Antonio Lentini

2.8k total citations
20 papers, 1.2k citations indexed

About

Antonio Lentini is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Antonio Lentini has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Genetics. Recurrent topics in Antonio Lentini's work include Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (3 papers) and Cancer-related gene regulation (3 papers). Antonio Lentini is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (3 papers) and Cancer-related gene regulation (3 papers). Antonio Lentini collaborates with scholars based in Sweden, United Kingdom and United States. Antonio Lentini's co-authors include Colm E. Nestor, Björn Reinius, Natali Papanicolaou, Mikael Benson, Richard R. Meehan, Ioanna Smyrlaki, Björn Högberg, Jan Albert, Shaman Muradrasoli and Martin Vondracek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Antonio Lentini

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Lentini Sweden 14 764 280 229 162 98 20 1.2k
Daniel Jones United States 16 731 1.0× 154 0.6× 141 0.6× 59 0.4× 212 2.2× 67 1.4k
Jinyun Yuan United States 17 311 0.4× 74 0.3× 235 1.0× 131 0.8× 141 1.4× 32 844
Douglas C. Wu United States 16 598 0.8× 86 0.3× 108 0.5× 264 1.6× 151 1.5× 21 1.1k
Doris Ricotta Italy 20 885 1.2× 61 0.2× 137 0.6× 232 1.4× 193 2.0× 36 1.5k
Lindsey M. Costantini United States 14 690 0.9× 69 0.2× 75 0.3× 95 0.6× 112 1.1× 23 1.1k
Xue‐Zhong Ma Canada 17 399 0.5× 149 0.5× 82 0.4× 398 2.5× 49 0.5× 28 1.1k
Wenjuan Zhang China 17 584 0.8× 220 0.8× 48 0.2× 68 0.4× 81 0.8× 41 988
Evan Krystofiak United States 18 831 1.1× 69 0.2× 108 0.5× 114 0.7× 212 2.2× 47 1.3k
Xueqiu Lin United States 15 1.3k 1.7× 186 0.7× 52 0.2× 73 0.5× 145 1.5× 22 1.6k
Andrew Kim United States 8 846 1.1× 214 0.8× 35 0.2× 317 2.0× 68 0.7× 9 1.3k

Countries citing papers authored by Antonio Lentini

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Lentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Lentini

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Lentini. A scholar is included among the top collaborators of Antonio Lentini 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 Antonio Lentini. Antonio Lentini 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.
Papanicolaou, Natali, Antonio Lentini, Michael Hagemann-Jensen, et al.. (2025). Multi-layered dosage compensation of the avian Z chromosome by increased transcriptional burst frequency and elevated translational rates. Nature Communications. 16(1). 9088–9088.
2.
Smyrlaki, Ioanna, Ferenc Fördős, Yang Wang, et al.. (2024). Soluble and multivalent Jag1 DNA origami nanopatterns activate Notch without pulling force. Nature Communications. 15(1). 465–465. 17 indexed citations
3.
Lundqvist, Christina, Alessandro Camponeschi, Donald A. Goldmann, et al.. (2024). A landscape of X-inactivation during human T cell development. Nature Communications. 15(1). 10527–10527. 1 indexed citations
4.
Calvigioni, Daniela, János Fuzik, Pierre Le Merre, et al.. (2023). Esr1+ hypothalamic-habenula neurons shape aversive states. Nature Neuroscience. 26(7). 1245–1255. 20 indexed citations
5.
Dias, José M., Ekaterina Petrova, Christos Karampelias, et al.. (2023). Multivalent insulin receptor activation using insulin–DNA origami nanostructures. Nature Nanotechnology. 19(2). 237–245. 53 indexed citations
7.
Lentini, Antonio, Natali Papanicolaou, Nathanael Andrews, et al.. (2022). Elastic dosage compensation by X-chromosome upregulation. Nature Communications. 13(1). 1854–1854. 29 indexed citations
8.
Strunz, Benedikt, Iva Filipovic, Egle Kvedaraite, et al.. (2021). Continuous human uterine NK cell differentiation in response to endometrial regeneration and pregnancy. Science Immunology. 6(56). 77 indexed citations
9.
Benson, Mikael, et al.. (2021). TET2 as a tumor suppressor and therapeutic target in T-cell acute lymphoblastic leukemia. Proceedings of the National Academy of Sciences. 118(34). 42 indexed citations
10.
Lentini, Antonio & Colm E. Nestor. (2020). Mapping DNA Methylation in Mammals: The State of the Art. Methods in molecular biology. 2198. 37–50. 5 indexed citations
11.
Henriksson, Pontus, Antonio Lentini, Signe Altmäe, et al.. (2020). DNA methylation in infants with low and high body fatness. BMC Genomics. 21(1). 769–769. 2 indexed citations
12.
Smyrlaki, Ioanna, Martin Ekman, Antonio Lentini, et al.. (2020). Massive and rapid COVID-19 testing is feasible by extraction-free SARS-CoV-2 RT-PCR. Nature Communications. 11(1). 4812–4812. 323 indexed citations
13.
Lentini, Antonio, et al.. (2020). No evidence for DNA N 6 -methyladenine in mammals. Science Advances. 6(12). eaay3335–eaay3335. 95 indexed citations
14.
Meehan, Richard R., John P. Thomson, Antonio Lentini, Colm E. Nestor, & Sari Pennings. (2018). DNA methylation as a genomic marker of exposure to chemical and environmental agents. Current Opinion in Chemical Biology. 45. 48–56. 47 indexed citations
15.
Lentini, Antonio, Svante Vikingsson, Heidi K. Mjoseng, et al.. (2018). A reassessment of DNA-immunoprecipitation-based genomic profiling. Nature Methods. 15(7). 499–504. 76 indexed citations
16.
Doumpas, Nikolaos, Mark D. Robinson, Antonio Lentini, et al.. (2018). TCF / LEF dependent and independent transcriptional regulation of Wnt/β‐catenin target genes. The EMBO Journal. 38(2). 151 indexed citations
17.
Nestor, Colm E., Antonio Lentini, Cathrine Nilsson, et al.. (2016). 5-Hydroxymethylcytosine Remodeling Precedes Lineage Specification during Differentiation of Human CD4+ T Cells. Cell Reports. 16(2). 559–570. 48 indexed citations
18.
Lentini, Antonio, Danuta R. Gawel, Mikael Benson, et al.. (2016). Potential Involvement of Type I Interferon Signaling in Immunotherapy in Seasonal Allergic Rhinitis. Journal of Immunology Research. 2016. 1–6. 4 indexed citations
19.
Nestor, Colm E., Raffaele Ottaviano, Diana Reinhardt, et al.. (2015). Rapid reprogramming of epigenetic and transcriptional profiles in mammalian culture systems. Genome biology. 16(1). 11–11. 129 indexed citations
20.
Nestor, Colm E., Fredrik Barrenäs, Hui Wang, et al.. (2014). DNA Methylation Changes Separate Allergic Patients from Healthy Controls and May Reflect Altered CD4+ T-Cell Population Structure. PLoS Genetics. 10(1). e1004059–e1004059. 60 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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