Daniela Perret

1.6k citations
35 papers · 1.3k · h-index 21

Impact in

Papers in

    • Analytical chemistry methods development 19
    • Mass Spectrometry Techniques and Applications 13
    • Analytical Chemistry and Chromatography 12

Daniela Perret

35 papers receiving 1.2k citations

Peers

Daniela Perret
Comparison fields: 5 of 99
  • Analytical Chemistry 556
  • Pollution 414
  • Spectroscopy 453
  • Food Science 427
  • Animal Science and Zoology 163
Replace Stefano Marchese with:
Stefano Marchese Italy
José Luis Martı́nez-Vidal Spain
Amadeo R. Fernández‐Alba Spain
Despina Tsipi Greece
Ariadne C. Hogenboom Netherlands
Lucija Zupančič‐Kralj Slovenia
Antonia Garrido‐Frenich Spain
Manuela Correia Portugal
Shigeki Daishima Japan
Daniela Perret relative to Stefano Marchese Italy Stefano Marchese's profile →
Citations per field
00.5×1.5×
Stefano Marchese · 1×
Citations per year

Countries citing papers authored by Daniela Perret

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 200288
3 200885
4 200476
5 200669
6 200268
7 200368
8 200367
9 200865
10 200863
11 200449
12 200046
13 200434
14 200134
15 198534
16 200833
17 199831
18 200730
19 200730
20 199829

About Daniela Perret

Daniela Perret is a scholar working on Analytical Chemistry, Spectroscopy, Food Science, Pollution and Animal Science and Zoology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Analytical chemistry methods development (19 papers), Pesticide Residue Analysis and Safety (15 papers), Mass Spectrometry Techniques and Applications (13 papers), Analytical Chemistry and Chromatography (12 papers), Pharmacological Effects and Assays (5 papers), Pesticide and Herbicide Environmental Studies (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Analytical Chemistry (556 citations), Pollution (414 citations), Spectroscopy (453 citations), Food Science (427 citations) and Animal Science and Zoology (163 citations). Daniela Perret has collaborated with scholars based in Italy and Spain. Frequent co-authors include Alessandra Gentili, Stefano Marchese, Roberta Curini, G. D’Ascenzo, Manuel Sergi, Fulvia Caretti, Lucia Mainero Rocca, Aldo Marino, Antonio Di Corcia and Antonio Greco. Their work appears in journals such as Chromatographia, Rapid Communications in Mass Spectrometry, Journal of Chromatography A, Journal of AOAC International and TrAC Trends in Analytical Chemistry.

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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