Daniela Traini

8.7k citations
284 papers · 7.2k · h-index 46

Impact in

Papers in

Daniela Traini

278 papers receiving 7.1k citations

Peers

Daniela Traini
Comparison fields: 5 of 156
  • Pharmaceutical Science 2.2k
  • Pulmonary and Respiratory Medicine 4.2k
  • Molecular Medicine 439
  • Food Science 1.2k
  • Biomaterials 558
Replace Paul M. Young with:
Paul M. Young Australia
Anthony J. Hickey United States
Hugh D. C. Smyth United States
Karim Amighi Belgium
Robert O. Williams United States
Qi Zhou United States
Nicolas Tsapis France
Gary P. Martin United Kingdom
Ian Larson Australia
Mingshi Yang Denmark
Daniela Traini relative to Paul M. Young Australia Paul M. Young's profile →
Citations per field
00.5×1.5×
Paul M. Young · 1×
Citations per year

Countries citing papers authored by Daniela Traini

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Traini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019227
2 2014207
3 2015170
4 2015164
5 2015143
6 2007107
7 2005107
8 2010100
9 200795
10 201092
11 200889
12 200885
13 200783
14 201282
15 200881
16 201481
17 201980
18 201877
19 200976
20 200675

About Daniela Traini

Daniela Traini is a scholar working on Pulmonary and Respiratory Medicine, Pharmaceutical Science, Molecular Biology, Biomedical Engineering and Physiology, having authored 284 papers that have together received 7.2k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (181 papers), Advanced Drug Delivery Systems (38 papers), Drug Solubulity and Delivery Systems (28 papers), Aerosol Filtration and Electrostatic Precipitation (27 papers), Asthma and respiratory diseases (21 papers), Microencapsulation and Drying Processes (18 papers), Cystic Fibrosis Research Advances (18 papers) and Advancements in Transdermal Drug Delivery (17 papers). The work is most often cited by research in Pharmaceutical Science (2.2k citations), Pulmonary and Respiratory Medicine (4.2k citations), Molecular Medicine (439 citations), Food Science (1.2k citations) and Biomaterials (558 citations). Daniela Traini has collaborated with scholars based in Australia, Italy and United Kingdom. Frequent co-authors include Paul M. Young, Hak‐Kim Chan, Hui Xin Ong, Wing‐Hin Lee, Ching‐Yee Loo, Handoko Adi, Mehra Haghi, Philippe Rogueda, Maliheh Ghadiri and Santo Scalia. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutical Research, Expert Opinion on Drug Delivery, Journal of Pharmaceutical Sciences and European Journal of Pharmaceutics and Biopharmaceutics.

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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