Laura Gaeta

1.9k citations
26 papers · 1.6k indexed · h-index 18
Topics
Liver Disease Diagnosis and Treatment (6 papers)Amyotrophic Lateral Sclerosis Research (4 papers)Liver Disease and Transplantation (4 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Laura Gaeta

26 papers receiving 1.5k citations

Peers

Laura Gaeta
Comparison fields: 5 of 122
  • Molecular Biology 780
  • Cellular and Molecular Neuroscience 341
  • Epidemiology 190
  • Neurology 180
  • Cell Biology 171
Replace Silvana Zanlungo with:
Silvana Zanlungo Chile
Makiko Hayashi Japan
Jing Xie China
H. Martin Seidel United States
Salvador Pérez Spain
Marina Villanueva‐Paz Spain
Milena Hristova United States
Evita van de Steeg Netherlands
Michael A. Sweetland United States
Hiroaki Iijima Japan
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Citations per field
00.5×
Silvana Zanlungo · 1×
Citations per year

Countries citing papers authored by Laura Gaeta

Since Specialization
Citations

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

Fields of papers citing papers by Laura Gaeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Gaeta

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2
Cognitive dysfunctions in hepatitis C virus (HCV) i nfection. A mini review
4
3 109
4 35
5 1
6 5
7 136
8 3
9 70
10 33
11 26
12 43
13 65
14 13
15 227
16 51
17 25
18 137
19 42
20
[Cystic formations in chronic pancreatitis: therapeutic trends].
1

About Laura Gaeta

Laura Gaeta is a scholar working on Hepatology, Biochemistry and Transplantation, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Neurology (180 citations), Biochemistry (155 citations) and Cellular and Molecular Neuroscience (341 citations). Laura Gaeta has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Fiorella Piemonte, Giulia Tozzi, Anna Pastore, Giorgio Federici, Enrico Bertini, Marinella Pirozzi, Angelo Quattrini, Fátima Ferreirinha, Andrea Ballabio and Vania Broccoli. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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