Elena Cambria

25 total papers · 628 total citations
16 papers, 409 citations indexed

About

Elena Cambria is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Elena Cambria has authored 16 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Biomedical Engineering. Recurrent topics in Elena Cambria's work include Musculoskeletal pain and rehabilitation (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and 3D Printing in Biomedical Research (3 papers). Elena Cambria is often cited by papers focused on Musculoskeletal pain and rehabilitation (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and 3D Printing in Biomedical Research (3 papers). Elena Cambria collaborates with scholars based in United States, Switzerland and Austria. Elena Cambria's co-authors include Karin Wuertz‐Kozak, Julia Steiger, Maximilian Y. Emmert, Petra Wolint, Simon P. Hoerstrup, Stephen J. Ferguson, Giovanni S. Offeddu, Sarah E. Shelton, Roger D. Kamm and Wolfgang Hitzl and has published in prestigious journals such as Nature reviews. Cancer, Advanced Functional Materials and International Journal of Molecular Sciences.

In The Last Decade

Elena Cambria

14 papers receiving 405 citations

Hit Papers

Linking cell mechanical m... 2024 2026 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Elena Cambria 126 121 118 79 69 16 409
Xiang Ao 155 1.2× 99 0.8× 128 1.1× 82 1.0× 51 0.7× 24 491
Zengwu Shao 133 1.1× 86 0.7× 77 0.7× 165 2.1× 121 1.8× 21 467
Yunqiang Xu 100 0.8× 158 1.3× 94 0.8× 105 1.3× 39 0.6× 23 434
Huajian Shan 210 1.7× 59 0.5× 121 1.0× 60 0.8× 56 0.8× 23 476
Eugene Yong-Shun See 78 0.6× 128 1.1× 67 0.6× 202 2.6× 138 2.0× 10 392
Weihong Yi 151 1.2× 117 1.0× 89 0.8× 89 1.1× 29 0.4× 16 466
Hongtao Sun 202 1.6× 82 0.7× 74 0.6× 50 0.6× 63 0.9× 26 491
Ping Zhang 152 1.2× 81 0.7× 76 0.6× 40 0.5× 66 1.0× 23 450
Tõnu Rätsep 107 0.8× 37 0.3× 77 0.7× 95 1.2× 43 0.6× 21 458
Sujun Qiu 92 0.7× 111 0.9× 47 0.4× 152 1.9× 87 1.3× 25 385

Countries citing papers authored by Elena Cambria

Since Specialization
Citations

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

Fields of papers citing papers by Elena Cambria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Cambria

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026