Daniela Pinto

3.2k citations
113 papers · 2.6k · h-index 29

Impact in

Papers in

    • Hair Growth and Disorders 21
    • Dermatology and Skin Diseases 12
    • Skin Protection and Aging 6

Daniela Pinto

109 papers receiving 2.5k citations

Peers

Daniela Pinto
Comparison fields: 5 of 133
  • Nutrition and Dietetics 544
  • Food Science 655
  • Urology 186
  • Dermatology 232
  • Biochemistry 136
Replace Hiroshi Akiyama with:
Hiroshi Akiyama Japan
Arianna Mastrofrancesco Italy
Rao N. Saladi United States
Donald L. Bissett United States
Sławomir Lewicki Poland
Young Joon Lee South Korea
Roslida Abd Hamid Malaysia
Kati Erdmann Germany
Tadeusz Wilczok Poland
Judy Yuet‐Wa Chan Hong Kong
Daniela Pinto relative to Hiroshi Akiyama Japan Hiroshi Akiyama's profile →
Citations per field
00.5×5×10×14.3×
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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011203
2 2016153
3 2010121
4 2020119
5 2015105
6 200586
7 200382
8 201965
9 200263
10 201959
11 201757
12
Outcome in prostate cancer: association with endothelial nitric oxide synthase Glu-Asp298 polymorphism at exon 7.
200255
13 200646
14 201543
15 200543
16 200442
17 200540
18 202039
19 200539
20 200539

About Daniela Pinto

Daniela Pinto is a scholar working on Urology, Dermatology, Electronic, Optical and Magnetic Materials, Food Science and Rehabilitation, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hair Growth and Disorders (21 papers), Crystal Structures and Properties (17 papers), Dermatology and Skin Diseases (12 papers), Solid-state spectroscopy and crystallography (9 papers), Cervical Cancer and HPV Research (8 papers), Probiotics and Fermented Foods (7 papers), Skin Protection and Aging (6 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). The work is most often cited by research in Nutrition and Dietetics (544 citations), Food Science (655 citations), Urology (186 citations), Dermatology (232 citations) and Biochemistry (136 citations). Daniela Pinto has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Carlo Giuseppe Rizzello, Marco Gobbetti, Barbara Marzani, Rui Medeiros, Fabio Rinaldi, Rossana Coda, Carlos Lopes, Raquel Catarino, Giammaria Giuliani and Maria De Angelis. Their work appears in journals such as Dermatology and Therapy, American Mineralogist, Nutrients, International Journal of Molecular Sciences and Frontiers in Microbiology.

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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