Alfonsina D’Amato

2.7k total citations
83 papers, 1.9k citations indexed

About

Alfonsina D’Amato is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Alfonsina D’Amato has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 22 papers in Spectroscopy and 13 papers in Physiology. Recurrent topics in Alfonsina D’Amato's work include Advanced Proteomics Techniques and Applications (20 papers), Identification and Quantification in Food (12 papers) and Biochemical effects in animals (9 papers). Alfonsina D’Amato is often cited by papers focused on Advanced Proteomics Techniques and Applications (20 papers), Identification and Quantification in Food (12 papers) and Biochemical effects in animals (9 papers). Alfonsina D’Amato collaborates with scholars based in Italy, United Kingdom and Spain. Alfonsina D’Amato's co-authors include Pier Giorgio Righetti, Elisa Fasoli, Angela Bachi, Egisto Boschetti, Alexander V. Kravchuk, Giancarlo Aldini, Francesco Girolamo, Giovanna Baron, Attilio Citterio and Alessandra Altomare and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Alfonsina D’Amato

81 papers receiving 1.9k citations

Peers

Alfonsina D’Amato
Comparison fields: 5 of 137
  • Molecular Biology 950
  • Food Science 242
  • Spectroscopy 229
  • Physiology 212
  • Plant Science 179
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Igor A. Butovich United States
Adelina Rogowska-Wrzesińska Denmark
Anas M. Abdel Rahman Saudi Arabia
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Hiroyuki Yano Japan View profile →
Citations per field, relative to Alfonsina D’Amato
Alfonsina D’Amato · 1×
Citations per year, relative to Alfonsina D’Amato
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Countries citing papers authored by Alfonsina D’Amato

Since Specialization
Citations

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

Fields of papers citing papers by Alfonsina D’Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfonsina D’Amato. 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 Alfonsina D’Amato. The network helps show where Alfonsina D’Amato may publish in the future.

Co-authorship network of co-authors of Alfonsina D’Amato

This figure shows the co-authorship network connecting the top 25 collaborators of Alfonsina D’Amato. A scholar is included among the top collaborators of Alfonsina D’Amato 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 Alfonsina D’Amato. Alfonsina D’Amato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 6
4 2
5 3
6 1
7 18
8 6
9 10
10 22
11 69
12 15
13 51
14 38
15 17
16
In taberna quando sumus: A Drunkard's Cakewalk Through Wine Proteomics
6
17 7
18 66
19 34
20 52

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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