Luca Cerone

409 citations
8 papers · 325 · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Circular RNAs in diseases

Papers in

Luca Cerone

8 papers receiving 323 citations

Peers

Luca Cerone
Comparison fields: 5 of 69
  • Cancer Research 207
  • Molecular Biology 185
  • Cell Biology 36
  • Condensed Matter Physics 20
  • Endocrine and Autonomic Systems 10
Replace Miranda V. Hunter with:
Miranda V. Hunter United States
Valentine Léopold Netherlands
Michael F. Z. Wang United States
Maya Donyo Israel
Eric Brooks United States
Melissa L. Wilbert United States
Jonathan Alles Germany
Mana Umeda Japan
Valérie Migeot Belgium
Zhengzhou Ying China
Luca Cerone relative to Miranda V. Hunter United States Miranda V. Hunter's profile →
Citations per field
00.5×9.8×
Miranda V. Hunter · 1×
Citations per year

Countries citing papers authored by Luca Cerone

Since Specialization
Citations

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

Fields of papers citing papers by Luca Cerone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2011247
2 201343
3 20188
4 20228
5 20156
6 20126
7 20124
8 20123

About Luca Cerone

Luca Cerone is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Cell Biology, Insect Science and Plant Science, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Plant and animal studies (1 paper), MicroRNA in disease regulation (1 paper), Plant and Fungal Species Descriptions (1 paper), Mathematical Biology Tumor Growth (1 paper), Insect symbiosis and bacterial influences (1 paper), Fungal and yeast genetics research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (207 citations), Molecular Biology (185 citations), Cell Biology (36 citations), Condensed Matter Physics (20 citations) and Endocrine and Autonomic Systems (10 citations). Luca Cerone has collaborated with scholars based in Ireland, Australia and United Kingdom. Frequent co-authors include Zoltán Neufeld, Carsten C. Scholz, Ulrike Brüning, David Simpson, Susan F. Fitzpatrick, Martin O. Leonard, Alex Cheong, Eoin P. Cummins, Murtaza M. Tambuwala and Cormac T. Taylor. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Journal of Plant Research, Physical Biology and BMC Bioinformatics.

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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