Laura L. Licato

978 citations
14 papers · 794 indexed · h-index 11
Topics
NF-κB Signaling Pathways (4 papers)Virus-based gene therapy research (2 papers)Liver physiology and pathology (2 papers)

In The Last Decade

Laura L. Licato

13 papers receiving 777 citations

Peers

Laura L. Licato
Comparison fields: 5 of 82
  • Molecular Biology 284
  • Hepatology 190
  • Immunology 188
  • Cancer Research 183
  • Epidemiology 163
Replace Shiquan Liu with:
Shiquan Liu China
Ryosuke Muroyama Japan
Yves‐Paul Vandewynckel Belgium
Huafeng Wang China
Jacopo Baglieri United States
Ingo Georgoff United States
Weihua Xu China
Chunping Wang China
Wannan Chen China
Hidekazu Mizuhara Japan
Laura L. Licato relative to Shiquan Liu China Shiquan Liu's profile →
Citations per field
00.5×2.6×
Shiquan Liu · 1×
Citations per year

Countries citing papers authored by Laura L. Licato

Since Specialization
Citations

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

Fields of papers citing papers by Laura L. Licato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura L. Licato

This figure shows the co-authorship network connecting the top 25 collaborators of Laura L. Licato. A scholar is included among the top collaborators of Laura L. Licato 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 Laura L. Licato. Laura L. Licato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 54
3
Tumor p53 biomarkers personalize selection of adenoviral p53 gene therapy or methotrexate as potentially efficacious treatments in different and complementary groups of recurrent squamous cell carcinoma of the head and neck (SCCHN)
1
4 44
5 16
6 74
7 50
8 33
9 101
10 47
11 155
12 87
13 131
14 1

About Laura L. Licato

Laura L. Licato is a scholar working on Otorhinolaryngology, Cancer Research and Hepatology, having authored 14 papers that have together received 794 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Virus-based gene therapy research (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (190 citations), Cancer Research (183 citations) and Pharmacology (98 citations). Laura L. Licato has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include David A. Brenner, Christian Jobin, Claus Hellerbrand, R. Balfour Sartor, Balfour R. Sartor, Yuji Iimuro, Elizabeth A. Grimm, Konrad L. Streetz, Michael P. Manns and Gisa Tiegs. Their work appears in journals such as Journal of Biological Chemistry, Nature Biotechnology and Gastroenterology.

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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