	26	870
Jacqueline Larouche	313 1.1×	147 0.5×	129 0.7×	94 0.6×	115 0.8×	15	820
Anna Maria Sacco	156 0.6×	238 0.9×	142 0.8×	101 0.7×	113 0.8×	37	656

Countries citing papers authored by Susan Bortolotto

Since Specialization

Citations

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

Fields of papers citing papers by Susan Bortolotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Bortolotto

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