Roberta D’Agata

2.0k citations
52 papers · 1.5k indexed · h-index 24
Topics
Advanced biosensing and bioanalysis techniques (26 papers)Biosensors and Analytical Detection (16 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)
Partner nations
ItalyAustriaAustralia

In The Last Decade

Roberta D’Agata

51 papers receiving 1.5k citations

Peers

Roberta D’Agata
Comparison fields: 5 of 108
  • Molecular Biology 1.0k
  • Biomedical Engineering 691
  • Electrical and Electronic Engineering 188
  • Cancer Research 142
  • Electronic, Optical and Magnetic Materials 128
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
00.5×5.3×
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-authorship network of co-authors of Roberta D’Agata

This figure shows the co-authorship network connecting the top 25 collaborators of Roberta D’Agata. A scholar is included among the top collaborators of Roberta D’Agata 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 Roberta D’Agata. Roberta D’Agata 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
#WorkIndexed citations
1 8
2 5
3 5
4 9
5 35
6 25
7 160
8 3
9 53
10 21
11 22
12 18
13 38
14 12
15 59
16 32
17 27
18 29
19 35
20 5

About Roberta D’Agata

Roberta D’Agata is a scholar working on Reproductive Medicine, Conservation and Biomedical Engineering, 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) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Biomedical Engineering (691 citations), Bioengineering (84 citations) and Molecular Biology (1.0k citations). Roberta D’Agata has collaborated with scholars based in Italy, Austria and Australia. Frequent co-authors include Giuseppe Spoto, Noemi Bellassai, Laura Maria Zanoli, Giuseppe Grasso, Roberto Corradini, Maria Grazia Giuffrida, Rosangela Marchelli, Roberto Gambari, Graziella Vecchio and Pasquale Palladino. Their work appears in journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Molecules.

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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