Giada Bianchetti

587 citations
35 papers · 418 · h-index 15

Impact in

    • Diet and metabolism studies
    • Erythrocyte Function and Pathophysiology
    • Retinal Diseases and Treatments

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Diet and metabolism studies 3
    • Erythrocyte Function and Pathophysiology 2

Giada Bianchetti

34 papers receiving 416 citations

Peers

Giada Bianchetti
Comparison fields: 5 of 97
  • Physiology 106
  • Ophthalmology 32
  • Biophysics 17
  • Biochemistry 18
  • Biochemistry 13
Replace Martina Kropp with:
Martina Kropp Switzerland
Yalan Chen China
Yuhong Liu China
Wen Zeng China
Yunying Huang China
Jiannan Wu China
Fei Zhao China
Ana S. Silva-Herdade Portugal
Sang Yeop Kim United States
Giada Bianchetti relative to Martina Kropp Switzerland Martina Kropp's profile →
Citations per field
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Citations per year

Countries citing papers authored by Giada Bianchetti

Since Specialization
Citations

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

Fields of papers citing papers by Giada Bianchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giada Bianchetti, 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 Giada Bianchetti Line = papers co-authored together Giada Bianchetti 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 202335
2 202228
3 202224
4 202122
5 202422
6 202020
7 202220
8 201919
9 202018
10 202317
11 202217
12 202115
13 202215
14 202214
15 202214
16 202014
17 202213
18 202113
19 202312
20 202011

About Giada Bianchetti

Giada Bianchetti is a scholar working on Molecular Biology, Physiology, Public Health, Environmental and Occupational Health, General Health Professions and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 418 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (4 papers), Diet and metabolism studies (3 papers), Lipid Membrane Structure and Behavior (3 papers), Nutritional Studies and Diet (3 papers), Lipid metabolism and biosynthesis (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Testicular diseases and treatments (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Physiology (106 citations), Ophthalmology (32 citations), Biophysics (17 citations), Biochemistry (18 citations) and Biochemistry (13 citations). Giada Bianchetti has collaborated with scholars based in Italy, Israel and Belgium. Frequent co-authors include Giuseppe Maulucci, Marco De Spirito, Maria Elisabetta Clementi, Beatrice Sampaolese, Giuseppe Tringali, Flavio Di Giacinto, Giovanni Delogu, Andrea Flex, Dario Pitocco and Flavio De Maio. Their work appears in journals such as International Journal of Molecular Sciences, Nutrients, Antioxidants, Analytica Chimica Acta and Cancers.

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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