Daniela Pinto

3.0k citations
106 papers · 2.3k indexed · h-index 28

Impact in

Papers in

    • Hair Growth and Disorders 18
    • Dermatology and Skin Diseases 16
    • Skin Protection and Aging 7

Daniela Pinto

100 papers receiving 2.2k citations

Peers

Daniela Pinto
Comparison fields: 5 of 137
  • Nutrition and Dietetics 515
  • Food Science 590
  • Dermatology 235
  • Urology 153
  • Biochemistry 138
Replace Hiroshi Akiyama with:
Hiroshi Akiyama Japan
Tadeusz Wilczok Poland
Tomoya Takahashi Japan
Arianna Mastrofrancesco Italy
Donald Bissett United States
Young Joon Lee South Korea
Rao N. Saladi United States
Marjan Garmyn Belgium
Soo-Hyun Kim South Korea
Wojciech Miltyk Poland
Daniela Pinto relative to Hiroshi Akiyama Japan Hiroshi Akiyama's profile →
Citations per field
00.5×11.8×
Hiroshi Akiyama · 1×
Citations per year

Countries citing papers authored by Daniela Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011168
2 2016132
3 2010108
4 2020106
5 201594
6 200583
7 200375
8 201960
9 200260
10 201954
11 201752
12
Outcome in prostate cancer: association with endothelial nitric oxide synthase Glu-Asp298 polymorphism at exon 7.
200252
13 200646
14 200541
15 201539
16 200439
17 200539
18 200538
19 200535
20 201334

About Daniela Pinto

Daniela Pinto is a scholar working on Urology, Dermatology, Electronic, Optical and Magnetic Materials, Food Science and Rehabilitation, having authored 106 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hair Growth and Disorders (18 papers), Crystal Structures and Properties (17 papers), Dermatology and Skin Diseases (16 papers), Cervical Cancer and HPV Research (10 papers), Solid-state spectroscopy and crystallography (9 papers), Probiotics and Fermented Foods (8 papers), Skin Protection and Aging (7 papers) and Protein Hydrolysis and Bioactive Peptides (7 papers). The work is most often cited by research in Nutrition and Dietetics (515 citations), Food Science (590 citations), Dermatology (235 citations), Urology (153 citations) and Biochemistry (138 citations). Daniela Pinto has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Carlo Giuseppe Rizzello, Marco Gobbetti, Rui Medeiros, Barbara Marzani, Fabio Rinaldi, Carlos Lopes, Rossana Coda, Raquel Catarino, Maria De Angelis and Giammaria Giuliani. Their work appears in journals such as Dermatology and Therapy, American Mineralogist, Nutrients, International Journal of Molecular Sciences and European Journal of Cancer Prevention.

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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