Antonio Pannuti

3.1k total citations
52 papers, 2.6k citations indexed

About

Antonio Pannuti is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Antonio Pannuti has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Genetics and 9 papers in Oncology. Recurrent topics in Antonio Pannuti's work include Genomics and Chromatin Dynamics (10 papers), Developmental Biology and Gene Regulation (8 papers) and Estrogen and related hormone effects (7 papers). Antonio Pannuti is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), Developmental Biology and Gene Regulation (8 papers) and Estrogen and related hormone effects (7 papers). Antonio Pannuti collaborates with scholars based in United States, Italy and United Kingdom. Antonio Pannuti's co-authors include John C. Lucchesi, Lucio Miele, Paola Rizzo, Barbara A. Osborne, Edwin R. Smith, Weigang Gu, Todd E. Golde, Clodia Osipo, C. David Allis and Richard G. Cook and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Antonio Pannuti

52 papers receiving 2.6k 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 Pannuti United States 26 2.0k 599 471 398 239 52 2.6k
Woojin An United States 33 3.5k 1.7× 515 0.9× 341 0.7× 383 1.0× 215 0.9× 66 3.9k
Ian G. Cowell United Kingdom 29 2.7k 1.3× 778 1.3× 297 0.6× 265 0.7× 215 0.9× 65 3.2k
Jiaxue Wu China 28 2.0k 1.0× 675 1.1× 387 0.8× 350 0.9× 181 0.8× 53 2.6k
Michael P. Kladde United States 29 2.0k 1.0× 340 0.6× 449 1.0× 295 0.7× 221 0.9× 63 2.5k
Simon Knott United States 23 1.5k 0.7× 424 0.7× 203 0.4× 447 1.1× 212 0.9× 44 2.1k
Murray O. Robinson United States 24 2.7k 1.3× 658 1.1× 465 1.0× 199 0.5× 441 1.8× 43 4.1k
Toshiaki Inoue Japan 25 1.6k 0.8× 467 0.8× 309 0.7× 433 1.1× 243 1.0× 62 2.7k
Howard H. Yang United States 28 2.1k 1.1× 562 0.9× 484 1.0× 641 1.6× 208 0.9× 81 2.9k
Chao‐Xing Yuan United States 16 1.9k 0.9× 325 0.5× 601 1.3× 258 0.6× 138 0.6× 25 2.3k
Haiwei Mou United States 18 1.3k 0.6× 283 0.5× 334 0.7× 284 0.7× 188 0.8× 32 2.1k

Countries citing papers authored by Antonio Pannuti

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Pannuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Pannuti

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Pannuti. A scholar is included among the top collaborators of Antonio Pannuti 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 Pannuti. Antonio Pannuti 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.
Sorrentino, Claudia, Fokhrul Hossain, Paulo C. Rodrı́guez, et al.. (2019). Adenosine A2A Receptor Stimulation Inhibits TCR-Induced Notch1 Activation in CD8+T-Cells. Frontiers in Immunology. 10. 162–162. 59 indexed citations
2.
Sega, Francesco Vieceli Dalla, Raffaella Mastrocola, Giorgio Aquila, et al.. (2019). KRIT1 Deficiency Promotes Aortic Endothelial Dysfunction. International Journal of Molecular Sciences. 20(19). 4930–4930. 27 indexed citations
3.
Pannuti, Antonio, Aleksandra Filipović, Chindo Hicks, et al.. (2018). Novel putative drivers revealed by targeted exome sequencing of advanced solid tumors. PLoS ONE. 13(3). e0194790–e0194790. 5 indexed citations
4.
Lawlor, Rebecca, Antonio Pannuti, Gabriela González‐Pérez, et al.. (2018). Notch1 primes CD4 T cells for T helper type I differentiation through its early effects on miR-29. Molecular Immunology. 99. 191–198. 18 indexed citations
5.
Pannella, Micaela, Cristiana Caliceti, Francesca Fortini, et al.. (2016). Serum From Advanced Heart Failure Patients Promotes Angiogenic Sprouting and Affects the Notch Pathway in Human Endothelial Cells. Journal of Cellular Physiology. 231(12). 2700–2710. 17 indexed citations
6.
Pandya, Kinnari, Debra Wyatt, Brian M. Gallagher, et al.. (2015). PKCα Attenuates Jagged-1–Mediated Notch Signaling in ErbB-2–Positive Breast Cancer to Reverse Trastuzumab Resistance. Clinical Cancer Research. 22(1). 175–186. 31 indexed citations
7.
Hicks, Chindo, Ranjit Kumar, Antonio Pannuti, & Lucio Miele. (2012). Integrative Analysis of Response to Tamoxifen Treatment in ER-Positive Breast Cancer Using GWAS Information and Transcription Profiling. Breast Cancer Basic and Clinical Research. 6. BCBCR.S8652–BCBCR.S8652. 13 indexed citations
8.
Gu, Jianwei, Paola Rizzo, Antonio Pannuti, et al.. (2012). Notch signals in the endothelium and cancer "stem-like" cells: opportunities for cancer therapy. PubMed. 4(1). 7–7. 67 indexed citations
9.
Rizzo, Paola, Clodia Osipo, Antonio Pannuti, et al.. (2009). Targeting Notch signaling cross-talk with estrogen receptor and ErbB-2 in breast cancer. Advances in Enzyme Regulation. 49(1). 134–141. 22 indexed citations
10.
Hao, Liang, Paola Rizzo, Clodia Osipo, et al.. (2009). Notch-1 activates estrogen receptor-α-dependent transcription via IKKα in breast cancer cells. Oncogene. 29(2). 201–213. 104 indexed citations
11.
Carbone, Michele, Antonio Pannuti, Lei Zhang, Joseph R. Testa, & Maurizio Bocchetta. (2008). A Novel Mechanism of Late Gene Silencing Drives SV40 Transformation of Human Mesothelial Cells. Cancer Research. 68(22). 9488–9496. 24 indexed citations
12.
Peng, Yin, Jieun Yun, Paola Rizzo, et al.. (2008). Notch-1 associates with IKKα and regulates IKK activity in cervical cancer cells. Oncogene. 27(44). 5833–5844. 107 indexed citations
13.
14.
15.
Pannuti, Antonio & John C. Lucchesi. (2000). Recycling to remodel: evolution of dosage-compensation complexes. Current Opinion in Genetics & Development. 10(6). 644–650. 42 indexed citations
16.
Smith, Edwin R., Arri Eisen, Weigang Gu, et al.. (1998). ESA1 is a histone acetyltransferase that is essential for growth in yeast. Proceedings of the National Academy of Sciences. 95(7). 3561–3565. 272 indexed citations
17.
Digilio, Filomena Anna, Antonio Pannuti, John C. Lucchesi, Maria Furia, & Lino C. Polito. (1996). Tosca:ADrosophilaGene Encoding a Nuclease Specifically Expressed in the Female Germline. Developmental Biology. 178(1). 90–100. 37 indexed citations
18.
Mantia, Girolama La, et al.. (1989). Identification of new human repetitive sequences: characterization of the corresponding cDNAs and their expression in embryonal carcinoma cells. Nucleic Acids Research. 17(15). 5913–5922. 27 indexed citations
19.
Pannuti, Antonio, et al.. (1988). Isolation of cDNAs encoding finger proteins and measurement of the corresponding mRNA levels during myeloid terminal differentiation. Nucleic Acids Research. 16(10). 4227–4237. 32 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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