Luca Fantoni

1.3k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Luca Fantoni is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Luca Fantoni has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Luca Fantoni's work include Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Vascular Tumors and Angiosarcomas (1 paper). Luca Fantoni is often cited by papers focused on Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Vascular Tumors and Angiosarcomas (1 paper). Luca Fantoni collaborates with scholars based in Italy, France and Germany. Luca Fantoni's co-authors include Stefano Ballestri, Marco Bertolotti, Adriano Pinetti, Claudia Anzivino, Sebastiano Banni, Nicola Carulli, Maria Rosaria Odoardi, Lucia Carulli, Amedeo Lonardo and Matteo Ricchi and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Luca Fantoni

8 papers receiving 1.0k citations

Hit Papers

Differential effect of oleic and palmitic acid on lipid a... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Fantoni Italy 8 445 308 187 150 119 8 1.0k
Rajender K. Chawla United States 21 540 1.2× 280 0.9× 151 0.8× 194 1.3× 119 1.0× 47 1.5k
Chandrahasa R. Yellaturu United States 13 521 1.2× 179 0.6× 31 0.2× 110 0.7× 80 0.7× 15 949
Winnie Luu Australia 15 655 1.5× 111 0.4× 114 0.6× 72 0.5× 90 0.8× 21 1.1k
Laura Conde de la Rosa United States 18 515 1.2× 458 1.5× 118 0.6× 244 1.6× 65 0.5× 23 1.3k
Long Jia China 16 698 1.6× 257 0.8× 102 0.5× 188 1.3× 214 1.8× 21 1.3k
C L Kiang United States 11 784 1.8× 170 0.6× 76 0.4× 191 1.3× 80 0.7× 16 1.2k
Zhaoyue Zhang United States 10 726 1.6× 168 0.5× 46 0.2× 66 0.4× 87 0.7× 14 1.2k
Mercedes Vázquez–Chantada United Kingdom 14 770 1.7× 292 0.9× 50 0.3× 122 0.8× 55 0.5× 28 1.1k
J. Antonie Maassen Netherlands 21 974 2.2× 99 0.3× 66 0.4× 133 0.9× 85 0.7× 42 1.3k
Thomas Porstmann Switzerland 8 1.1k 2.5× 244 0.8× 41 0.2× 109 0.7× 145 1.2× 10 1.7k

Countries citing papers authored by Luca Fantoni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Fantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Fantoni

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

All Works

8 of 8 papers shown
1.
Monari, Emanuela, Christian Casali, Aurora Cuoghi, et al.. (2011). Enriched sera protein profiling for detection of non-small cell lung cancer biomarkers. Proteome Science. 9(1). 55–55. 25 indexed citations
2.
Bellei, Elisa, Aurora Cuoghi, Emanuela Monari, et al.. (2011). Proteomic analysis of urine in medication-overuse headache patients: possible relation with renal damages. The Journal of Headache and Pain. 13(1). 45–52. 18 indexed citations
3.
Bellei, Elisa, Stefania Bergamini, Emanuela Monari, et al.. (2010). High-abundance proteins depletion for serum proteomic analysis: concomitant removal of non-targeted proteins. Amino Acids. 40(1). 145–156. 139 indexed citations
4.
Ricchi, Matteo, Maria Rosaria Odoardi, Lucia Carulli, et al.. (2009). Differential effect of oleic and palmitic acid on lipid accumulation and apoptosis in cultured hepatocytes. Journal of Gastroenterology and Hepatology. 24(5). 830–840. 504 indexed citations breakdown →
5.
Benatti, Paolo, Valentina Basile, Daniele Merico, et al.. (2008). A balance between NF-Y and p53 governs the pro- and anti-apoptotic transcriptional response. Nucleic Acids Research. 36(5). 1415–1428. 70 indexed citations
6.
Piccaluga, Pier Paolo, Claudio Agostinelli, Andrea Califano, et al.. (2007). Gene Expression Analysis of Angioimmunoblastic Lymphoma Indicates Derivation from T Follicular Helper Cells and Vascular Endothelial Growth Factor Deregulation. Cancer Research. 67(22). 10703–10710. 182 indexed citations
7.
Campoli, Chiara, Simone Zorzan, Luca Fantoni, et al.. (2007). Photosynthetic Antenna Size in Higher Plants Is Controlled by the Plastoquinone Redox State at the Post-transcriptional Rather than Transcriptional Level. Journal of Biological Chemistry. 282(40). 29457–29469. 63 indexed citations
8.
Magnoni, Cristina, Elena Tenedini, Francesco Ferrari, et al.. (2006). Transcriptional profiles in melanocytes from clinically unaffected skin distinguish the neoplastic growth pattern in patients with melanoma. British Journal of Dermatology. 156(1). 62–71. 11 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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