Luigi Cerulo

3.5k total citations
80 papers, 2.3k citations indexed

About

Luigi Cerulo is a scholar working on Information Systems, Molecular Biology and Software. According to data from OpenAlex, Luigi Cerulo has authored 80 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Information Systems, 30 papers in Molecular Biology and 20 papers in Software. Recurrent topics in Luigi Cerulo's work include Software Engineering Research (32 papers), Software Reliability and Analysis Research (18 papers) and Gene Regulatory Network Analysis (9 papers). Luigi Cerulo is often cited by papers focused on Software Engineering Research (32 papers), Software Reliability and Analysis Research (18 papers) and Gene Regulatory Network Analysis (9 papers). Luigi Cerulo collaborates with scholars based in Italy, United States and Spain. Luigi Cerulo's co-authors include Gerardo Canfora, Massimiliano Di Penta, Lerina Aversano, Michele Ceccarelli, Suresh Thummalapenta, Charles Elkan, Marta Cimitile, Teresa Noviello, Massimo Pancione and Yann‐Gaël Guéhéneuc and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Luigi Cerulo

77 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luigi Cerulo Italy 30 1.4k 900 444 431 422 80 2.3k
Richard W. Selby United States 26 2.3k 1.6× 1.5k 1.7× 188 0.4× 748 1.7× 486 1.2× 78 4.2k
K. Vijay‐Shanker United States 35 1.9k 1.4× 863 1.0× 933 2.1× 2.3k 5.4× 409 1.0× 133 4.1k
Adam Kieżun United States 23 845 0.6× 955 1.1× 1.1k 2.5× 473 1.1× 154 0.4× 43 3.2k
Christian Murphy United States 16 435 0.3× 634 0.7× 392 0.9× 364 0.8× 206 0.5× 61 1.5k
Vijay Ganesh United States 25 941 0.7× 1.4k 1.5× 458 1.0× 772 1.8× 428 1.0× 75 3.1k
Michael Stumm Canada 36 1.2k 0.8× 189 0.2× 1.1k 2.4× 505 1.2× 2.5k 5.9× 109 4.8k
Motoshi Saeki Japan 18 1.0k 0.7× 394 0.4× 641 1.4× 692 1.6× 172 0.4× 108 2.1k
Stanley Letovsky United States 20 686 0.5× 323 0.4× 503 1.1× 401 0.9× 104 0.2× 36 1.9k
Shigeru Chiba Japan 15 614 0.4× 187 0.2× 257 0.6× 636 1.5× 510 1.2× 97 1.5k
Neil D. Jones Denmark 30 595 0.4× 769 0.9× 242 0.5× 2.6k 6.1× 541 1.3× 132 4.0k

Countries citing papers authored by Luigi Cerulo

Since Specialization
Citations

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

Fields of papers citing papers by Luigi Cerulo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luigi Cerulo

This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Cerulo. A scholar is included among the top collaborators of Luigi Cerulo 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 Luigi Cerulo. Luigi Cerulo 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
1.
Giordano, Guido, Luigi Coppola, Elena De Santis, et al.. (2024). Altered centriolar cohesion by CEP250 and appendages impact outcome of patients with pancreatic cancer. Pancreatology. 24(6). 899–908.
2.
Flores, José‐Abel, et al.. (2023). Surface water mass dynamics at IODP Site U1313 through Principal Component Analysis: Evidence from coccolith assemblages in the ∼25–7 kyr interval. Palaeogeography Palaeoclimatology Palaeoecology. 635. 111960–111960. 2 indexed citations
4.
Zotti, Tiziana, Antonia Giacco, Luigi Cerulo, et al.. (2023). Exercise Equals the Mobilization of Visceral versus Subcutaneous Adipose Fatty Acid Molecules in Fasted Rats Associated with the Modulation of the AMPK/ATGL/HSL Axis. Nutrients. 15(14). 3095–3095. 1 indexed citations
5.
D’Agostino, Ylenia, Elena Frigato, Teresa Noviello, et al.. (2022). Loss of circadian rhythmicity in bdnf knockout zebrafish larvae. iScience. 25(4). 104054–104054. 23 indexed citations
6.
Caruso, Francesca Pia, Mario D’Andrea, Luigi Coppola, et al.. (2022). Lymphocyte antigen 6G6D-mediated modulation through p38α MAPK and DNA methylation in colorectal cancer. Cancer Cell International. 22(1). 253–253. 7 indexed citations
7.
Remo, Andrea, Stefano Barbi, Ines Simeone, et al.. (2021). Wnt (canonical and non canonical) pathways in breast carcinoma with extensive vascular invasion and inflammatory breast carcinoma. Pathology - Research and Practice. 219. 153347–153347. 2 indexed citations
8.
Caruso, Francesca Pia, Luciano Garofano, Fulvio D’Angelo, et al.. (2020). A map of tumor–host interactions in glioma at single-cell resolution. GigaScience. 9(10). 31 indexed citations
9.
Giordano, Guido, Pietro Parcesepe, Mario D’Andrea, et al.. (2019). JAK/Stat5-mediated subtype-specific lymphocyte antigen 6 complex, locus G6D (LY6G6D) expression drives mismatch repair proficient colorectal cancer. Journal of Experimental & Clinical Cancer Research. 38(1). 28–28. 29 indexed citations
10.
Hendrickx, Wouter, Ines Simeone, Samreen Anjum, et al.. (2017). Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis. OncoImmunology. 6(2). e1253654–e1253654. 128 indexed citations
11.
Giordano, Guido, Antonio Febbraro, Maria Lucia Sarnicola, et al.. (2015). Cancer-related CD15/FUT4 overexpression decreases benefit to agents targeting EGFR or VEGF acting as a novel RAF-MEK-ERK kinase downstream regulator in metastatic colorectal cancer. Journal of Experimental & Clinical Cancer Research. 34(1). 108–108. 57 indexed citations
12.
Cerulo, Luigi, Pina Marotta, Pietro Zoppoli, et al.. (2014). Identification of a Novel Gene Signature of ES Cells Self-Renewal Fluctuation through System-Wide Analysis. PLoS ONE. 9(1). e83235–e83235. 21 indexed citations
13.
Cerulo, Luigi, Massimiliano Di Penta, Alberto Bacchelli, Michele Ceccarelli, & Gerardo Canfora. (2014). Irish: A Hidden Markov Model to detect coded information islands in free text. Science of Computer Programming. 105. 26–43. 2 indexed citations
14.
Pagnotta, Stefano Maria, Carmelo Laudanna, Massimo Pancione, et al.. (2013). Ensemble of Gene Signatures Identifies Novel Biomarkers in Colorectal Cancer Activated through PPARγ and TNFα Signaling. PLoS ONE. 8(8). e72638–e72638. 35 indexed citations
15.
Cerulo, Luigi, Charles Elkan, & Michele Ceccarelli. (2010). Learning gene regulatory networks from only positive and unlabeled data. BMC Bioinformatics. 11(1). 228–228. 74 indexed citations
16.
Canfora, Gerardo, Michele Ceccarelli, Luigi Cerulo, & Massimiliano Di Penta. (2010). Using multivariate time series and association rules to detect logical change coupling: An empirical study. 1–10. 51 indexed citations
17.
Aversano, Lerina, et al.. (2007). An empirical study on the evolution of design patterns. 385–394. 64 indexed citations
18.
Canfora, Gerardo, et al.. (2004). Measuring XML document similarity: a case study for evaluating information extraction systems. 36–45. 2 indexed citations
19.
Canfora, Gerardo, Luigi Cerulo, & Luigi Troiano. (2004). Can Fuzzy Mathematics enrich the Assessment of Software Maintainability. 40(1). 85–94. 1 indexed citations
20.
Canfora, Gerardo, et al.. (2003). A Tool for Decision Support Implementing OFNWA Approach: A Case Study. Software Engineering and Knowledge Engineering. 714–720. 4 indexed citations

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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