Giada Licata

1.0k citations
22 papers · 629 · h-index 14

Impact in

Papers in

    • Pancreatic function and diabetes 8
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 3

Giada Licata

22 papers receiving 610 citations

Peers

Giada Licata
Comparison fields: 5 of 66
  • Neurology 126
  • Endocrinology, Diabetes and Metabolism 128
  • Cancer Research 91
  • Genetics 52
  • Infectious Diseases 88
Replace Erik Lindgren with:
Erik Lindgren Sweden
Guerman Molostvov United Kingdom
Thierry Lefrancq France
Tetsutaro Nagaoka Japan
Hiroyoshi Tsubochi Japan
Inês Donangelo United States
Ewa Bar‐Andziak Poland
Marı́a Cristina Morán-Moguel Mexico
Gordan Grahovac United Kingdom
Giada Licata relative to Erik Lindgren Sweden Erik Lindgren's profile →
Citations per field
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Erik Lindgren · 1×
Citations per year

Countries citing papers authored by Giada Licata

Since Specialization
Citations

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

Fields of papers citing papers by Giada Licata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giada Licata, 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 Giada Licata Line = papers co-authored together Giada Licata 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 2020136
2 2006112
3 201259
4 202134
5 201931
6 202231
7 201330
8 202228
9 201124
10 202024
11 202123
12 202117
13 202214
14 202114
15 202210
16 20229
17 20218
18
Intrapleural adriamycin in treatment of myelomatous pleural effusion: a case report.
19888
19 20237
20 20247

About Giada Licata

Giada Licata is a scholar working on Surgery, Cancer Research, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 22 papers that have together received 629 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), MicroRNA in disease regulation (6 papers), Diabetes and associated disorders (5 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Diabetes Management and Research (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Neurology (126 citations), Endocrinology, Diabetes and Metabolism (128 citations), Cancer Research (91 citations), Genetics (52 citations) and Infectious Diseases (88 citations). Giada Licata has collaborated with scholars based in Italy, Belgium and Norway. Frequent co-authors include Guido Sebastiani, Francesco Dotta, Giuseppina Emanuela Grieco, Laura Nigi, Noemi Brusco, Daniela Fignani, Caterina Formichi, Lorella Marselli, Conny Gysemans and Piero Marchetti. Their work appears in journals such as International Journal of Molecular Sciences, The Oncologist, Frontiers in Endocrinology, Frontiers in Immunology and Cell Death Discovery.

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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