Massimo Bonini

4.6k total citations
92 papers, 3.8k citations indexed

About

Massimo Bonini is a scholar working on Biomedical Engineering, Biomaterials and Materials Chemistry. According to data from OpenAlex, Massimo Bonini has authored 92 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Biomedical Engineering, 27 papers in Biomaterials and 27 papers in Materials Chemistry. Recurrent topics in Massimo Bonini's work include Surfactants and Colloidal Systems (11 papers), Nanoparticle-Based Drug Delivery (11 papers) and Bone Tissue Engineering Materials (10 papers). Massimo Bonini is often cited by papers focused on Surfactants and Colloidal Systems (11 papers), Nanoparticle-Based Drug Delivery (11 papers) and Bone Tissue Engineering Materials (10 papers). Massimo Bonini collaborates with scholars based in Italy, France and Germany. Massimo Bonini's co-authors include Piero Baglioni, Paolo Samorı́, Carlos‐Andres Palma, Emiliano Fratini, Artur Ciesielski, Pierandrea Lo Nostro, Debora Berti, Francesca Ridi, Simona W. Rossi and Silvia Nappini and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Accounts of Chemical Research.

In The Last Decade

Massimo Bonini

90 papers receiving 3.7k citations

Peers

Massimo Bonini
Comparison fields: 5 of 138
  • Biomedical Engineering 1.8k
  • Materials Chemistry 1.1k
  • Biomaterials 892
  • Organic Chemistry 608
  • Electrical and Electronic Engineering 526
Replace Stefan Heißler with:
Stefan Heißler Germany
Xiaoyu Li China
Enza Fazio Italy
Christopher J. Garvey Australia
Fabien Grasset France
Anne‐Sophie Duwez Belgium
Tuula T. Pakkanen Finland
Munish Chanana Germany
Chien‐Liang Lee Taiwan
Ulla Vainio Germany
Stefan Heißler Germany View profile →
Citations per field, relative to Massimo Bonini
Massimo Bonini · 1×
Citations per year, relative to Massimo Bonini
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Countries citing papers authored by Massimo Bonini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Bonini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Bonini

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 4
4 33
5 6
6 2
7 58
8 22
9 1
10 11
11 30
12 11
13 15
14 44
15 93
16 7
17 51
18
Poly(acrylic) acid-coated Silver Nanoparticles for Antibacterial Textile Finishing
2
19
Self-assembly of beta-cyclodextrin in water. Part 1 : Cryo-TEM and dynamic and
9
20 41

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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