Daniela De Stefano

2.3k citations
37 papers · 1.4k indexed · h-index 24

Impact in

Papers in

Daniela De Stefano

37 papers receiving 1.4k citations

Peers

Daniela De Stefano
Comparison fields: 5 of 109
  • Biochemistry 131
  • Pharmaceutical Science 131
  • Gastroenterology 92
  • Pharmacology 240
  • Immunology 207
Replace Lorenzo Cinci with:
Lorenzo Cinci Italy
Jie Song China
Zhejie Chen China
Qinxiu Zhang China
Hussain Ali Pakistan
Sudipta Saha India
Masaaki Nomura Japan
Miwon Son South Korea
Mona A. El‐Ghazaly Egypt
Daniela De Stefano relative to Lorenzo Cinci Italy Lorenzo Cinci's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela De Stefano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela De Stefano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201937
2 20187
3 20172
4 201638
5 201633
6 201317
7 201355
8 201214
9 2012123
10 201211
11 201136
12 201014
13 200827
14 200728
15 200618
16 200545
17 200527
18 200587
19 200429
20 200353

About Daniela De Stefano

Daniela De Stefano is a scholar working on Applied Microbiology and Biotechnology, Gastroenterology, Pharmaceutical Science, Immunology and Geriatrics and Gerontology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Celiac Disease Research and Management (4 papers), Cystic Fibrosis Research Advances (4 papers), Neonatal Respiratory Health Research (4 papers), NF-κB Signaling Pathways (4 papers), Galectins and Cancer Biology (4 papers), Wound Healing and Treatments (3 papers) and Tannin, Tannase and Anticancer Activities (3 papers). The work is most often cited by research in Biochemistry (131 citations), Pharmaceutical Science (131 citations), Gastroenterology (92 citations), Pharmacology (240 citations) and Immunology (207 citations). Daniela De Stefano has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Rosa Carnuccio, Maria Chiara Maiuri, Teresa Iuvone, Giuseppe Esposito, Daniele De Filippis, Giuseppe De Rosa, Maria Pia Cinelli, Laura Mayol, Maria Immacolata La Rotonda and Fabio Ayala. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Pharmacology, The Journal of Gene Medicine, Naunyn-Schmiedeberg s Archives of Pharmacology and PLoS ONE.

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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