Luana Licata

7.1k total citations · 1 hit paper
49 papers, 2.3k citations indexed

About

Luana Licata is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Luana Licata has authored 49 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Genetics. Recurrent topics in Luana Licata's work include Bioinformatics and Genomic Networks (23 papers), Biomedical Text Mining and Ontologies (10 papers) and Computational Drug Discovery Methods (7 papers). Luana Licata is often cited by papers focused on Bioinformatics and Genomic Networks (23 papers), Biomedical Text Mining and Ontologies (10 papers) and Computational Drug Discovery Methods (7 papers). Luana Licata collaborates with scholars based in Italy, United Kingdom and United States. Luana Licata's co-authors include Gianni Cesareni, Luisa Castagnoli, Livia Perfetto, Daniele Peluso, Leonardo Briganti, Marta Iannuccelli, Elena Santonico, Alberto Calderone, Francesca Sacco and Anita Palma and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Luana Licata

47 papers receiving 2.3k citations

Hit Papers

MINT, the molecular interaction database: 2012 update 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luana Licata Italy 17 1.9k 464 183 162 157 49 2.3k
Nurcan Tunçbağ Türkiye 22 1.9k 1.0× 530 1.1× 204 1.1× 128 0.8× 196 1.2× 50 2.4k
Livia Perfetto Italy 17 2.0k 1.1× 452 1.0× 146 0.8× 142 0.9× 133 0.8× 43 2.3k
Kristina Hanspers United States 19 2.3k 1.3× 255 0.5× 450 2.5× 274 1.7× 210 1.3× 25 3.1k
Michael Livstone United States 9 2.2k 1.2× 380 0.8× 168 0.9× 295 1.8× 94 0.6× 10 2.8k
Thomas Kelder Netherlands 18 1.6k 0.9× 225 0.5× 236 1.3× 199 1.2× 126 0.8× 30 2.3k
Jasmin Coulombe‐Huntington Canada 17 2.2k 1.2× 270 0.6× 233 1.3× 228 1.4× 259 1.6× 28 2.7k
Christie Chang United States 11 2.9k 1.6× 505 1.1× 279 1.5× 315 1.9× 223 1.4× 13 3.5k
Martina Kutmon Netherlands 17 1.4k 0.8× 176 0.4× 325 1.8× 218 1.3× 138 0.9× 51 2.1k
Jérôme Wojcik Switzerland 18 1.8k 1.0× 238 0.5× 68 0.4× 222 1.4× 109 0.7× 41 2.6k
Lara O’Donnell Canada 6 2.5k 1.3× 381 0.8× 259 1.4× 254 1.6× 344 2.2× 7 2.9k

Countries citing papers authored by Luana Licata

Since Specialization
Citations

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

Fields of papers citing papers by Luana Licata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luana Licata

This figure shows the co-authorship network connecting the top 25 collaborators of Luana Licata. A scholar is included among the top collaborators of Luana Licata 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 Luana Licata. Luana Licata 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.
Surdo, Prisca Lo, Marta Iannuccelli, Klas Karis, et al.. (2025). SIGNOR 4.0: the 2025 update with focus on phosphorylation data. Nucleic Acids Research. 54(D1). D682–D690. 1 indexed citations
2.
Panneerselvam, Kalpana, Krishna Kumar Tiwari, Luana Licata, et al.. (2025). Mining Alzheimer's Interactomes, Macromolecular Complexes and Pathways for Drug Discovery. PROTEOMICS. 25(21-22). 102–150.
3.
Oostrum, Marc van, Danish Memon, Fabian Frommelt, et al.. (2025). A tissue-specific atlas of protein–protein associations enables prioritization of candidate disease genes. Nature Biotechnology. 4 indexed citations
5.
Panneerselvam, Kalpana, Pablo Porras, Margaret Duesbury, et al.. (2023). The landscape of microRNA interaction annotation: analysis of three rare disorders as a case study. Database. 2023. 3 indexed citations
6.
Perfetto, Livia, Elisa Micarelli, Marta Iannuccelli, et al.. (2021). A Resource for the Network Representation of Cell Perturbations Caused by SARS-CoV-2 Infection. Genes. 12(3). 450–450. 4 indexed citations
7.
Palma, Alessandro, Marta Iannuccelli, Luana Licata, et al.. (2021). Integrating Patient-Specific Information into Logic Models of Complex Diseases: Application to Acute Myeloid Leukemia. Journal of Personalized Medicine. 11(2). 117–117. 5 indexed citations
8.
Perfetto, Livia, Chiara Pastrello, Noemí del‐Toro, et al.. (2020). The IMEx coronavirus interactome: an evolving map of Coronaviridae –host molecular interactions. Database. 2020. 25 indexed citations
9.
Perfetto, Livia, Márcio Luís Acencio, Glyn Bradley, et al.. (2019). CausalTAB: the PSI-MITAB 2.8 updated format for signalling data representation and dissemination. Bioinformatics. 35(19). 3779–3785. 20 indexed citations
10.
Palma, Alessandro, Andrea Cerquone Perpetuini, Claudia Fuoco, et al.. (2019). Myo-REG: A Portal for Signaling Interactions in Muscle Regeneration. Frontiers in Physiology. 10. 1216–1216. 9 indexed citations
11.
Surdo, Prisca Lo, Alberto Calderone, Marta Iannuccelli, et al.. (2017). DISNOR: a disease network open resource. Nucleic Acids Research. 46(D1). D527–D534. 31 indexed citations
12.
Famà, Fausto, et al.. (2016). Late recurrent cutaneous breast angiosarcoma in an elderly woman: A case report. Oncology Letters. 11(5). 3247–3250. 1 indexed citations
13.
Licata, Luana & Sandra Orchard. (2016). The MIntAct Project and Molecular Interaction Databases. Methods in molecular biology. 1415. 55–69. 13 indexed citations
14.
Ieni, Antonio, Valeria Barresi, Luana Licata, et al.. (2016). The micropapillary/hobnail variant of papillary thyroid carcinoma: A review of series described in the literature compared to a series from one southern Italy pathology institution. Reviews in Endocrine and Metabolic Disorders. 17(4). 521–527. 32 indexed citations
15.
Marino, Fabio, et al.. (2016). Angioleiomyoma in a conger (Conger conger). Diseases of Aquatic Organisms. 119(1). 85–89. 16 indexed citations
16.
Licata, Luana, et al.. (2014). Clear Cell Sarcoma Of Metatarsus. Folia Medica. 56(4). 271–274. 5 indexed citations
17.
Licata, Luana, Leonardo Briganti, Daniele Peluso, et al.. (2011). MINT, the molecular interaction database: 2012 update. Nucleic Acids Research. 40(D1). D857–D861. 792 indexed citations breakdown →
18.
Carducci, Martina, Luana Licata, Daniele Peluso, Luisa Castagnoli, & Gianni Cesareni. (2009). Enriching the viral–host interactomes with interactions mediated by SH3 domains. Amino Acids. 38(5). 1541–1547. 6 indexed citations
19.
Savettieri, Giovanni, Italia Di Liegro, Caterina Catania, et al.. (2000). Neurons and ECM regulate occludin localization in brain endothelial cells. Neuroreport. 11(5). 1081–1084. 95 indexed citations
20.
Gadducci, Angiolo, M Ferdeghini, Luana Licata, et al.. (1990). The combined evaluation of ultrasound, serum CA125 assay and serum CA19-9 assay in discriminating a benign from a malignant ovarian mass.. CINECA IRIS Institutial research information system (University of Pisa). 3(5). 252–257. 1 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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