Fabio Barassi

1.8k total citations · 1 hit paper
12 papers, 1.5k citations indexed

About

Fabio Barassi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fabio Barassi has authored 12 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Fabio Barassi's work include Cancer-related Molecular Pathways (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Breast Lesions and Carcinomas (2 papers). Fabio Barassi is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Breast Lesions and Carcinomas (2 papers). Fabio Barassi collaborates with scholars based in Italy, United States and India. Fabio Barassi's co-authors include Fiamma Buttitta, Lara Felicioni, Simona Salvatore, Antonio Marchetti, Antonio Chella, Felice Mucilli, Andrea Mezzetti, Rocco Sacco, Carla Martella and Pierpaolo Camplese and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Fabio Barassi

12 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EGFR Mutations in Non–Small-Cell Lung Cancer: Analysis of a Large Series of Cases and Development of a Rapid and Sensitive Method for Diagnostic Screening With Potential Implications on Pharmacologic Treatment

2005 670 citations Antonio Marchetti, Carla Martella et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Barassi Italy	12	898	850	710	374	93	12	1.5k
Ana M. Borras United States	12	866 1.0×	979 1.2×	600 0.8×	234 0.6×	48 0.5×	14	1.5k
Pang‐Dian Fan United States	15	679 0.8×	617 0.7×	596 0.8×	276 0.7×	36 0.4×	25	1.3k
Aleksandra Markovets United States	3	999 1.1×	825 1.0×	869 1.2×	652 1.7×	82 0.9×	6	1.7k
Maela Del Grammastro Italy	9	839 0.9×	646 0.8×	569 0.8×	523 1.4×	83 0.9×	10	1.3k
Jeonghee Cho South Korea	18	422 0.5×	518 0.6×	685 1.0×	343 0.9×	47 0.5×	31	1.2k
Daniel C. Cho United States	21	805 0.9×	881 1.0×	851 1.2×	381 1.0×	59 0.6×	61	1.7k
Alex Pearson United Kingdom	9	823 0.9×	918 1.1×	470 0.7×	537 1.4×	219 2.4×	16	1.5k
Lauren Ambrogio United States	5	1.1k 1.3×	906 1.1×	852 1.2×	157 0.4×	137 1.5×	6	1.9k
Reika Iwakawa Japan	19	525 0.6×	675 0.8×	808 1.1×	394 1.1×	34 0.4×	22	1.4k
Rocco Sacco Italy	11	877 1.0×	658 0.8×	392 0.6×	255 0.7×	28 0.3×	12	1.2k

Countries citing papers authored by Fabio Barassi

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Barassi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Barassi

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

All Works

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12 of 12 papers shown

Marchetti, Antonio, Lara Felicioni, Giuseppe Pelosi, et al.. (2008). Frequent mutations in the neurotrophic tyrosine receptor kinase gene family in large cell neuroendocrine carcinoma of the lung. Human Mutation. 29(5). 609–616. 59 indexed citations

Barbareschi, Mattia, Fiamma Buttitta, Lara Felicioni, et al.. (2007). Different Prognostic Roles of Mutations in the Helical and Kinase Domains of the PIK3CA Gene in Breast Carcinomas. Clinical Cancer Research. 13(20). 6064–6069. 156 indexed citations

Buttitta, Fiamma, Fabio Barassi, Lara Felicioni, et al.. (2006). Mutational analysis of the HER2 gene in lung tumors from Caucasian patients: Mutations are mainly present in adenocarcinomas with bronchioloalveolar features. International Journal of Cancer. 119(11). 2586–2591. 147 indexed citations

Giglio, Simona, Francesca Mancini, Lara Felicioni, et al.. (2005). Identification of an Aberrantly Spliced Form of HDMX in Human Tumors: A New Mechanism for HDM2 Stabilization. Cancer Research. 65(21). 9687–9694. 47 indexed citations

Buttitta, Fiamma, Lara Felicioni, Fabio Barassi, et al.. (2005). PIK3CA mutation and histological type in breast carcinoma: high frequency of mutations in lobular carcinoma. The Journal of Pathology. 208(3). 350–355. 86 indexed citations

Marchetti, Antonio, Carla Martella, Lara Felicioni, et al.. (2005). EGFR Mutations in Non–Small-Cell Lung Cancer: Analysis of a Large Series of Cases and Development of a Rapid and Sensitive Method for Diagnostic Screening With Potential Implications on Pharmacologic Treatment. Journal of Clinical Oncology. 23(4). 857–865. 670 indexed citations breakdown →

Buttitta, Fiamma, Carla Martella, Fabio Barassi, et al.. (2005). Int6 Expression Can Predict Survival in Early-Stage Non–Small Cell Lung Cancer Patients. Clinical Cancer Research. 11(9). 3198–3204. 42 indexed citations

Marchetti, Antonio, Fabio Barassi, Carla Martella, et al.. (2004). Down Regulation of High in Normal-1 ( HIN-1 ) is a Frequent Event in Stage I Non-Small Cell Lung Cancer and Correlates with Poor Clinical Outcome. Clinical Cancer Research. 10(4). 1338–1343. 26 indexed citations

Falleni, Monica, Caterina Pellegrini, Antonio Marchetti, et al.. (2003). Survivin gene expression in early‐stage non‐small cell lung cancer. The Journal of Pathology. 200(5). 620–626. 136 indexed citations

10.

Buttitta, Fiamma, Caterina Pellegrini, Antonio Marchetti, et al.. (2003). Human Telomerase Reverse Transcriptase mRNA Expression Assessed by Real-Time Reverse Transcription Polymerase Chain Reaction Predicts Chemosensitivity in Patients With Ovarian Carcinoma. Journal of Clinical Oncology. 21(7). 1320–1325. 23 indexed citations

11.

Marchetti, Antonio, Caterina Pellegrini, Fiamma Buttitta, et al.. (2002). Prediction of Survival in Stage I Lung Carcinoma Patients by Telomerase Function Evaluation. Laboratory Investigation. 82(6). 729–736. 41 indexed citations

12.

Marchetti, Antonio, Fiamma Buttitta, Gloria Bertacca, et al.. (2001). mRNA markers of breast cancer nodal metastases: comparison between mammaglobin and carcinoembryonic antigen in 248 patients. The Journal of Pathology. 195(2). 186–190. 35 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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