Luisa Cutillo
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Retinal Development and Disorders
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
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- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 3
- RNA Research and Splicing 2
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- Complex Network Analysis Techniques 6
- Co-authors
- Annamaria Carissimo (6 shared papers)Claudia Angelini (5 shared papers)Sandro Banfi (3 shared papers)Alberto Auricchio (2 shared papers)Albert M. Maguire (1 shared paper)Santosh Anand (1 shared paper)Mariacarmela Allocca (1 shared paper)Maria García‐Hoyos (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (3 papers)Journal of Statistical Planning and Inference (2 papers)Nucleic Acids Research (2 papers)PLoS ONE (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Luisa Cutillo
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 146
- Cancer Research 150
- Molecular Biology 611
- Ophthalmology 63
- Genetics 77
- Genetics 165
Countries citing papers authored by Luisa Cutillo
This map shows the geographic impact of Luisa Cutillo'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 Luisa Cutillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Cutillo more than expected).
Fields of papers citing papers by Luisa Cutillo
This network shows the impact of papers produced by Luisa Cutillo. 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 Luisa Cutillo. The network helps show where Luisa Cutillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Cutillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 249 | |
| 2 | 2008 | 154 | |
| 3 | 2014 | 70 | |
| 4 | 2007 | 60 | |
| 5 | 2016 | 51 | |
| 6 | 2019 | 45 | |
| 7 | 2008 | 45 | |
| 8 | 2008 | 44 | |
| 9 | 2012 | 32 | |
| 10 | 2017 | 30 | |
| 11 | 1993 | 30 | |
| 12 | 2006 | 28 | |
| 13 | 2009 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2012 | 21 | |
| 16 | 2014 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2017 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2008 | 12 |
About Luisa Cutillo
Luisa Cutillo is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Artificial Intelligence, Surgery and Genetics, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Single-cell and spatial transcriptomics (5 papers), Advanced Clustering Algorithms Research (3 papers), Gene expression and cancer classification (3 papers), RNA Research and Splicing (2 papers), Remote Sensing in Agriculture (2 papers), Mental Health Research Topics (2 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Cancer Research (150 citations), Molecular Biology (611 citations), Ophthalmology (63 citations), Genetics (77 citations) and Genetics (165 citations). Luisa Cutillo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Annamaria Carissimo, Claudia Angelini, Sandro Banfi, Alberto Auricchio, Albert M. Maguire, Santosh Anand, Mariacarmela Allocca, Maria García‐Hoyos, Andrea Ballabio and So Ra Kim. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Statistical Planning and Inference, Nucleic Acids Research, PLoS ONE 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.