Michele Maffia

4.6k total citations
140 papers, 3.6k citations indexed

About

Michele Maffia is a scholar working on Molecular Biology, Oncology and Aquatic Science. According to data from OpenAlex, Michele Maffia has authored 140 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 17 papers in Oncology and 15 papers in Aquatic Science. Recurrent topics in Michele Maffia's work include Aquaculture Nutrition and Growth (15 papers), RNA Interference and Gene Delivery (10 papers) and Trace Elements in Health (10 papers). Michele Maffia is often cited by papers focused on Aquaculture Nutrition and Growth (15 papers), RNA Interference and Gene Delivery (10 papers) and Trace Elements in Health (10 papers). Michele Maffia collaborates with scholars based in Italy, France and United States. Michele Maffia's co-authors include Daniele Vergara, Carlo Storelli, Emanuela Urso, Raffaele Acierno, Pasquale Simeone, Stefano Leporatti, Andrea Tinelli, Antonio Danieli, Tiziano Verri and Antonia Rizzello and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Michele Maffia

133 papers receiving 3.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michele Maffia 1.6k 520 418 379 346 140 3.6k
Tomoko Okada 2.1k 1.4× 550 1.1× 551 1.3× 210 0.6× 270 0.8× 135 3.6k
Song Ja Kim 1.7k 1.1× 332 0.6× 506 1.2× 170 0.4× 285 0.8× 157 4.1k
Yoshinori Fujimoto 3.5k 2.2× 356 0.7× 503 1.2× 122 0.3× 220 0.6× 435 8.2k
Ganji Purnachandra Nagaraju 2.3k 1.5× 1.2k 2.3× 1.0k 2.5× 444 1.2× 665 1.9× 157 5.4k
Swadesh K. Das 3.2k 2.0× 1.6k 3.1× 1.0k 2.5× 393 1.0× 858 2.5× 153 6.3k
Qiang Hao 1.8k 1.1× 409 0.8× 765 1.8× 65 0.2× 784 2.3× 124 3.3k
Kyung‐Sook Chung 2.6k 1.6× 414 0.8× 477 1.1× 75 0.2× 285 0.8× 223 4.8k
Yuqi Wang 2.2k 1.4× 234 0.5× 335 0.8× 54 0.1× 394 1.1× 237 4.1k
Binghua Jiao 1.9k 1.2× 233 0.4× 680 1.6× 163 0.4× 287 0.8× 155 3.5k

Countries citing papers authored by Michele Maffia

Since Specialization
Citations

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

Fields of papers citing papers by Michele Maffia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Maffia

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Maffia. A scholar is included among the top collaborators of Michele Maffia 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 Michele Maffia. Michele Maffia 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.
Quarta, Stefano, Nadia Calabriso, Maria Annunziata Carluccio, et al.. (2025). Anti‐Inflammatory Role of Myo‐Inositol in Obesity: Suppression of TNF‐α‐Induced Inflammation and Monocyte Adhesion in Hypertrophic Human Adipocytes. Food Science & Nutrition. 13(9). e70962–e70962.
2.
Greco, Marco, Daniele Vergara, Andrés F. Muro, et al.. (2025). β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations. Advanced Biology. 9(3). e2400408–e2400408. 3 indexed citations
3.
Loglisci, Giuseppina, et al.. (2024). Association of JAK2 Haplotype GGCC_46/1 with the Response to Onco-Drug in MPNs Patients Positive for JAK2V617F Mutation. SHILAP Revista de lepidopterología. 4(3). 241–256.
4.
5.
Carluccio, Maria Annunziata, Rosanna Martinelli, Marika Massaro, et al.. (2021). Nutrigenomic Effect of Hydroxytyrosol in Vascular Endothelial Cells: A Transcriptomic Profile Analysis. Nutrients. 13(11). 3990–3990. 16 indexed citations
6.
Cardon, Tristan, Maxence Wisztorski, Isabelle Fournier, et al.. (2021). Protein Kinase C Activation Drives a Differentiation Program in an Oligodendroglial Precursor Model through the Modulation of Specific Biological Networks. International Journal of Molecular Sciences. 22(10). 5245–5245. 6 indexed citations
7.
Vergara, Daniele, Tiziano Verri, Marco Trerotola, et al.. (2020). A Hidden Human Proteome Signature Characterizes the Epithelial Mesenchymal Transition Program. Current Pharmaceutical Design. 26(3). 372–375. 9 indexed citations
8.
Longo, Serena, Marcello Chieppa, Chiara Spinelli, et al.. (2020). New Insights into Inflammatory Bowel Diseases from Proteomic and Lipidomic Studies. Proteomes. 8(3). 18–18. 13 indexed citations
9.
Coco, Laura Del, Daniele Vergara, Serena De Matteis, et al.. (2019). NMR-Based Metabolomic Approach Tracks Potential Serum Biomarkers of Disease Progression in Patients with Type 2 Diabetes Mellitus. Journal of Clinical Medicine. 8(5). 720–720. 52 indexed citations
10.
Vergara, Daniele, Annamaria Nigro, Alessandro Romano, et al.. (2019). Distinct Protein Expression Networks are Activated in Microglia Cells after Stimulation with IFN-γ and IL-4. Cells. 8(6). 580–580. 18 indexed citations
11.
Lunetti, Paola, Mariangela Di Giacomo, Daniele Vergara, et al.. (2019). Metabolic reprogramming in breast cancer results in distinct mitochondrial bioenergetics between luminal and basal subtypes. FEBS Journal. 286(4). 688–709. 75 indexed citations
12.
Vergara, Daniele, Stefania De Domenico, Andrea Tinelli, et al.. (2017). Anticancer effects of novel resveratrol analogues on human ovarian cancer cells. Molecular BioSystems. 13(6). 1131–1141. 27 indexed citations
13.
Vergara, Daniele, Pasquale Simeone, Serena De Matteis, et al.. (2015). Comparative proteomic profiling of Hodgkin lymphoma cell lines. Molecular BioSystems. 12(1). 219–232. 10 indexed citations
14.
Mancarella, Serena, Valentina Greco, Francesca Baldassarre, et al.. (2015). Polymer‐Coated Magnetic Nanoparticles for Curcumin Delivery to Cancer Cells. Macromolecular Bioscience. 15(10). 1365–1374. 58 indexed citations
15.
Moschetta, Michele, Maria Antonia Frassanito, Simona Berardi, et al.. (2014). A HGF/cMET Autocrine Loop Is Operative in Multiple Myeloma Bone Marrow Endothelial Cells and May Represent a Novel Therapeutic Target. Clinical Cancer Research. 20(22). 5796–5807. 53 indexed citations
16.
Tommaso, Silvia Di, Serafina Massari, Antonio Malvası, et al.. (2014). Selective genetic analysis of myoma pseudocapsule and potential biological impact on uterine fibroid medical therapy. Expert Opinion on Therapeutic Targets. 19(1). 7–12. 10 indexed citations
17.
Vergara, Daniele, Pasquale Simeone, Piero Del Boccio, et al.. (2012). Comparative proteome profiling of breast tumor cell lines by gel electrophoresis and mass spectrometry reveals an epithelial mesenchymal transition associated protein signature. Molecular BioSystems. 9(6). 1127–1138. 28 indexed citations
18.
Vergara, Daniele, Pasquale Simeone, Piero Del Boccio, et al.. (2012). Resveratrol downregulates Akt/GSK and ERK signalling pathways in OVCAR-3 ovarian cancer cells. Molecular BioSystems. 8(4). 1078–1087. 80 indexed citations
19.
Prato, Ermelinda, Antonio Danieli, Michele Maffia, & Francesca Biandolino. (2010). Lipid and Fatty Acid Compositions of Mytilus galloprovincialis Cultured in the Mar Grande of Taranto (Southern Italy): Feeding Strategies and Trophic Relationships. Zoological studies. 49(2). 211–219. 81 indexed citations
20.

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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