Paola Carbone

150 total papers · 7.7k total citations
103 papers, 6.4k citations indexed

About

Paola Carbone is a scholar working on Materials Chemistry, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Paola Carbone has authored 103 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Materials Chemistry, 26 papers in Organic Chemistry and 22 papers in Biomedical Engineering. Recurrent topics in Paola Carbone's work include Graphene research and applications (21 papers), Block Copolymer Self-Assembly (21 papers) and Material Dynamics and Properties (19 papers). Paola Carbone is often cited by papers focused on Graphene research and applications (21 papers), Block Copolymer Self-Assembly (21 papers) and Material Dynamics and Properties (19 papers). Paola Carbone collaborates with scholars based in United Kingdom, Italy and Germany. Paola Carbone's co-authors include Rahul R. Nair, A. K. Geǐm, Yang Su, I. V. Grigorieva, Rakesh Joshi, Vasyl G. Kravets, Fengchao Wang, HengAn Wu, Florian Müller‐Plathe and Christopher D. Williams and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Paola Carbone

100 papers receiving 6.4k citations

Hit Papers

Precise and Ultrafast Mol... 2014 2026 2018 2022 2014 2017 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Paola Carbone 3.9k 3.2k 2.3k 1.2k 727 103 6.4k
Rob G. H. Lammertink 1.7k 0.4× 3.5k 1.1× 1.8k 0.8× 2.3k 1.9× 780 1.1× 184 7.0k
Yifu Ding 1.8k 0.5× 2.2k 0.7× 1.1k 0.5× 870 0.7× 587 0.8× 128 5.2k
Rakesh Joshi 4.9k 1.3× 4.3k 1.4× 2.3k 1.0× 2.6k 2.2× 290 0.4× 162 8.3k
Wenxiong Shi 3.4k 0.9× 2.1k 0.7× 879 0.4× 1.6k 1.3× 981 1.3× 160 6.9k
Bruce J. Hinds 2.9k 0.7× 3.6k 1.1× 1.3k 0.6× 1.5k 1.2× 242 0.3× 102 5.7k
Tamás Szabó 4.1k 1.1× 2.7k 0.9× 670 0.3× 1.7k 1.4× 456 0.6× 83 6.0k
Nitin Chopra 3.3k 0.8× 3.3k 1.1× 1.1k 0.5× 1.3k 1.0× 168 0.2× 86 6.3k
Mainak Majumder 3.9k 1.0× 3.8k 1.2× 1.7k 0.7× 2.8k 2.3× 278 0.4× 107 8.0k
Merlin L. Bruening 2.2k 0.6× 4.0k 1.3× 2.8k 1.2× 3.4k 2.8× 1.9k 2.7× 176 11.0k
João T. Cabral 1.7k 0.4× 2.1k 0.7× 486 0.2× 1.8k 1.5× 1.0k 1.4× 148 5.3k

Countries citing papers authored by Paola Carbone

Since Specialization
Citations

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

Fields of papers citing papers by Paola Carbone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Carbone

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