E. Nola

1.7k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

E. Nola is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, E. Nola has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in E. Nola's work include Estrogen and related hormone effects (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Cancer-related Molecular Pathways (3 papers). E. Nola is often cited by papers focused on Estrogen and related hormone effects (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Cancer-related Molecular Pathways (3 papers). E. Nola collaborates with scholars based in Italy, Germany and United States. E. Nola's co-authors include Antimo Migliaccio, Ferdinando Auricchio, Marina Di Domenico, Gabriella Castoria, Paola Bontempo, A. de Falco, G.A. Puca, V. Sica, Francesco Bresciani and Anna Maria Molinari and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

E. Nola

17 papers receiving 1.4k citations

Hit Papers

Tyrosine kinase/p21ras/MAP-kinase pathway activation by e... 1996 2026 2006 2016 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Nola Italy 13 857 848 324 214 160 17 1.4k
Boris J. Cheskis United States 17 1.1k 1.3× 909 1.1× 339 1.0× 284 1.3× 135 0.8× 18 1.7k
Devon A. Thompson United States 11 450 0.5× 1.0k 1.2× 377 1.2× 126 0.6× 176 1.1× 12 1.6k
Pierre Chambon France 7 1.2k 1.4× 1.1k 1.3× 257 0.8× 210 1.0× 79 0.5× 8 1.6k
M. J. Heine France 5 940 1.1× 986 1.2× 176 0.5× 215 1.0× 87 0.5× 5 1.3k
Twila A. Jackson United States 16 1.2k 1.4× 1.3k 1.5× 378 1.2× 275 1.3× 194 1.2× 23 2.1k
C A O'Brian United States 19 328 0.4× 952 1.1× 393 1.2× 89 0.4× 136 0.8× 28 1.4k
Ken C. N. Chang United States 13 740 0.9× 1.2k 1.4× 469 1.4× 132 0.6× 391 2.4× 21 1.8k
Stephan P. Tenbaum Spain 17 281 0.3× 1.2k 1.4× 339 1.0× 157 0.7× 223 1.4× 23 1.6k
Xiaohua Leng China 13 552 0.6× 1.2k 1.4× 183 0.6× 148 0.7× 416 2.6× 15 1.5k
M.A. Christine Pratt Canada 20 424 0.5× 945 1.1× 469 1.4× 95 0.4× 271 1.7× 37 1.4k

Countries citing papers authored by E. Nola

Since Specialization
Citations

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

Fields of papers citing papers by E. Nola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Nola

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

All Works

17 of 17 papers shown
1.
Serra, François, Lucía Fanlo, E. Nola, et al.. (2024). p53 rapidly restructures 3D chromatin organization to trigger a transcriptional response. Nature Communications. 15(1). 2821–2821. 17 indexed citations
2.
Paris, Ornella, Olì Maria Victoria Grober, Maria Ravo, et al.. (2012). Direct regulation of microRNA biogenesis and expression by estrogen receptor beta in hormone-responsive breast cancer. Oncogene. 31(38). 4196–4206. 86 indexed citations
3.
Cioffi, Michèle, Maria Teresa Vietri, Patrizia Gazzerro, et al.. (2001). Serum anti-p53 antibodies in lung cancer: comparison with established tumor markers. Lung Cancer. 33(2-3). 163–169. 51 indexed citations
4.
Molinari, Anna Maria, Paola Bontempo, Ettore Mariano Schiavone, et al.. (2000). Estradiol induces functional inactivation of p53 by intracellular redistribution.. PubMed. 60(10). 2594–7. 47 indexed citations
5.
Migliaccio, Antimo, Marina Di Domenico, Gabriella Castoria, et al.. (1996). Tyrosine kinase/p21ras/MAP-kinase pathway activation by estradiol-receptor complex in MCF-7 cells.. The EMBO Journal. 15(6). 1292–1300. 806 indexed citations breakdown →
6.
Migliaccio, Antimo, Gabriella Castoria, A. de Falco, et al.. (1991). In vitro phosphorylation and hormone binding activation of the synthetic wild type human estradiol receptor. The Journal of Steroid Biochemistry and Molecular Biology. 38(4). 407–413. 34 indexed citations
7.
Castoria, Gabriella, Antimo Migliaccio, E. Nola, & Ferdinando Auricchio. (1988). In VitroInteraction of Estradiol Receptor with Ca2+-Calmodulin. Molecular Endocrinology. 2(2). 167–174. 46 indexed citations
8.
Auricchio, Ferdinando, Antimo Migliaccio, Gabriella Castoria, et al.. (1987). Phosphorylation on tyrosine of oestradiol-17β receptor in uterus and interaction of oestradiol-17β and glucocorticoid receptors with antiphosphotyrosine antibodies. Journal of Steroid Biochemistry. 27(1-3). 245–253. 14 indexed citations
9.
Auricchio, Ferdinando, Antimo Migliaccio, Marina Di Domenico, & E. Nola. (1987). Oestradiol stimulates tyrosine phosphorylation and hormone binding activity of its own receptor in a cell-free system.. The EMBO Journal. 6(10). 2923–2929. 52 indexed citations
10.
Puca, G.A., et al.. (1981). Interaction of calf uterus estradiol receptor with erythrocyte cytoskeleton. Journal of Steroid Biochemistry. 15. 307–312. 8 indexed citations
11.
Puca, G.A., Nicola Medici, Anna Maria Molinari, et al.. (1980). Estrogen receptor of calf uterus: An easy and fast purification procedure. Journal of Steroid Biochemistry. 12. 105–113. 23 indexed citations
12.
Puca, G.A., V. Sica, E. Nola, & Francesco Bresciani. (1979). Purification and properties of native oestradiol receptor. Journal of Steroid Biochemistry. 11(1). 301–306. 4 indexed citations
13.
Puca, G.A., E. Nola, V. Sica, & Francesco Bresciani. (1977). Estrogen binding proteins of calf uterus. Molecular and functional characterization of the receptor transforming factor: A Ca2+-activated protease.. Journal of Biological Chemistry. 252(4). 1358–1366. 145 indexed citations
14.
Klein, P. J., et al.. (1976). Effect of different sex of tumour bearing mice and of ovariectomy on the proliferation kinetics of a solid, transplantable mammary carcinoma (C3H-mouse). Journal of Cancer Research and Clinical Oncology. 87(2). 181–91. 5 indexed citations
15.
Puca, G.A., et al.. (1975). Interaction of the estradiol receptor from calf uterus with its nuclear acceptor sites. Journal of Biological Chemistry. 250(16). 6452–6459. 42 indexed citations
16.
Sica, V., E. Nola, Indu Parikh, G.A. Puca, & Pedro Cuatrecasas. (1973). Purification of Oestradiol Receptors by Affinity Chromatography. Nature New Biology. 244(132). 36–39. 41 indexed citations
17.
Bresciani, Francesco, et al.. (1973). Early stages in estrogen control of gene expression and its derangement in cancer.. PubMed. 32(11). 2126–32. 8 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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