Alessandra D’Angelo

23 papers receiving 346 citations

Peers

Alessandra D’Angelo
Comparison fields: 5 of 73
  • Health, Toxicology and Mutagenesis 87
  • Geriatrics and Gerontology 17
  • Pollution 49
  • Biochemistry 23
  • Molecular Biology 161
Replace Taeyeon Hong with:
Taeyeon Hong South Korea
Ruirui Kou China
Shaochin Lee China
Qinghui Meng China
Seung Gee Lee South Korea
R. K. Sharma India
Jeff Armstrong United States
Asok K. Dasmahapatra United States
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Citations per field
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Taeyeon Hong · 1×
Citations per year

Countries citing papers authored by Alessandra D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201138
2 200534
3 201128
4 200327
5 201226
6 201223
7 198823
8 201621
9 201318
10 199418
11 200417
12 201616
13 201513
14 201411
15 20039
16 20187
17 20155
18 20195
19 19915
20 19774

About Alessandra D’Angelo

Alessandra D’Angelo is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Pollution, Physiology and Plant Science, having authored 23 papers that have together received 351 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Pesticide and Herbicide Environmental Studies (5 papers), Environmental Toxicology and Ecotoxicology (5 papers), Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Receptor Mechanisms and Signaling (2 papers), Pesticide Exposure and Toxicity (2 papers) and Toxic Organic Pollutants Impact (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (87 citations), Geriatrics and Gerontology (17 citations), Pollution (49 citations), Biochemistry (23 citations) and Molecular Biology (161 citations). Alessandra D’Angelo has collaborated with scholars based in Italy, Argentina and Spain. Frequent co-authors include Letizia Giampietro, Marialuigia Fantacuzzi, Cristina Maccallini, Alessandra Ammazzalorso, Barbara De Filippis, Rosa Amoroso, María Gabriela Rovedatti, María Sol Souza, Gladis Magnarelli and Pasquale Linciano. Their work appears in journals such as European Journal of Medicinal Chemistry, Bulletin of Environmental Contamination and Toxicology, Bioorganic & Medicinal Chemistry Letters, Medical and Veterinary Entomology and Review of Scientific Instruments.

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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