Ana C. D’Alessio

18.1k total citations · 5 hit papers
25 papers, 11.9k citations indexed

About

Ana C. D’Alessio is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ana C. D’Alessio has authored 25 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Ana C. D’Alessio's work include Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (8 papers) and Pluripotent Stem Cells Research (4 papers). Ana C. D’Alessio is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (8 papers) and Pluripotent Stem Cells Research (4 papers). Ana C. D’Alessio collaborates with scholars based in United States, Canada and Australia. Ana C. D’Alessio's co-authors include Moshe Szyf, Sergiy Dymov, Michael J. Meaney, Yi Zhang, Ian C.G. Weaver, Shakti Sharma, Frances A. Champagne, Nadia Cervoni, Jonathan R. Seckl and Shinsuke Ito and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ana C. D’Alessio

24 papers receiving 11.6k citations

Hit Papers

Epigenetic programming by maternal behavior 2004 2026 2011 2018 2004 2009 2010 2013 2011 1000 2.0k 3.0k 4.0k

Peers

Ana C. D’Alessio
Pat Levitt United States
Isabelle M. Mansuy Switzerland
Yasmin L. Hurd United States
Jonathan Mill United Kingdom
Alicia K. Smith United States
Ian Craig United Kingdom
Pat Levitt United States
Ana C. D’Alessio
Citations per year, relative to Ana C. D’Alessio Ana C. D’Alessio (= 1×) peers Pat Levitt

Countries citing papers authored by Ana C. D’Alessio

Since Specialization
Citations

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

Fields of papers citing papers by Ana C. D’Alessio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana C. D’Alessio. 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 Ana C. D’Alessio. The network helps show where Ana C. D’Alessio may publish in the future.

Co-authorship network of co-authors of Ana C. D’Alessio

This figure shows the co-authorship network connecting the top 25 collaborators of Ana C. D’Alessio. A scholar is included among the top collaborators of Ana C. D’Alessio 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 Ana C. D’Alessio. Ana C. D’Alessio 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.
Taranova, Olena, Jin He, Gaoyang Liang, et al.. (2021). Generation of Insulin-secreting Islet-like Clusters from Human Skin Fibroblasts. UNC Libraries. 1 indexed citations
2.
Nakagawa, Tadashi, Lei Lv, Makiko Nakagawa, et al.. (2015). CRL4VprBP E3 Ligase Promotes Monoubiquitylation and Chromatin Binding of TET Dioxygenases. Molecular Cell. 59(6). 1043–1043. 1 indexed citations
3.
D’Alessio, Ana C., Zi Peng Fan, Katherine J. Wert, et al.. (2015). A Systematic Approach to Identify Candidate Transcription Factors that Control Cell Identity. Stem Cell Reports. 5(5). 763–775. 118 indexed citations
4.
Li, Xiang, Wei Wei, Qiongyi Zhao, et al.. (2014). Neocortical Tet3-mediated accumulation of 5-hydroxymethylcytosine promotes rapid behavioral adaptation. Proceedings of the National Academy of Sciences. 111(19). 7120–7125. 142 indexed citations
5.
Nakagawa, Tadashi, Lei Lv, Makiko Nakagawa, et al.. (2014). CRL4VprBP E3 Ligase Promotes Monoubiquitylation and Chromatin Binding of TET Dioxygenases. Molecular Cell. 57(2). 247–260. 83 indexed citations
6.
Cassady, John P., Ana C. D’Alessio, Sovan Sarkar, et al.. (2014). Direct Lineage Conversion of Adult Mouse Liver Cells and B Lymphocytes to Neural Stem Cells. Stem Cell Reports. 3(6). 948–956. 48 indexed citations
7.
Shen, Li, Hao Wu, Dinh Diep, et al.. (2013). Genome-wide Analysis Reveals TET- and TDG-Dependent 5-Methylcytosine Oxidation Dynamics. Cell. 153(3). 692–706. 383 indexed citations
8.
Chaffer, Christine L., Nemanja D. Marjanovic, Tong Lee, et al.. (2013). Poised Chromatin at the ZEB1 Promoter Enables Breast Cancer Cell Plasticity and Enhances Tumorigenicity. Cell. 154(1). 61–74. 672 indexed citations breakdown →
9.
Kim, Suel–Kee, et al.. (2012). Sox2 Acts through Sox21 to Regulate Transcription in Pluripotent and Differentiated Cells. Current Biology. 22(18). 1705–1710. 51 indexed citations
10.
Wu, Hao, Ana C. D’Alessio, Shinsuke Ito, et al.. (2011). Genome-wide analysis of 5-hydroxymethylcytosine distribution reveals its dual function in transcriptional regulation in mouse embryonic stem cells. Genes & Development. 25(7). 679–684. 434 indexed citations
11.
Wu, Hao, Ana C. D’Alessio, Shinsuke Ito, et al.. (2011). Dual functions of Tet1 in transcriptional regulation in mouse embryonic stem cells. Nature. 473(7347). 389–393. 501 indexed citations breakdown →
12.
Ito, Shinsuke, Ana C. D’Alessio, Olena Taranova, et al.. (2010). Role of Tet proteins in 5mC to 5hmC conversion, ES-cell self-renewal and inner cell mass specification. Nature. 466(7310). 1129–1133. 1955 indexed citations breakdown →
13.
McGowan, Patrick O., Aya Sasaki, Ana C. D’Alessio, et al.. (2009). Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse. Nature Neuroscience. 12(3). 342–348. 2302 indexed citations breakdown →
14.
Tateishi, Keisuke, Jin He, Olena Taranova, et al.. (2008). Generation of Insulin-secreting Islet-like Clusters from Human Skin Fibroblasts. Journal of Biological Chemistry. 283(46). 31601–31607. 267 indexed citations
15.
D’Alessio, Ana C., Ian C.G. Weaver, & Moshe Szyf. (2007). Acetylation-Induced Transcription Is Required for Active DNA Demethylation in Methylation-Silenced Genes. Molecular and Cellular Biology. 27(21). 7462–7474. 66 indexed citations
16.
Weaver, Ian C.G., Ana C. D’Alessio, Shelley E. Brown, et al.. (2007). The Transcription Factor Nerve Growth Factor-Inducible Protein A Mediates Epigenetic Programming: Altering Epigenetic Marks by Immediate-Early Genes. Journal of Neuroscience. 27(7). 1756–1768. 352 indexed citations
17.
D’Alessio, Ana C., et al.. (2007). Non-reductive modulation of chloroplast fructose-1,6-bisphosphatase by 2-Cys peroxiredoxin. Biochemical and Biophysical Research Communications. 355(3). 722–727. 39 indexed citations
18.
Milutinovic, Snezana, Ana C. D’Alessio, Nancy Detich, & Moshe Szyf. (2006). Valproate induces widespread epigenetic reprogramming which involves demethylation of specific genes. Carcinogenesis. 28(3). 560–571. 201 indexed citations
19.
D’Alessio, Ana C. & Moshe Szyf. (2004). Kinetics of chromatin activation and active DNA demethylation in vertebrate cells: Histone acetylation sets the stage for demethylase interactions with DNA resulting in demethylation. Cancer Research. 64. 962–962. 1 indexed citations
20.
Weaver, Ian C.G., Nadia Cervoni, Frances A. Champagne, et al.. (2004). Epigenetic programming by maternal behavior. Nature Neuroscience. 7(8). 847–854. 4150 indexed citations breakdown →

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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