Antonia De Maio

783 total citations
8 papers, 486 citations indexed

About

Antonia De Maio is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Antonia De Maio has authored 8 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Antonia De Maio's work include RNA Research and Splicing (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Nerve injury and regeneration (2 papers). Antonia De Maio is often cited by papers focused on RNA Research and Splicing (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Nerve injury and regeneration (2 papers). Antonia De Maio collaborates with scholars based in United States, Netherlands and Germany. Antonia De Maio's co-authors include Huda Y. Zoghbi, Paymaan Jafar‐Nejad, Harry T. Orr, Jeehye Park, Joshua J. White, Roy V. Sillitoe, Vincenzo A. Gennarino, Cristian A. Lasagna‐Reeves, Maxime W.C. Rousseaux and María de Haro and has published in prestigious journals such as Cell, Neuron and Development.

In The Last Decade

Antonia De Maio

8 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonia De Maio United States 7 331 133 104 96 57 8 486
Youngshin Lim United States 12 334 1.0× 159 1.2× 69 0.7× 110 1.1× 83 1.5× 24 544
Yan Hong United States 9 497 1.5× 290 2.2× 57 0.5× 92 1.0× 75 1.3× 10 616
Ina Woods Ireland 14 325 1.0× 145 1.1× 49 0.5× 145 1.5× 26 0.5× 19 547
Jinchong Xu United States 12 317 1.0× 137 1.0× 70 0.7× 72 0.8× 26 0.5× 15 499
Camilla Maffezzini Sweden 11 335 1.0× 75 0.6× 52 0.5× 74 0.8× 34 0.6× 14 503
Diede W. M. Broekaart Netherlands 14 203 0.6× 124 0.9× 95 0.9× 42 0.4× 65 1.1× 21 462
María-Victoria Hinckelmann France 8 413 1.2× 280 2.1× 73 0.7× 90 0.9× 46 0.8× 9 639
Marco Straccia Spain 14 337 1.0× 190 1.4× 79 0.8× 66 0.7× 27 0.5× 22 601
Vitaliy V. Bondar United States 9 292 0.9× 75 0.6× 134 1.3× 111 1.2× 67 1.2× 10 590
Yuanzheng Gao United States 6 322 1.0× 261 2.0× 49 0.5× 45 0.5× 28 0.5× 8 491

Countries citing papers authored by Antonia De Maio

Since Specialization
Citations

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

Fields of papers citing papers by Antonia De Maio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonia De Maio. 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 Antonia De Maio. The network helps show where Antonia De Maio may publish in the future.

Co-authorship network of co-authors of Antonia De Maio

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

All Works

8 of 8 papers shown
1.
Ballinger, Elizabeth, Christian P. Schaaf, Akash J. Patel, et al.. (2019). Mecp2Deletion from Cholinergic Neurons Selectively Impairs Recognition Memory and Disrupts Cholinergic Modulation of the Perirhinal Cortex. eNeuro. 6(6). ENEURO.0134–19.2019. 16 indexed citations
2.
Maio, Antonia De, Hari Krishna Yalamanchili, Carolyn J. Adamski, et al.. (2018). RBM17 Interacts with U2SURP and CHERP to Regulate Expression and Splicing of RNA-Processing Proteins. Cell Reports. 25(3). 726–736.e7. 43 indexed citations
3.
Rousseaux, Maxime W.C., María de Haro, Cristian A. Lasagna‐Reeves, et al.. (2016). TRIM28 regulates the nuclear accumulation and toxicity of both alpha-synuclein and tau. eLife. 5. 81 indexed citations
4.
Lasagna‐Reeves, Cristian A., María de Haro, Shuang Hao, et al.. (2016). Reduction of Nuak1 Decreases Tau and Reverses Phenotypes in a Tauopathy Mouse Model. Neuron. 92(2). 407–418. 107 indexed citations
5.
Tan, Qiumin, Hari Krishna Yalamanchili, Jeehye Park, et al.. (2016). Extensive cryptic splicing upon loss of RBM17 and TDP43 in neurodegeneration models. Human Molecular Genetics. 25(23). ddw337–ddw337. 73 indexed citations
6.
Gennarino, Vincenzo A., Ravi K. Singh, Joshua J. White, et al.. (2015). Pumilio1 Haploinsufficiency Leads to SCA1-like Neurodegeneration by Increasing Wild-Type Ataxin1 Levels. Cell. 160(6). 1087–1098. 114 indexed citations
7.
Rousseaux, Maxime W.C., María de Haro, Cristian A. Lasagna‐Reeves, et al.. (2015). TRIM28 regulates the stability and toxicity of alpha-synuclein and tau through a common mechanism. Journal of the Neurological Sciences. 357. e285–e286. 2 indexed citations
8.
Alfano, Christian, Luigi Viola, Julian Ik‐Tsen Heng, et al.. (2011). COUP-TFI promotes radial migration and proper morphology of callosal projection neurons by repressing Rnd2 expression. Development. 138(21). 4685–4697. 50 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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