Daniele Padovan

26 total papers · 621 total citations
19 papers, 515 citations indexed

About

Daniele Padovan is a scholar working on Biomedical Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Daniele Padovan has authored 19 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 10 papers in Materials Chemistry and 5 papers in Organic Chemistry. Recurrent topics in Daniele Padovan's work include Catalysis for Biomass Conversion (15 papers), Mesoporous Materials and Catalysis (7 papers) and Catalytic Processes in Materials Science (5 papers). Daniele Padovan is often cited by papers focused on Catalysis for Biomass Conversion (15 papers), Mesoporous Materials and Catalysis (7 papers) and Catalytic Processes in Materials Science (5 papers). Daniele Padovan collaborates with scholars based in United Kingdom, Japan and Denmark. Daniele Padovan's co-authors include Ceri Hammond, Abbas Al‐Nayili, Atsushi Fukuoka, Hirokazu Kobayashi, Emma K. Gibson, Peter P. Wells, Nikolaos Dimitratos, Juan S. Martinez‐Espin, Søren Tolborg and Esben Taarning and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Catalysis.

In The Last Decade

Daniele Padovan

18 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Padovan 351 233 161 115 93 19 515
María Dolores González 358 1.0× 221 0.9× 179 1.1× 226 2.0× 84 0.9× 18 566
Abdullah M. Alhanash 423 1.2× 304 1.3× 87 0.5× 244 2.1× 60 0.6× 23 612
Alain Perrard 302 0.9× 276 1.2× 77 0.5× 125 1.1× 104 1.1× 18 611
Sviatlana Siankevich 393 1.1× 206 0.9× 62 0.4× 147 1.3× 179 1.9× 14 551
Zhengfeng Shao 230 0.7× 275 1.2× 132 0.8× 189 1.6× 140 1.5× 15 510
Gyula Novodárszki 346 1.0× 147 0.6× 118 0.7× 179 1.6× 82 0.9× 28 455
Nicholas S. Gould 318 0.9× 237 1.0× 244 1.5× 194 1.7× 100 1.1× 12 556
María H. Brijaldo 238 0.7× 193 0.8× 82 0.5× 147 1.3× 147 1.6× 29 449
Paramita Koley 323 0.9× 220 0.9× 124 0.8× 237 2.1× 142 1.5× 19 571
Pavlo Kostetskyy 277 0.8× 191 0.8× 185 1.1× 133 1.2× 79 0.8× 20 516

Countries citing papers authored by Daniele Padovan

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Padovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Padovan

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