Antonino Neri

24.3k total citations · 2 hit papers
410 papers, 14.5k citations indexed

About

Antonino Neri is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Antonino Neri has authored 410 papers receiving a total of 14.5k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Molecular Biology, 167 papers in Hematology and 142 papers in Oncology. Recurrent topics in Antonino Neri's work include Multiple Myeloma Research and Treatments (132 papers), Chronic Lymphocytic Leukemia Research (95 papers) and Lymphoma Diagnosis and Treatment (76 papers). Antonino Neri is often cited by papers focused on Multiple Myeloma Research and Treatments (132 papers), Chronic Lymphocytic Leukemia Research (95 papers) and Lymphoma Diagnosis and Treatment (76 papers). Antonino Neri collaborates with scholars based in Italy, United States and Switzerland. Antonino Neri's co-authors include Riccardo Dalla‐Favera, Luca Baldini, Luca Agnelli, Katia Todoerti, Sonia Fabris, Luigia Lombardi, Giorgio Inghirami, Pierfrancesco Tassone, Domenica Ronchetti and Marta Lionetti and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Antonino Neri

396 papers receiving 14.2k 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.

p53 mutations in human lymphoid malignancies: association with Burkitt lymphoma and chronic lymphocytic leukemia.

1991 746 citations Antonino Neri et al. profile →
Gene Expression Profiling of B Cell Chronic Lymphocytic Leukemia Reveals a Homogeneous Phenotype Related to Memory B Cells

2001 704 citations Michela Mattioli, Luca Baldini et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonino Neri Italy	64	7.9k	4.7k	3.8k	3.7k	3.5k	410	14.5k
Julie Teruya‐Feldstein United States	77	13.1k 1.7×	7.6k 1.6×	2.1k 0.6×	4.2k 1.1×	5.5k 1.5×	216	22.2k
Brigitte Schlegelberger Germany	66	7.8k 1.0×	2.9k 0.6×	6.7k 1.7×	2.6k 0.7×	2.6k 0.8×	395	16.3k
Stephen D. Nimer United States	64	7.5k 0.9×	3.4k 0.7×	6.8k 1.8×	2.4k 0.7×	1000 0.3×	239	14.6k
Dolors Colomer Spain	60	5.1k 0.6×	3.1k 0.7×	2.7k 0.7×	4.4k 1.2×	911 0.3×	280	12.0k
P. Leif Bergsagel United States	68	12.0k 1.5×	5.6k 1.2×	10.1k 2.6×	1.7k 0.5×	1.8k 0.5×	270	16.8k
Jonathan E. Kolitz United States	61	5.2k 0.7×	2.3k 0.5×	6.6k 1.7×	4.0k 1.1×	1.4k 0.4×	256	14.4k
R. S. K. Chaganti United States	60	6.7k 0.8×	3.6k 0.8×	1.5k 0.4×	3.7k 1.0×	2.0k 0.6×	199	14.5k
Ilan R. Kirsch United States	59	5.7k 0.7×	3.7k 0.8×	1.9k 0.5×	2.4k 0.6×	1.3k 0.4×	141	11.8k
Laura Z. Rassenti United States	58	11.9k 1.5×	2.3k 0.5×	1.6k 0.4×	4.7k 1.3×	8.2k 2.3×	217	20.0k
Giorgio Inghirami United States	69	6.1k 0.8×	8.0k 1.7×	1.2k 0.3×	5.9k 1.6×	2.1k 0.6×	268	16.8k

Countries citing papers authored by Antonino Neri

Since Specialization

Citations

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

Fields of papers citing papers by Antonino Neri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonino Neri

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

All Works

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20 of 20 papers shown

Bruzzese, Antonella, Ernesto Vigna, Enrica Antonia Martino, et al.. (2025). TP53 ‐Mutated Acute Myeloid Leukemia: Unanswered Questions. Hematological Oncology. 43(4). e70106–e70106.

Cantafio, Maria Eugenia Gallo, Carmela De Marco, Maria Antonietta Occhiuzzi, et al.. (2024). Targeting of mitochondrial fission through natural flavanones elicits anti-myeloma activity. Journal of Translational Medicine. 22(1). 208–208. 10 indexed citations

Rossi, Jessica, Francesco Cavallieri, Maria Chiara Bassi, et al.. (2024). To be or not to be: The dilemma over the prognostic role of epilepsy at presentation in patients with glioblastoma – a systematic review and meta-analysis. BMC Cancer. 24(1). 1488–1488. 1 indexed citations

Mangone, Lucìa, et al.. (2024). A Population-Based Analysis of the Cancer Incidence in Individuals under 50 in a Northern Italian Province: Focusing on Regional Disparities and Public Health Implications. International Journal of Environmental Research and Public Health. 21(10). 1333–1333.

Mangone, Lucìa, Maurizio Zizzo, Maria Banzi, et al.. (2024). Impact of Multidisciplinary Team Management on Survival and Recurrence in Stage I–III Colorectal Cancer: A Population-Based Study in Northern Italy. Biology. 13(11). 928–928. 4 indexed citations

Donati, Benedetta, Francesca Reggiani, Federica Torricelli, et al.. (2023). Spatial Distribution of Immune Cells Drives Resistance to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Cancer Immunology Research. 12(1). 120–134. 10 indexed citations

Ronchetti, Domenica, Ilaria Silvestris, G. Fabbiano, et al.. (2023). <i>DIS3</i> depletion in multiple myeloma causes extensive perturbation in cell cycle progression and centrosome amplification. Haematologica. 109(1). 231–244. 5 indexed citations

Mereu, Elisabetta, et al.. (2023). Euchromatic Histone Lysine Methyltransferase 2 Inhibition Enhances Carfilzomib Sensitivity and Overcomes Drug Resistance in Multiple Myeloma Cell Lines. Cancers. 15(8). 2199–2199. 6 indexed citations

Platonova, Natalia, Elisa Lazzari, M. Colombo, et al.. (2023). The Potential of JAG Ligands as Therapeutic Targets and Predictive Biomarkers in Multiple Myeloma. International Journal of Molecular Sciences. 24(19). 14558–14558. 1 indexed citations

10.

Bruzzese, Antonella, Ernesto Vigna, Enrica Antonia Martino, et al.. (2023). Myelodysplastic syndromes with ring sideroblasts. Hematological Oncology. 41(4). 612–620. 1 indexed citations

11.

Giannoni, Paolo, Cecilia Marini, Giovanna Cutrona, et al.. (2022). A High Percentage of CD16+ Monocytes Correlates with the Extent of Bone Erosion in Chronic Lymphocytic Leukemia Patients: The Impact of Leukemic B Cells in Monocyte Differentiation and Osteoclast Maturation. Cancers. 14(23). 5979–5979. 3 indexed citations

12.

Raimondi, Lavinia, Angela De Luca, Gianluca Giavaresi, et al.. (2020). Non-Coding RNAs in Multiple Myeloma Bone Disease Pathophysiology. Non-Coding RNA. 6(3). 37–37. 12 indexed citations

13.

Ronchetti, Domenica, Paola Monti, Giovanna Cutrona, et al.. (2020). NEAT1 Long Isoform Is Highly Expressed in Chronic Lymphocytic Leukemia Irrespectively of Cytogenetic Groups or Clinical Outcome. Non-Coding RNA. 6(1). 11–11. 10 indexed citations

14.

Amodio, Nicola, Maria Angelica Stamato, Annamaria Gullà, et al.. (2016). Therapeutic Targeting of miR-29b/HDAC4 Epigenetic Loop in Multiple Myeloma. Molecular Cancer Therapeutics. 15(6). 1364–1375. 96 indexed citations

15.

Leone, Emanuela, Eugenio Morelli, Maria Teresa Di Martino, et al.. (2013). Targeting miR-21 Inhibits In Vitro and In Vivo Multiple Myeloma Cell Growth. Clinical Cancer Research. 19(8). 2096–2106. 184 indexed citations

16.

Visco, Carlo, Francesco Maura, Giacomo Tuana, et al.. (2012). Immune Thrombocytopenia in Patients with Chronic Lymphocytic Leukemia Is Associated with Stereotyped B-cell Receptors. Clinical Cancer Research. 18(7). 1870–1878. 20 indexed citations

17.

Agnelli, Luca, Mattia Forcato, Francesco Ferrari, et al.. (2011). The Reconstruction of Transcriptional Networks Reveals Critical Genes with Implications for Clinical Outcome of Multiple Myeloma. Clinical Cancer Research. 17(23). 7402–7412. 44 indexed citations

18.

Mosca, Laura, Sonia Fabris, Marta Lionetti, et al.. (2010). Integrative Genomics Analyses Reveal Molecularly Distinct Subgroups of B-Cell Chronic Lymphocytic Leukemia Patients with 13q14 Deletion. Clinical Cancer Research. 16(23). 5641–5653. 38 indexed citations

19.

Ria, Roberto, Katia Todoerti, Simona Berardi, et al.. (2009). Gene Expression Profiling of Bone Marrow Endothelial Cells in Patients with Multiple Myeloma. Clinical Cancer Research. 15(17). 5369–5378. 75 indexed citations

20.

Fracchiolla, Nicola Stefano, Giancarlo Pruneri, Lorenzo Pignataro, et al.. (1997). Molecular and immunohistochemical analysis of thebcl-1/cyclin D1 gene in laryngeal squamous cell carcinomas. Cancer. 79(6). 1114–1121. 44 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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