Laura Luberto

689 citations
14 papers · 393 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Immunotherapy and Immune Responses

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • HER2/EGFR in Cancer Research 2
    • Cancer Immunotherapy and Biomarkers 2

Laura Luberto

14 papers receiving 385 citations

Peers

Laura Luberto
Comparison fields: 5 of 86
  • Infectious Diseases 137
  • Immunology 84
  • Biotechnology 31
  • Oncology 97
  • Molecular Biology 147
Replace Feng-Yi Ke with:
Feng-Yi Ke Taiwan
Nasir Mohajel Iran
Haifeng Song China
Kang-Hao Liang Taiwan
Aline da Rocha Matos Brazil
Cara Donahue Carey United States
Hadida Yasmin India
Yanhui Zheng China
Vishal Kamat United States
Robin Parsons Canada
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Citations per field
00.5×9.5×
Feng-Yi Ke · 1×
Citations per year

Countries citing papers authored by Laura Luberto

Since Specialization
Citations

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

Fields of papers citing papers by Laura Luberto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020132
2 201051
3 200940
4 201337
5 201336
6 201131
7 201931
8 201712
9 20156
10 20215
11 20245
12 20155
13 20211
14 20131

About Laura Luberto

Laura Luberto is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Virus-based gene therapy research (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Infectious Diseases (137 citations), Immunology (84 citations), Biotechnology (31 citations), Oncology (97 citations) and Molecular Biology (147 citations). Laura Luberto has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Luigi Aurisicchio, Emanuele Marra, Giuseppe Roscilli, Fabio Palombo, Giovanni Salvatori, Mariano Maffei, Gennaro Ciliberto, Rita Mancini, Alessia Noto and Claudia De Vitis. Their work appears in journals such as Oncotarget, Human Gene Therapy, Journal of Translational Medicine, Toxicologic Pathology and Nutrients.

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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