Massimo Bottini

5.4k citations
99 papers · 4.5k · h-index 34

Impact in

Papers in

    • Bone and Dental Protein Studies 7
    • Graphene and Nanomaterials Applications 13
    • Nanoplatforms for cancer theranostics 12
    • Bone Tissue Engineering Materials 9

Massimo Bottini

99 papers receiving 4.4k citations

Peers

Massimo Bottini
Comparison fields: 5 of 149
  • Biomaterials 723
  • Biomedical Engineering 1.9k
  • Materials Chemistry 1.9k
  • Rheumatology 358
  • Developmental Neuroscience 80
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Bottini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Bottini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Bottini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Bottini Line = papers co-authored together Massimo Bottini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005589
2 2015370
3 2005212
4 2011198
5 2013192
6 2017152
7 2019151
8 2022118
9 2004115
10 2013109
11 200791
12 201383
13 200682
14 201480
15 201880
16 200776
17 201775
18 201875
19 201870
20 201969

About Massimo Bottini

Massimo Bottini is a scholar working on Rheumatology, Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Molecular Biology and Materials Chemistry, having authored 99 papers that have together received 4.5k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (15 papers), Alkaline Phosphatase Research Studies (14 papers), Graphene and Nanomaterials Applications (13 papers), Nanoplatforms for cancer theranostics (12 papers), Bone Tissue Engineering Materials (9 papers), Extracellular vesicles in disease (8 papers), Bone and Dental Protein Studies (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Biomaterials (723 citations), Biomedical Engineering (1.9k citations), Materials Chemistry (1.9k citations), Rheumatology (358 citations) and Developmental Neuroscience (80 citations). Massimo Bottini has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Nunzio Bottini, Andrea Magrini, Tomas Mustelin, Nicola Rosato, Stefano Bellucci, Antonio Bergamaschi, Bengt Fadeel, Marcia I. Dawson, Konstantina Nika and Shane R. Bruckner. Their work appears in journals such as ACS Nano, Journal of Nanoscience and Nanotechnology, International Journal of Molecular Sciences, Nanomedicine Nanotechnology Biology and Medicine and Biomacromolecules.

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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