Daniela Dal Molim Ghisleni

692 citations
20 papers · 523 indexed · h-index 11

Daniela Dal Molim Ghisleni

20 papers receiving 509 citations

Peers

Daniela Dal Molim Ghisleni
Comparison fields: 5 of 100
  • Food Science 192
  • Pharmaceutical Science 138
  • Materials Chemistry 85
  • Biomedical Engineering 75
  • Organic Chemistry 59
Replace Syed Nisar Hussain Shah with:
Syed Nisar Hussain Shah Pakistan
Megumi Nishitani Yukuyama Brazil
Tünde Jurca Romania
Constaín H. Salamanca Colombia
Bolívar Ponciano Goulart de Lima Damasceno Brazil
Foziyah Zakir India
Biswaranjan Mohanty India
Mohamed K. Ghorab United States
Heba Elmotasem Egypt
Zoran Lavrič Slovenia
Daniela Dal Molim Ghisleni relative to Syed Nisar Hussain Shah Pakistan Syed Nisar Hussain Shah's profile →
Citations per field
00.5×2.6×
Syed Nisar Hussain Shah · 1×
Citations per year

Countries citing papers authored by Daniela Dal Molim Ghisleni

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Dal Molim Ghisleni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Dal Molim Ghisleni

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Dal Molim Ghisleni. A scholar is included among the top collaborators of Daniela Dal Molim Ghisleni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Dal Molim Ghisleni. Daniela Dal Molim Ghisleni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 22
4 3
5
Diclofenac Loaded Soft Contact Lenses: in vitro studies towards the development of safe and efficient devices
1
6 10
7 28
8 17
9 35
10 59
11 21
12 28
13 28
14 234
15 11
16 6
17 7
18 1
19 3
20 7

About Daniela Dal Molim Ghisleni

Daniela Dal Molim Ghisleni is a scholar working on Pharmaceutical Science, Analytical Chemistry and Pharmacology, having authored 20 papers that have together received 523 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (6 papers), Drug Solubulity and Delivery Systems (5 papers) and Advancements in Transdermal Drug Delivery (3 papers). The work is most often cited by research in Pharmaceutical Science (138 citations), Food Science (192 citations) and Molecular Medicine (41 citations). Daniela Dal Molim Ghisleni has collaborated with scholars based in Brazil, Australia and Portugal. Frequent co-authors include Terezinha de Jesus Andreoli Pinto, Nádia Araci Bou‐Chacra, Megumi Nishitani Yukuyama, Kamal Dua, Irene Satiko Kikuchi, Rajendra Awasthi, Raquel Galante, Ana Paula Serro, R. Colaço and Giriraj T. Kulkarni. Their work appears in journals such as Pharmaceutical Research, International Journal of Biological Macromolecules and Investigative Ophthalmology & Visual Science.

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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