Roberta D’Agata

2.0k citations
52 papers · 1.5k · h-index 24

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 26
    • Advanced Biosensing Techniques and Applications 5
    • Biosensors and Analytical Detection 16
    • Plasmonic and Surface Plasmon Research 4
    • Innovative Microfluidic and Catalytic Techniques Innovation 4

Roberta D’Agata

51 papers receiving 1.5k citations

Peers

Roberta D’Agata
Comparison fields: 5 of 108
  • Biomedical Engineering 691
  • Bioengineering 84
  • Molecular Biology 1.0k
  • Cancer Research 142
  • Reproductive Medicine 63
Replace Yunze Yang with:
Yunze Yang United States
Tian Zhao China
Tomáš Špringer Czechia
Friederike M. Mansfeld Australia
Mònica Mir Spain
Caide Xiao Canada
Benjamin A. Katchman United States
Levi A. Gheber Israel
Zhifeng Shao China
Huiying Zhao China
Roberta D’Agata relative to Yunze Yang United States Yunze Yang's profile →
Citations per field
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Yunze Yang · 1×
Citations per year

Countries citing papers authored by Roberta D’Agata

Since Specialization
Citations

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

Fields of papers citing papers by Roberta D’Agata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2011118
3 201788
4 201770
5 201165
6 201063
7 200859
8 201753
9 201249
10 201548
11 201946
12 202143
13 201038
14 200937
15 200235
16 202135
17 202134
18 202333
19 200832
20 200529

About Roberta D’Agata

Roberta D’Agata is a scholar working on Molecular Biology, Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Cancer Research, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (26 papers), Biosensors and Analytical Detection (16 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Advanced Biosensing Techniques and Applications (5 papers), Ovarian function and disorders (5 papers), Plasmonic and Surface Plasmon Research (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). The work is most often cited by research in Biomedical Engineering (691 citations), Bioengineering (84 citations), Molecular Biology (1.0k citations), Cancer Research (142 citations) and Reproductive Medicine (63 citations). Roberta D’Agata has collaborated with scholars based in Italy, Australia and South Africa. Frequent co-authors include Giuseppe Spoto, Noemi Bellassai, Laura Maria Zanoli, Giuseppe Grasso, Roberto Corradini, Maria Grazia Giuffrida, Rosangela Marchelli, Roberto Gambari, Pasquale Palladino and Graziella Vecchio. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Biosensors and Bioelectronics, Analytical Chemistry, Talanta and Journal of Inorganic Biochemistry.

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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