Nadia Mulinacci

19 papers receiving 537 citations

Peers

Nadia Mulinacci
Comparison fields: 5 of 86
  • Biochemistry 117
  • Geriatrics and Gerontology 37
  • Pharmaceutical Science 34
  • Analytical Chemistry 47
  • Plant Science 178
Replace Dolores Muñoz‐Mingarro with:
Dolores Muñoz‐Mingarro Spain
Doris Engelmeier Austria
G. Billek Austria
Chunfeng Xie China
James E. Robbers United States
Saleh A. Turujman United States
Hiroshi Araya Japan
G. Mellerio Italy
Ophélie Fliniaux France
Eva G. Magalhães Brazil
Nadia Mulinacci relative to Dolores Muñoz‐Mingarro Spain Dolores Muñoz‐Mingarro's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nadia Mulinacci

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Mulinacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000184
2 201075
3 200773
4 200546
5 199635
6 200626
7 200119
8 199315
9 199314
10 198812
11 199311
12 199311
13 198810
14
Improvement of dissolution characteristics of psoralen by cyclodextrins complexation.
19959
15 19958
16 20205
17
Formation of inclusion complex between the non-steroidal anti-inflammatory drug (RS)-2-(4-isobutylphenyl)-propiohydroxamic acid and beta–cyclodextrin
19884
18 20252
19 19921
20 20250

About Nadia Mulinacci

Nadia Mulinacci is a scholar working on Molecular Biology, Plant Science, Food Science, Organic Chemistry and Pharmaceutical Science, having authored 21 papers that have together received 560 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (3 papers), Phytochemistry and Biological Activities (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Plant Gene Expression Analysis (2 papers), Phytochemistry and Bioactive Compounds (2 papers), Natural product bioactivities and synthesis (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Biochemistry (117 citations), Geriatrics and Gerontology (37 citations), Pharmaceutical Science (34 citations), Analytical Chemistry (47 citations) and Plant Science (178 citations). Nadia Mulinacci has collaborated with scholars based in Italy, Austria and Greece. Frequent co-authors include Annalisa Romani, Patrizia Pinelli, E. Gravano, Massimiliano Tattini, Catia Giaccherini, Marzia Innocenti, Franco Francesco Vincieri, G Mazzi, María‐Jesús Oliveras‐López and Francesca Ieri. Their work appears in journals such as International Journal of Pharmaceutics, Plant Physiology and Biochemistry, Journal of Photochemistry and Photobiology B Biology, Food Bioscience 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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