Laura Poliseno

14.8k citations
59 papers · 11.0k indexed · 4 hit papers · h-index 22
  • Cancer Research top 0.05%
    • MicroRNA in disease regulation 22
    • Cancer-related molecular mechanisms research 17
    • Circular RNAs in diseases 10
    • Melanoma and MAPK Pathways 8
    • RNA modifications and cancer 7
    • RNA Interference and Gene Delivery 6
    • RNA Research and Splicing 6
    • Advanced biosensing and bioanalysis techniques 5
  • Immunology top 5%
  • Oncology top 5%

Laura Poliseno

56 papers receiving 10.8k citations

Hit Papers

Coding-Independent Regulation of the Tumor Suppressor PTE...821200620262012201910002.0k3.0k4.0k5.0k

Peers

Laura Poliseno
Comparison fields: 5 of 132
  • Cancer Research 8.7k
  • Molecular Biology 9.5k
  • Endocrinology 146
  • Immunology 476
  • Oncology 517
Replace Yvonne Tay with:
Yvonne Tay Singapore
Sven Diederichs Germany
Kun Qu China
Yong Sun Lee South Korea
Ashish Lal United States
Kun Sun China
Eti Meiri Israel
Luisa Statello Italy
Ugo Ala Italy
Shenglin Huang China
Laura Poliseno relative to Yvonne Tay Singapore Yvonne Tay's profile →
Citations per field
00.5×1.5×
Yvonne Tay · 1×
Citations per year

Countries citing papers authored by Laura Poliseno

Since Specialization
Citations

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

Fields of papers citing papers by Laura Poliseno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202433
4 20233
5 20236
6 20230
7 20224
8 20227
9 202012
10 20201
11 20195
12 20196
13 201938
14 20187
15 201522
16 20152
17 201486
18 201156
19 20119
20
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?breakdown →
20115565

About Laura Poliseno

Laura Poliseno is a scholar working on Cancer Research, Molecular Biology and Business and International Management, having authored 59 papers that have together received 11.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (17 papers), Circular RNAs in diseases (10 papers), Melanoma and MAPK Pathways (8 papers), RNA modifications and cancer (7 papers), RNA Interference and Gene Delivery (6 papers), RNA Research and Splicing (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Cancer Research (8.7k citations), Molecular Biology (9.5k citations) and Endocrinology (146 citations). Laura Poliseno has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Pier Paolo Pandolfi, Leonardo Salmena, Yvonne Tay, Lev M. Kats, Brett S. Carver, Jiangwen Zhang, Andrea Tuccoli, Ugo Ala, Giuseppe Rainaldi and Monica Evangelista. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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