Daniela Orsi

19 papers receiving 405 citations

Peers

Daniela Orsi
Comparison fields: 5 of 85
  • Analytical Chemistry 86
  • Spectroscopy 98
  • Health, Toxicology and Mutagenesis 65
  • Pollution 41
  • Toxicology 10
Replace Flávia Sirotheau Corrêa Pontes with:
Flávia Sirotheau Corrêa Pontes Brazil
Der‐Yuan Wang Taiwan
Dasom Shin South Korea
Jack J. Lohne United States
Marco Kreidl Austria
Miriana Stan Romania
Rodrigo Moreira da Silva Brazil
Daisuke Teshima Japan
Caroline A Spinks United Kingdom
Daniela Orsi relative to Flávia Sirotheau Corrêa Pontes Brazil Flávia Sirotheau Corrêa Pontes's profile →
Citations per field
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Flávia Sirotheau Corrêa Pontes · 1×
Citations per year

Countries citing papers authored by Daniela Orsi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Orsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200960
2 199657
3 201044
4 200843
5 200241
6 199237
7 202037
8 199427
9 200417
10 200316
11 201611
12 199610
13 20129
14 20219
15 20003
16 20143
17
[Mortality among workers in a cigarette factory in Lucca (Tuscany)].
20062
18 20221
19
[A cohort study of art glass workers in the Empoli area].
19991
20 19990

About Daniela Orsi

Daniela Orsi is a scholar working on Dermatology, Pulmonary and Respiratory Medicine, Spectroscopy, Food Science and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 428 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (4 papers), Occupational and environmental lung diseases (3 papers), Acne and Rosacea Treatments and Effects (3 papers), Hormonal and reproductive studies (3 papers), Pesticide Exposure and Toxicity (2 papers), Pesticide Residue Analysis and Safety (2 papers), Contact Dermatitis and Allergies (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Analytical Chemistry (86 citations), Spectroscopy (98 citations), Health, Toxicology and Mutagenesis (65 citations), Pollution (41 citations) and Toxicology (10 citations). Daniela Orsi has collaborated with scholars based in Italy and Sweden. Frequent co-authors include Luigi Gagliardi, Simona Pichini, Emilia Marchei, Manuela Pellegrini, Giuseppe Battista, Domenica Tonelli, Cristina Aprea, Pietro Sartorelli, Paola Chimenti and Gianfranco Sciarra. Their work appears in journals such as American Journal of Industrial Medicine, Journal of Pharmaceutical and Biomedical Analysis, Analytical and Bioanalytical Chemistry, International Archives of Occupational and Environmental Health and Analytica Chimica Acta.

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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