Francesco D’Acierno

23 total papers · 637 total citations
17 papers, 485 citations indexed

About

Francesco D’Acierno is a scholar working on Biomaterials, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Francesco D’Acierno has authored 17 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomaterials, 8 papers in Biomedical Engineering and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Francesco D’Acierno's work include Advanced Cellulose Research Studies (11 papers), Lignin and Wood Chemistry (7 papers) and Nanocomposite Films for Food Packaging (6 papers). Francesco D’Acierno is often cited by papers focused on Advanced Cellulose Research Studies (11 papers), Lignin and Wood Chemistry (7 papers) and Nanocomposite Films for Food Packaging (6 papers). Francesco D’Acierno collaborates with scholars based in Canada, Japan and France. Francesco D’Acierno's co-authors include Carl A. Michal, Mark J. MacLachlan, Wadood Y. Hamad, Thanh‐Dinh Nguyen, Pei‐Xi Wang, Yuanyuan Cao, Isabelle Capron, Oriana M. Vanderfleet, Emily D. Cranston and Akira Isogai and has published in prestigious journals such as Chemical Reviews, Advanced Materials and Chemistry of Materials.

In The Last Decade

Francesco D’Acierno

17 papers receiving 481 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco D’Acierno 303 145 90 72 70 17 485
Matthieu Fumagalli 245 0.8× 115 0.8× 62 0.7× 48 0.7× 40 0.6× 18 439
Anurodh Tripathi 302 1.0× 153 1.1× 67 0.7× 108 1.5× 62 0.9× 15 497
Chi Hoong Chan 334 1.1× 154 1.1× 52 0.6× 72 1.0× 42 0.6× 12 487
Siham Atifi 259 0.9× 98 0.7× 99 1.1× 71 1.0× 53 0.8× 10 442
Zhaodong Zhu 211 0.7× 238 1.6× 74 0.8× 62 0.9× 30 0.4× 12 522
Carole Cerclier 200 0.7× 113 0.8× 109 1.2× 97 1.3× 136 1.9× 19 464
Hugo Voisin 349 1.2× 108 0.7× 37 0.4× 97 1.3× 35 0.5× 16 494
Takehiko Uematsu 294 1.0× 105 0.7× 30 0.3× 76 1.1× 80 1.1× 10 479
Reina Araceli Mauricio-Sánchez 187 0.6× 92 0.6× 37 0.4× 61 0.8× 47 0.7× 17 420
Muhammad Mushtaq 235 0.8× 120 0.8× 63 0.7× 127 1.8× 28 0.4× 17 453

Countries citing papers authored by Francesco D’Acierno

Since Specialization
Citations

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

Fields of papers citing papers by Francesco D’Acierno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco D’Acierno. 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 Francesco D’Acierno. The network helps show where Francesco D’Acierno may publish in the future.

Co-authorship network of co-authors of Francesco D’Acierno

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco D’Acierno. A scholar is included among the top collaborators of Francesco D’Acierno 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 Francesco D’Acierno. Francesco D’Acierno 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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