Danielle Carpiné

25 papers receiving 675 citations

Peers

Danielle Carpiné
Comparison fields: 5 of 76
  • Filtration and Separation 49
  • Catalysis 115
  • Biomaterials 212
  • Food Science 169
  • Analytical Chemistry 55
Replace Khang Wei Tan with:
Khang Wei Tan Malaysia
Fernando Dal Pont Morisso Brazil
Carsten Zetzl Germany
Eduarda S. Morais Portugal
Tahmasb Hatami Brazil
Victoria Vorobyova Ukraine
Muhammad Hakimin Shafie Malaysia
Giorgio Grillo Italy
David Lokhat South Africa
Shangde Sun China
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Citations per year

Countries citing papers authored by Danielle Carpiné

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Carpiné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Carpiné, 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 Danielle Carpiné Line = papers co-authored together Danielle Carpiné links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201783
3 201576
4 201862
5 201554
6 201642
7 201940
8 201031
9 201427
10 201821
11 201320
12 201418
13 202017
14 201816
15 201914
16 202214
17 202012
18 202111
19 201710
20 20129

About Danielle Carpiné

Danielle Carpiné is a scholar working on Biomaterials, Food Science, Nutrition and Dietetics, Plant Science and Biomedical Engineering, having authored 25 papers that have together received 684 indexed citations. Recurring topics across this work include Nanocomposite Films for Food Packaging (9 papers), Advanced Chemical Sensor Technologies (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Meat and Animal Product Quality (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Polysaccharides Composition and Applications (2 papers), Analytical Chemistry and Chromatography (2 papers) and Biodiesel Production and Applications (2 papers). The work is most often cited by research in Filtration and Separation (49 citations), Catalysis (115 citations), Biomaterials (212 citations), Food Science (169 citations) and Analytical Chemistry (55 citations). Danielle Carpiné has collaborated with scholars based in Brazil and Ireland. Frequent co-authors include João Luiz Andreotti Dagostin, Marcos R. Mafra, Charles Windson Isidoro Haminiuk, Nina Waszczynskyj, Rosemary Hoffmann Ribani, Larissa Canhadas Bertan, Marcos L. Corazza, Luciana Igarashi‐Mafra, Camila Augusto Perussello and Carmen Lúcia de Oliveira Petkowicz. Their work appears in journals such as Journal of Food Science, Food Bioscience, Industrial Crops and Products, Food and Bioprocess Technology and Journal of Food Engineering.

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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