Luca Nanni

892 total citations
24 papers, 524 citations indexed

About

Luca Nanni is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Luca Nanni has authored 24 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Luca Nanni's work include Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (6 papers) and Genomics and Chromatin Dynamics (5 papers). Luca Nanni is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (6 papers) and Genomics and Chromatin Dynamics (5 papers). Luca Nanni collaborates with scholars based in Italy, Switzerland and Netherlands. Luca Nanni's co-authors include Stefano Ceri, Colin Logie, Pietro Pinoli, Micaela Tiso, R Millo, L. Borgato, Claudio Lunardi, G. De Sandre, Alessandro Moretta and Luigia Morelli and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Luca Nanni

24 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Nanni Italy 12 197 170 89 74 46 24 524
Xi’an Fu China 10 62 0.3× 118 0.7× 75 0.8× 48 0.6× 21 0.5× 34 315
Barbara Cauwelier Belgium 11 265 1.3× 87 0.5× 95 1.1× 22 0.3× 70 1.5× 27 666
Dileep D. Monie United States 10 391 2.0× 88 0.5× 63 0.7× 18 0.2× 28 0.6× 17 627
Shane Lofgren United States 9 377 1.9× 233 1.4× 37 0.4× 16 0.2× 60 1.3× 13 693
Andrey Kartashov United States 18 508 2.6× 424 2.5× 22 0.2× 69 0.9× 57 1.2× 30 1.2k
B.-R. Balda Germany 17 142 0.7× 146 0.9× 44 0.5× 213 2.9× 56 1.2× 57 816
Andreas Jäckel Germany 13 262 1.3× 82 0.5× 29 0.3× 124 1.7× 30 0.7× 28 649
Alessia Gori Italy 16 133 0.7× 91 0.5× 52 0.6× 302 4.1× 43 0.9× 50 688
Magdalena Matusiak United States 11 533 2.7× 352 2.1× 48 0.5× 22 0.3× 101 2.2× 16 837

Countries citing papers authored by Luca Nanni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Nanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Nanni

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Nanni. A scholar is included among the top collaborators of Luca Nanni 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 Nanni. Luca Nanni 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.
2.
Nanni, Luca, Yuanlong Liu, Arvind Iyer, et al.. (2023). Whole-genome doubling drives oncogenic loss of chromatin segregation. Nature. 615(7954). 925–933. 32 indexed citations
3.
Pace, Vanessa De, et al.. (2023). Long follow-up of BNT162b2 mRNA vaccine in healthcare workers (2020–2022): A retrospective longitudinal SARS-CoV-2 serological surveillance. Human Vaccines & Immunotherapeutics. 19(2). 2258632–2258632. 1 indexed citations
4.
Liu, Yuanlong, Luca Nanni, Stéphanie Sungalee, et al.. (2021). Systematic inference and comparison of multi-scale chromatin sub-compartments connects spatial organization to cell phenotypes. Nature Communications. 12(1). 2439–2439. 52 indexed citations
5.
Gotelli, Emanuele, Sabrina Paolino, Giampaola Pesce, et al.. (2021). Antiphospholipid antibodies and anticoagulant therapy: capillaroscopic findings. Arthritis Research & Therapy. 23(1). 175–175. 11 indexed citations
6.
Ferrari, Guido, Emanuele Gotelli, Giampaola Pesce, et al.. (2021). AB0330 ANTIPHOSPHOLIPID ANTIBODIES AND ANTICOAGULANT TREATMENT: CAPILLAROSCOPIC FINDINGS. Annals of the Rheumatic Diseases. 80. 1190–1190. 1 indexed citations
7.
Nanni, Luca, Stefano Ceri, & Colin Logie. (2020). Spatial patterns of CTCF sites define the anatomy of TADs and their boundaries. Genome biology. 21(1). 197–197. 43 indexed citations
8.
Canakoglu, Arif, et al.. (2020). Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 121–134. 20 indexed citations
9.
Wang, Cheng, Luca Nanni, Boris Novakovic, et al.. (2019). Extensive epigenomic integration of the glucocorticoid response in primary human monocytes and in vitro derived macrophages. Scientific Reports. 9(1). 2772–2772. 28 indexed citations
10.
Nanni, Luca, Pietro Pinoli, Arif Canakoglu, & Stefano Ceri. (2019). PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets. BMC Bioinformatics. 20(1). 560–560. 13 indexed citations
11.
Masseroli, Marco, Arif Canakoglu, Pietro Pinoli, et al.. (2018). Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data. Bioinformatics. 35(5). 729–736. 35 indexed citations
12.
Nanni, Luca, Pietro Pinoli, Arif Canakoglu, & Stefano Ceri. (2018). Exploring Genomic Datasets. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 1 indexed citations
13.
Pinoli, Pietro, Stefano Ceri, Davide Martinenghi, & Luca Nanni. (2018). Metadata management for scientific databases. Information Systems. 81. 1–20. 14 indexed citations
14.
Nanni, Luca. (2017). A Python data analysis library for genomics and its application to biology. 1 indexed citations
15.
Iacoviello, Licia, Branislav Vohnout, Francesco Gianfagna, et al.. (2009). Genetic regulation of inflammation-mediated haemostasis activation: a family-based approach. Journal of Thrombosis and Haemostasis. 7. 1 indexed citations
16.
Lunardi, Claudio, Luca Nanni, Micaela Tiso, et al.. (2000). Glycine-rich cell wall proteins act as specific antigen targets in autoimmune and food allergic disorders. International Immunology. 12(5). 647–657. 10 indexed citations
17.
Lunardi, Claudio, Micaela Tiso, L. Borgato, et al.. (1998). Chronic parvovirus B19 infection induces the production of anti-virus antibodies with autoantigen binding properties. European Journal of Immunology. 28(3). 936–948. 100 indexed citations
18.
Mingari, Maria Cristina, M. Ponte, Chiara Vitale, et al.. (1997). HLA class-I-specific inhibitory receptor in human T lymphocytes: Interference with T-cell functions. Research in Immunology. 148(3). 150–155. 3 indexed citations
19.
Poggi, Alessandro, Paola Costa, Luigia Morelli, et al.. (1996). Expression of human NKRP1A by CD34+ immature thymocytes: NKRP1A‐mediated regulation of proliferation and cytolytic activity. European Journal of Immunology. 26(6). 1266–1272. 47 indexed citations
20.
Ciccone, Ermanno, Daniela Pende, Massimo Vitale, et al.. (1994). Self class I molecules protect normal cells from lysis mediated by autologous natural killer cells. European Journal of Immunology. 24(4). 1003–1006. 84 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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