Benedetta Era

1.4k citations
53 papers · 1.2k · h-index 20

Impact in

Papers in

    • melanin and skin pigmentation 12
    • Hemoglobin structure and function 5
    • Phytochemicals and Antioxidant Activities 17

Benedetta Era

52 papers receiving 1.1k citations

Peers

Benedetta Era
Comparison fields: 5 of 98
  • Biochemistry 284
  • Cell Biology 233
  • Pharmacology 207
  • Nutrition and Dietetics 180
  • Nephrology 82
Replace Francesca Pintus with:
Francesca Pintus Italy
Soon Sung Lim South Korea
Marı́a Gabriela Ortega Argentina
Erdong Yuan China
Ren Xiang Tan China
Do Thi Ha South Korea
Seung Hwan Hwang South Korea
Phương Thiện Thương South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Benedetta Era

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Era

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016112
2 201892
3 201983
4 200964
5 201160
6 201760
7 201858
8 201454
9 201552
10 201647
11 201738
12 201935
13 201732
14 202027
15 202125
16 201021
17 201921
18 201820
19 202319
20 202219

About Benedetta Era

Benedetta Era is a scholar working on Cell Biology, Biochemistry, Molecular Biology, Nutrition and Dietetics and Organic Chemistry, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (17 papers), melanin and skin pigmentation (12 papers), Biochemical Analysis and Sensing Techniques (9 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Essential Oils and Antimicrobial Activity (5 papers), Computational Drug Discovery Methods (5 papers) and Hemoglobin structure and function (5 papers). The work is most often cited by research in Biochemistry (284 citations), Cell Biology (233 citations), Pharmacology (207 citations), Nutrition and Dietetics (180 citations) and Nephrology (82 citations). Benedetta Era has collaborated with scholars based in Italy, Spain and Chile. Frequent co-authors include Antonella Fais, Francesca Pintus, Rosaria Medda, María João Matos, Amit Kumar, Amalia Di Petrillo, Giovanna Delogu, Lourdes Santana, Eugenio Uriarte and Ana M. Gonzaléz‐Paramás. Their work appears in journals such as Molecules, Journal of Enzyme Inhibition and Medicinal Chemistry, International Journal of Biological Macromolecules, Bioorganic & Medicinal Chemistry Letters and Plants.

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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