Luisa Vicari

995 citations
22 papers · 562 · h-index 15

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • Cell death mechanisms and regulation 3
    • Chemical Synthesis and Analysis 2
    • Click Chemistry and Applications 2

Luisa Vicari

21 papers receiving 550 citations

Peers

Luisa Vicari
Comparison fields: 5 of 81
  • Pharmaceutical Science 71
  • Biomaterials 76
  • Oncology 118
  • Endocrinology, Diabetes and Metabolism 67
  • Molecular Biology 263
Replace Masahiro Yamauchi with:
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Hao Cai China
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Luisa Vicari relative to Masahiro Yamauchi Japan Masahiro Yamauchi's profile →
Citations per field
00.5×3.0×
Masahiro Yamauchi · 1×
Citations per year

Countries citing papers authored by Luisa Vicari

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Vicari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200680
2 200744
3 200842
4 199940
5 200639
6 200039
7 201736
8 201733
9 200429
10 201629
11
Obesity is associated with a higher level of pro-inflammatory cytokines in follicular fluid of women undergoing medically assisted procreation (PMA) programs.
201128
12 200823
13 201623
14 201519
15
L-thyroxin treatment and post-menopausal osteoporosis: relevance of the risk profile present in clinical history.
200819
16 200313
17 20019
18 20058
19 20106
20 20162

About Luisa Vicari

Luisa Vicari is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Public Health, Environmental and Occupational Health and Hematology, having authored 22 papers that have together received 562 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Cell death mechanisms and regulation (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Click Chemistry and Applications (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cancer Cells and Metastasis (2 papers), Natural Compounds in Disease Treatment (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Pharmaceutical Science (71 citations), Biomaterials (76 citations), Oncology (118 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Molecular Biology (263 citations). Luisa Vicari has collaborated with scholars based in Italy, Montenegro and United Kingdom. Frequent co-authors include Giovanni Puglisi, Rosario Pignatello, Massimo Gulisano, Lorenzo Memeo, Teresa Musumeci, Valeria Sorrenti, C. Di Giacomo, Ruggero De Maria, Concetta Conticello and Cristina Colarossi. Their work appears in journals such as Drug Delivery, The Journal of Clinical Endocrinology & Metabolism, Blood, Cancer Research and OncoTargets and Therapy.

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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