Laura Braccini

1.7k citations
12 papers · 1.3k indexed · 1 hit paper · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • PI3K/AKT/mTOR signaling in cancer
    • RNA modifications and cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Circular RNAs in diseases

Papers in

Laura Braccini

12 papers receiving 1.3k citations

Hit Papers

PI3K/AKT signaling pathway and cancer: an updated review 2014 · 912 citations
9122014202620182022250500750

Peers

Laura Braccini
Comparison fields: 5 of 98
  • Cancer Research 273
  • Molecular Biology 880
  • Oncology 239
  • Genetics 86
  • Immunology 160
Replace Wenan Qiang with:
Wenan Qiang United States
Maria Chiara De Santis Italy
A. Pieter J. van den Heuvel United States
Kyung Song United States
Guizhi Yang China
Esther Castaño Spain
Jia Xu China
K. M. Nicholson United Kingdom
Mustapha Kandouz United States
Qingbin Kong China
Laura Braccini relative to Wenan Qiang United States Wenan Qiang's profile →
Citations per field
00.5×1.5×
Wenan Qiang · 1×
Citations per year

Countries citing papers authored by Laura Braccini

Since Specialization
Citations

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

Fields of papers citing papers by Laura Braccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 20225
2 2015131
3
PI3K/AKT signaling pathway and cancer: an updated review
Hit paper breakdown →
2014912
4 201437
5 201238
6 201127
7 201098
8 200948
9 20091
10 20094
11
[ADHD and multimodal intervention].
20061
12 200217

About Laura Braccini

Laura Braccini is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Cancer Research, Genetics and Surgery, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Pancreatic function and diabetes (4 papers), RNA Research and Splicing (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Plant Genetic and Mutation Studies (1 paper), RNA modifications and cancer (1 paper), Adipose Tissue and Metabolism (1 paper) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Cancer Research (273 citations), Molecular Biology (880 citations), Oncology (239 citations), Genetics (86 citations) and Immunology (160 citations). Laura Braccini has collaborated with scholars based in Italy, Australia and Germany. Frequent co-authors include Emilio Hirsch, Miriam Martini, Maria Chiara De Santis, Federico Gulluni, Federico Damilano, Alessandra Ghigo, Elisa Ciraolo, Alessia Perino, Fulvio Morello and Dario Livio Longo. Their work appears in journals such as FEBS Letters, Nature Communications, BioEssays, Cells and Advances in Biological Regulation.

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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