Daniela Traini

8.9k citations
296 papers · 7.6k · h-index 46

Impact in

Papers in

Daniela Traini

285 papers receiving 7.3k citations

Peers

Daniela Traini
Comparison fields: 5 of 144
  • Pharmaceutical Science 1.2k
  • Pulmonary and Respiratory Medicine 4.2k
  • Drug Discovery 35
  • Biomaterials 723
  • Molecular Medicine 334
Replace Paul Michael Young with:
Paul Michael Young Australia
Nicolas Tsapis France
Andreas Zimmer Austria
Éric Allémann Switzerland
Mingshi Yang Denmark
Shirui Mao China
Xinge Zhang China
Heidi M. Mansour United States
Elias Fattal France
Anthony James Hickey United States
Daniela Traini relative to Paul Michael Young Australia Paul Michael Young's profile →
Citations per field
00.5×1.5×
Paul Michael 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 296 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019236
2 2014211
3 2015173
4 2015164
5 2015149
6 2005107
7 2007107
8 2010101
9 200795
10 201091
11 200890
12 200885
13 200784
14 201284
15 200883
16 201983
17 201482
18 200978
19 201178
20 201877

About Daniela Traini

Daniela Traini is a scholar working on Pulmonary and Respiratory Medicine, Pharmaceutical Science, Molecular Medicine, Biomaterials and Physiology, having authored 296 papers that have together received 7.6k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (200 papers), Advanced Drug Delivery Systems (37 papers), Nanoparticle-Based Drug Delivery (16 papers), Drug Solubulity and Delivery Systems (9 papers), Curcumin's Biomedical Applications (9 papers), Asthma and respiratory diseases (8 papers), Bacterial biofilms and quorum sensing (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). The work is most often cited by research in Pharmaceutical Science (1.2k citations), Pulmonary and Respiratory Medicine (4.2k citations), Drug Discovery (35 citations), Biomaterials (723 citations) and Molecular Medicine (334 citations). Daniela Traini has collaborated with scholars based in Australia, Italy and United Kingdom. Frequent co-authors include Paul Michael Young, Hak‐Kim Chan, Hui Xin Ong, Wing‐Hin Lee, Ching‐Yee Loo, Handoko Adi, Philippe Rogueda, Mehra Haghi, Maliheh Ghadiri and Santo Scalia. 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.

Explore authors with similar magnitude of impact