Graziano Martello

5.8k total citations · 2 hit papers
36 papers, 4.1k citations indexed

About

Graziano Martello is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Graziano Martello has authored 36 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Graziano Martello's work include Pluripotent Stem Cells Research (21 papers), CRISPR and Genetic Engineering (15 papers) and Renal and related cancers (8 papers). Graziano Martello is often cited by papers focused on Pluripotent Stem Cells Research (21 papers), CRISPR and Genetic Engineering (15 papers) and Renal and related cancers (8 papers). Graziano Martello collaborates with scholars based in Italy, United Kingdom and United States. Graziano Martello's co-authors include Stefano Piccolo, Masafumi Inui, Austin Smith, Michelangelo Cordenonsi, Sirio Dupont, Sandra Soligo, Anant Mamidi, Marco Montagner, Stephen Emmott and Sara-Jane Dunn and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Graziano Martello

35 papers receiving 4.1k citations

Hit Papers

MicroRNA control of signa... 2010 2026 2015 2020 2010 2010 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Graziano Martello 3.6k 1.5k 486 267 208 36 4.1k
Ryo Matoba 2.8k 0.8× 622 0.4× 461 0.9× 446 1.7× 193 0.9× 69 3.8k
Richard Mitter 2.6k 0.7× 1.2k 0.8× 801 1.6× 278 1.0× 422 2.0× 57 4.3k
Miller Huang 1.9k 0.5× 690 0.5× 483 1.0× 467 1.7× 304 1.5× 30 2.9k
Ling Yu 1.7k 0.5× 661 0.5× 436 0.9× 387 1.4× 249 1.2× 76 2.8k
Frank Kuhnert 2.0k 0.6× 518 0.4× 449 0.9× 287 1.1× 201 1.0× 32 2.9k
Jasper Mullenders 2.0k 0.6× 440 0.3× 651 1.3× 271 1.0× 192 0.9× 25 2.7k
Håkan Axelson 2.8k 0.8× 1.4k 1.0× 885 1.8× 311 1.2× 512 2.5× 90 4.1k
Richard P. Koche 3.9k 1.1× 589 0.4× 604 1.2× 502 1.9× 321 1.5× 97 4.7k
Ru‐Fang Yeh 1.9k 0.5× 670 0.5× 379 0.8× 310 1.2× 148 0.7× 26 2.7k
Kosuke Akiyama 1.5k 0.4× 761 0.5× 685 1.4× 122 0.5× 260 1.3× 115 2.5k

Countries citing papers authored by Graziano Martello

Since Specialization
Citations

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

Fields of papers citing papers by Graziano Martello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graziano Martello

This figure shows the co-authorship network connecting the top 25 collaborators of Graziano Martello. A scholar is included among the top collaborators of Graziano Martello 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 Graziano Martello. Graziano Martello 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.
Frasson, Ilaria, Elena Carbognin, Antonio Rosato, et al.. (2024). Identification of druggable host dependency factors shared by multiple SARS-CoV-2 variants of concern. Journal of Molecular Cell Biology. 16(3). 1 indexed citations
2.
Martello, Graziano. (2024). The rules of the totipotency treasure hunt. Nature Cell Biology. 26(1). 19–21. 1 indexed citations
3.
Scalise, Stefania, et al.. (2024). Unraveling the impact of ZZZ3 on the mTOR/ribosome pathway in human embryonic stem cells homeostasis. Stem Cell Reports. 19(5). 729–743. 1 indexed citations
4.
Carbognin, Elena, Francesco Panariello, Elena Guerzoni, et al.. (2023). Esrrb guides naive pluripotent cells through the formative transcriptional programme. Nature Cell Biology. 25(5). 643–657. 11 indexed citations
5.
Betto, Riccardo Massimiliano, et al.. (2023). Chemical conversion of human conventional PSCs to TSCs following transient naive gene activation. EMBO Reports. 24(4). e55235–e55235. 8 indexed citations
6.
Dinarello, Alberto, Riccardo Massimiliano Betto, Giacomo Meneghetti, et al.. (2023). STAT3 and HIF1α cooperatively mediate the transcriptional and physiological responses to hypoxia. Cell Death Discovery. 9(1). 226–226. 23 indexed citations
8.
Urciuolo, Anna, Hannah T. Stuart, Cecilia Laterza, et al.. (2022). 3D ECM-rich environment sustains the identity of naive human iPSCs. Cell stem cell. 29(12). 1703–1717.e7. 15 indexed citations
9.
Martini, Paolo, Gabriele Sales, Valentina Perrera, et al.. (2022). BrewerIX enables allelic expression analysis of imprinted and X-linked genes from bulk and single-cell transcriptomes. Communications Biology. 5(1). 146–146. 5 indexed citations
10.
Martello, Graziano, et al.. (2021). PsiNorm: a scalable normalization for single-cell RNA-seq data. Bioinformatics. 38(1). 164–172. 14 indexed citations
11.
Dinarello, Alberto, Giacomo Meneghetti, Riccardo Massimiliano Betto, et al.. (2021). Y705 and S727 are required for the mitochondrial import and transcriptional activities of STAT3, and for regulation of stem cell proliferation. Development. 148(17). 38 indexed citations
12.
Pellegrini, Marco, Danny Incarnato, Mara Maldotti, et al.. (2020). The transcriptional regulator ZNF398 mediates pluripotency and epithelial character downstream of TGF-beta in human PSCs. Nature Communications. 11(1). 2364–2364. 24 indexed citations
13.
Perrera, Valentina & Graziano Martello. (2019). How Does Reprogramming to Pluripotency Affect Genomic Imprinting?. Frontiers in Cell and Developmental Biology. 7. 76–76. 27 indexed citations
14.
Giulitti, Stefano, Marco Pellegrini, Paolo Martini, et al.. (2018). Direct generation of human naive induced pluripotent stem cells from somatic cells in microfluidics. Nature Cell Biology. 21(2). 275–286. 62 indexed citations
15.
Li, Meng Amy, et al.. (2018). A common molecular logic determines embryonic stem cell self‐renewal and reprogramming. The EMBO Journal. 38(1). 27 indexed citations
16.
Carbognin, Elena, Riccardo Massimiliano Betto, María Eugenia Soriano, Austin Smith, & Graziano Martello. (2016). Stat3 promotes mitochondrial transcription and oxidative respiration during maintenance and induction of naive pluripotency. The EMBO Journal. 35(6). 618–634. 140 indexed citations
17.
Stuart, Hannah T., Aliaksandra Radzisheuskaya, Graziano Martello, et al.. (2014). NANOG Amplifies STAT3 Activation and They Synergistically Induce the Naive Pluripotent Program. Current Biology. 24(3). 340–346. 53 indexed citations
18.
Martello, Graziano, Evangelia Diamanti, Anagha Joshi, et al.. (2012). Esrrb Is a Pivotal Target of the Gsk3/Tcf3 Axis Regulating Embryonic Stem Cell Self-Renewal. Cell stem cell. 11(4). 491–504. 305 indexed citations
19.
Martello, Graziano, Antonio Rosato, Francesco Ferrari, et al.. (2010). A MicroRNA Targeting Dicer for Metastasis Control. Cell. 141(7). 1195–1207. 541 indexed citations breakdown →
20.
Cordenonsi, Michelangelo, Marco Montagner, Maddalena Adorno, et al.. (2007). Integration of TGF-ß and Ras/MAPK Signaling Through p53 Phosphorylation. Science. 315(5813). 840–843. 163 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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