Daniela Traini

8.5k citations
278 papers · 6.8k · h-index 44

Impact in

Papers in

Daniela Traini

270 papers receiving 6.6k citations

Peers

Daniela Traini
Comparison fields: 5 of 158
  • Pharmaceutical Science 2.2k
  • Pulmonary and Respiratory Medicine 4.1k
  • Molecular Medicine 425
  • Food Science 1.2k
  • Biomaterials 551
Replace Paul M. Young with:
Paul M. Young Australia
Anthony J. Hickey United States
Hugh D. C. Smyth United States
Gary P. Martin United Kingdom
Qi Zhou United States
Karim Amighi Belgium
Robert O. Williams United States
Nicolas Tsapis France
Ian Larson Australia
Ali Nokhodchi United Kingdom
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 278 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019198
2 2014196
3 2015152
4 2015147
5 2015131
6 2005103
7 200798
8 201096
9 200888
10 201087
11 200785
12 200878
13 200878
14 200777
15 201276
16 201475
17 201873
18 200972
19 200672
20 201968

About Daniela Traini

Daniela Traini is a scholar working on Pulmonary and Respiratory Medicine, Pharmaceutical Science, Physiology, Molecular Biology and Electrical and Electronic Engineering, having authored 278 papers that have together received 6.8k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (184 papers), Advanced Drug Delivery Systems (45 papers), Asthma and respiratory diseases (39 papers), Aerosol Filtration and Electrostatic Precipitation (35 papers), Drug Solubulity and Delivery Systems (34 papers), Cystic Fibrosis Research Advances (24 papers), Advancements in Transdermal Drug Delivery (23 papers) and Microencapsulation and Drying Processes (21 papers). The work is most often cited by research in Pharmaceutical Science (2.2k citations), Pulmonary and Respiratory Medicine (4.1k citations), Molecular Medicine (425 citations), Food Science (1.2k citations) and Biomaterials (551 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, Santo Scalia and Maliheh Ghadiri. Their work appears in journals such as Pharmaceutical Research, International Journal of Pharmaceutics, 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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