Patrizia Danieli

13 total papers · 750 total citations
6 papers, 580 citations indexed

About

Patrizia Danieli is a scholar working on Surgery, Genetics and Biomaterials. According to data from OpenAlex, Patrizia Danieli has authored 6 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Genetics and 4 papers in Biomaterials. Recurrent topics in Patrizia Danieli's work include Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Mesenchymal stem cell research (4 papers). Patrizia Danieli is often cited by papers focused on Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Mesenchymal stem cell research (4 papers). Patrizia Danieli collaborates with scholars based in Italy, South Africa and Netherlands. Patrizia Danieli's co-authors include Massimiliano Gnecchi, Maria Chiara Ciuffreda, Giuseppe Malpasso, Elisabetta Cervio, Gianluca Viarengo, Manuela Mura, Francesco Copes, Rudolf A. de Boer, Laura Calvillo and Lennaert Kleijn and has published in prestigious journals such as European Heart Journal, Stem Cells and Stem Cells Translational Medicine.

In The Last Decade

Patrizia Danieli

6 papers receiving 569 citations

Hit Papers

Paracrine Mechanisms of M... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Patrizia Danieli 324 236 233 109 94 6 580
Min-Ji Cha 294 0.9× 250 1.1× 246 1.1× 164 1.5× 115 1.2× 13 618
Mitsuyo Tsuma 358 1.1× 212 0.9× 268 1.2× 107 1.0× 36 0.4× 5 532
Shi Hong Lu 313 1.0× 284 1.2× 250 1.1× 88 0.8× 78 0.8× 13 655
Cheen P. Khoo 216 0.7× 281 1.2× 177 0.8× 75 0.7× 99 1.1× 16 611
Murat Uğurlucan 274 0.8× 248 1.1× 255 1.1× 125 1.1× 69 0.7× 12 622
Jeannette M. Moebius 364 1.1× 234 1.0× 307 1.3× 161 1.5× 45 0.5× 5 549
Paulo Brofman 370 1.1× 204 0.9× 260 1.1× 100 0.9× 37 0.4× 14 549
Marcin Świerkowski 423 1.3× 197 0.8× 177 0.8× 47 0.4× 89 0.9× 8 653
Toktam Bostani 290 0.9× 263 1.1× 285 1.2× 128 1.2× 76 0.8× 4 574
David Zisa 314 1.0× 199 0.8× 271 1.2× 99 0.9× 46 0.5× 11 560

Countries citing papers authored by Patrizia Danieli

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Danieli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Danieli

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