Giacomo Finocchiaro

604 total citations
9 papers, 487 citations indexed

About

Giacomo Finocchiaro is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Giacomo Finocchiaro has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Artificial Intelligence. Recurrent topics in Giacomo Finocchiaro's work include Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (4 papers) and Machine Learning in Bioinformatics (2 papers). Giacomo Finocchiaro is often cited by papers focused on Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (4 papers) and Machine Learning in Bioinformatics (2 papers). Giacomo Finocchiaro collaborates with scholars based in Italy. Giacomo Finocchiaro's co-authors include Ernesto Guccione, Laura Tizzoni, Clara Nervi, Loris Bernard, Bruno Amati, Giuseppe Zardo, Lucilla Luzi, Piero Fariselli, Rita Casadio and Heiko Müller and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Nature Cell Biology.

In The Last Decade

Giacomo Finocchiaro

9 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giacomo Finocchiaro Italy	8	447	67	46	45	24	9	487
David Piñeyro Spain	12	435 1.0×	116 1.7×	56 1.2×	38 0.8×	18 0.8×	23	514
Eva Matoulková Czechia	4	262 0.6×	68 1.0×	43 0.9×	30 0.7×	30 1.3×	6	347
Malini Mansharamani United States	9	417 0.9×	65 1.0×	30 0.7×	47 1.0×	71 3.0×	11	507
Nader Ezzeddine United States	10	700 1.6×	120 1.8×	47 1.0×	35 0.8×	21 0.9×	11	759
Cristina Tous Spain	14	674 1.5×	56 0.8×	80 1.7×	70 1.6×	43 1.8×	21	732
Keith E. Giles United States	13	506 1.1×	74 1.1×	33 0.7×	68 1.5×	14 0.6×	14	531
Zishuo Yu China	10	457 1.0×	33 0.5×	44 1.0×	36 0.8×	19 0.8×	11	520
Shashank Hambarde United States	12	347 0.8×	60 0.9×	74 1.6×	18 0.4×	23 1.0×	22	426
Cyrille Girard Germany	12	687 1.5×	69 1.0×	24 0.5×	26 0.6×	26 1.1×	14	738
Lynn Lehmann United States	8	317 0.7×	26 0.4×	44 1.0×	47 1.0×	76 3.2×	9	406

Countries citing papers authored by Giacomo Finocchiaro

Since Specialization

Citations

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

Fields of papers citing papers by Giacomo Finocchiaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Finocchiaro

This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Finocchiaro. A scholar is included among the top collaborators of Giacomo Finocchiaro 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 Giacomo Finocchiaro. Giacomo Finocchiaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Finocchiaro, Giacomo, Francesco M. Mancuso, Davide Cittaro, & Heiko Müller. (2007). Graph-based identification of cancer signaling pathways from published gene expression signatures using PubLiME. Nucleic Acids Research. 35(7). 2343–2355. 15 indexed citations

Finocchiaro, Giacomo, et al.. (2007). Localizing hotspots of antisense transcription. Nucleic Acids Research. 35(5). 1488–1500. 26 indexed citations

Finocchiaro, Giacomo, et al.. (2006). Lap2α Expression is Controlled by E2F and Deregulated in Various Human Tumors. Cell Cycle. 5(12). 1331–1341. 27 indexed citations

Guccione, Ernesto, Giacomo Finocchiaro, Lucilla Luzi, et al.. (2006). Myc-binding-site recognition in the human genome is determined by chromatin context. Nature Cell Biology. 8(7). 764–770. 299 indexed citations

Finocchiaro, Giacomo, Francesco M. Mancuso, & Heiko Müller. (2005). Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical role in cell-cycle control. BMC Bioinformatics. 6(S4). S14–S14. 19 indexed citations

Finocchiaro, Giacomo, et al.. (2004). GenePicker: replicate analysis of Affymetrix gene expression microarrays. Bioinformatics. 20(18). 3670–3672. 13 indexed citations

Fariselli, Piero, Giacomo Finocchiaro, & Rita Casadio. (2003). SPEPlip: the detection of signal peptide and lipoprotein cleavage sites. Bioinformatics. 19(18). 2498–2499. 53 indexed citations

Guffanti, Alessandro, Giacomo Finocchiaro, James F. Reid, et al.. (2003). Automated DNA chip annotation tables at IFOM: the importance of synchronisation and cross-referencing of sequence databases.. PubMed. 2(4). 245–9. 2 indexed citations

Casadio, Rita, Piero Fariselli, Giacomo Finocchiaro, & Pier Luigi Martelli. (2003). Fishing new proteins in the twilight zone of genomes: The test case of outer membrane proteins in Escherichia coli K12, Escherichia coli O157:H7, and other Gram‐negative bacteria. Protein Science. 12(6). 1158–1168. 33 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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