‪Cátia S.D. Cabral

17 total papers · 1.4k total citations
13 papers, 1.1k citations indexed

About

‪Cátia S.D. Cabral is a scholar working on Biomaterials, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, ‪Cátia S.D. Cabral has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 6 papers in Biomedical Engineering and 5 papers in Rehabilitation. Recurrent topics in ‪Cátia S.D. Cabral's work include Electrospun Nanofibers in Biomedical Applications (5 papers), Bone Tissue Engineering Materials (5 papers) and Wound Healing and Treatments (5 papers) ‪Cátia S.D. Cabral is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (5 papers), Bone Tissue Engineering Materials (5 papers) and Wound Healing and Treatments (5 papers) ‪Cátia S.D. Cabral collaborates with scholars based in Portugal, Brazil and China ‪Cátia S.D. Cabral's co-authors include Ilídio J. Correia, Sónia P. Miguel, André F. Moreira, Paula Ferreira, António Mendonça, Duarte de Melo‐Diogo, P. Louro, Cátia G. Alves, Rita Lima‐Sousa and Patrícia Alves and has published in prestigious journals such as Carbon, Journal of Controlled Release and Carbohydrate Polymers.

In The Last Decade

‪Cátia S.D. Cabral

12 papers receiving 1.1k citations

Hit Papers

Hyaluronic acid—Based wou... 2020 2026 2022 2024 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
‪Cátia S.D. Cabral 600 482 389 141 119 13 1.1k
Annapoorna Mohandas 545 0.9× 376 0.8× 303 0.8× 118 0.8× 157 1.3× 13 1.0k
Dan Zhang 448 0.7× 381 0.8× 245 0.6× 181 1.3× 161 1.4× 24 994
Yong Lan 852 1.4× 540 1.1× 410 1.1× 166 1.2× 129 1.1× 32 1.4k
Shen Guo 460 0.8× 443 0.9× 225 0.6× 194 1.4× 154 1.3× 10 927
Alap Ali Zahid 598 1.0× 480 1.0× 504 1.3× 136 1.0× 78 0.7× 32 1.3k
Nathan P. Birch 576 1.0× 217 0.5× 359 0.9× 104 0.7× 88 0.7× 8 958
Shima Tavakoli 498 0.8× 471 1.0× 414 1.1× 145 1.0× 240 2.0× 17 1.3k
Shuai Liu 453 0.8× 315 0.7× 450 1.2× 188 1.3× 167 1.4× 31 1.2k
Endian Wang 433 0.7× 497 1.0× 514 1.3× 161 1.1× 75 0.6× 20 1.2k
Yuanmeng He 530 0.9× 530 1.1× 244 0.6× 195 1.4× 176 1.5× 19 999

Countries citing papers authored by ‪Cátia S.D. Cabral

Since Specialization
Citations

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

Fields of papers citing papers by ‪Cátia S.D. Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by ‪Cátia S.D. Cabral. 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 ‪Cátia S.D. Cabral. The network helps show where ‪Cátia S.D. Cabral may publish in the future.

Co-authorship network of co-authors of ‪Cátia S.D. Cabral

This figure shows the co-authorship network connecting the top 25 collaborators of ‪Cátia S.D. Cabral. A scholar is included among the top collaborators of ‪Cátia S.D. Cabral 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 ‪Cátia S.D. Cabral. ‪Cátia S.D. Cabral 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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