G. Bottura

50 total papers · 599 total citations
32 papers, 456 citations indexed

About

G. Bottura is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, G. Bottura has authored 32 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Electrical and Electronic Engineering and 5 papers in Organic Chemistry. Recurrent topics in G. Bottura's work include Electrochemical Analysis and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Molecular Junctions and Nanostructures (4 papers). G. Bottura is often cited by papers focused on Electrochemical Analysis and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Molecular Junctions and Nanostructures (4 papers). G. Bottura collaborates with scholars based in Italy, United Kingdom and Canada. G. Bottura's co-authors include Paola Taddei, G. Fini, Vitaliano Tugnoli, M. R. Tosi, Anna Tinti, C. Sorlini, Marco Marchetti, Giancarlo Ranalli, Andrea Trinchero and G.C. Barker and has published in prestigious journals such as The Science of The Total Environment, Biopolymers and Lung Cancer.

In The Last Decade

G. Bottura

32 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
G. Bottura 103 79 48 46 45 32 456
B.L. Thomas 106 1.0× 33 0.4× 40 0.8× 24 0.5× 93 2.1× 23 426
Man Shi 161 1.6× 83 1.1× 133 2.8× 13 0.3× 27 0.6× 46 549
Hongzhi He 146 1.4× 28 0.4× 102 2.1× 17 0.4× 49 1.1× 29 536
Evangelos Giannakopoulos 25 0.2× 11 0.1× 71 1.5× 44 1.0× 31 0.7× 29 503
Yang Shao 100 1.0× 78 1.0× 136 2.8× 11 0.2× 12 0.3× 32 503
G.S. McNaughton 104 1.0× 29 0.4× 163 3.4× 11 0.2× 24 0.5× 20 534
Mirjana Marković 42 0.4× 14 0.2× 62 1.3× 9 0.2× 62 1.4× 39 422
Xiaojing Liu 127 1.2× 16 0.2× 33 0.7× 4 0.1× 48 1.1× 22 423
Lingyu Wang 115 1.1× 12 0.2× 42 0.9× 19 0.4× 160 3.6× 40 431
Cheng Tang 157 1.5× 58 0.7× 84 1.8× 6 0.1× 53 1.2× 26 433

Countries citing papers authored by G. Bottura

Since Specialization
Citations

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

Fields of papers citing papers by G. Bottura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Bottura

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