Tullia Maraldi

73 papers receiving 2.7k citations

Tullia Maraldi's Hit Papers

Glycosides from Stevia rebaudiana Bertoni Possess Insulin‐Mimetic and Antioxidant Activities in Rat Cardiac Fibroblasts 2017 · 515 citations
5150+3+6Years since publication100200300400500

Peers

Tullia Maraldi
Comparison fields: 5 of 132
  • Genetics 403
  • Urology 121
  • Biochemistry 121
  • Nutrition and Dietetics 286
  • Cancer Research 254
Replace Jian Zhou with:
Jian Zhou China
Claudio Cabello‐Verrugio Chile
Agnese Gugliandolo Italy
Kalamegam Gauthaman Saudi Arabia
Neil H Riordan United States
Young‐Sool Hah South Korea
Chunyu Zeng China
Carlo Guarnieri Italy
Luis Rodriguez-Menocal United States
Tullia Maraldi relative to Jian Zhou China Jian Zhou's profile →
Citations per field
00.5×2×2.7×
Jian Zhou · 1×
Citations per year

Countries citing papers authored by Tullia Maraldi

Since Specialization
Citations

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

Fields of papers citing papers by Tullia Maraldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glycosides from Stevia rebaudiana Bertoni Possess Insulin‐Mimetic and Antioxidant Activities in Rat Cardiac Fibroblasts
Hit paper breakdown →
2017515
2 2018142
3 2019116
4 2013114
5 201197
6 200297
7 201293
8 200990
9 201381
10 201174
11 201065
12 200758
13 201355
14 201854
15 201145
16 202145
17 200842
18 200939
19 201336
20 200836

About Tullia Maraldi

Tullia Maraldi is a scholar working on Molecular Biology, Surgery, Immunology, Genetics and Physiology, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Extracellular vesicles in disease (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Bone Tissue Engineering Materials (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Genetics (403 citations), Urology (121 citations), Biochemistry (121 citations), Nutrition and Dietetics (286 citations) and Cancer Research (254 citations). Tullia Maraldi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Cecilia Prata, Diana Fiorentini, Cristina Angeloni, Laura Zambonin, Silvana Hrelia, Francesca Beretti, Anto De Pol, Manuela Zavatti, Francesco Vieceli Dalla Sega and Gabriele Hakim. Their work appears in journals such as International Journal of Molecular Sciences, Oxidative Medicine and Cellular Longevity, Life Sciences, Free Radical Research and BioFactors.

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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