Daniel Benjamin Dadon

2.8k total citations · 2 hit papers
7 papers, 2.0k citations indexed

About

Daniel Benjamin Dadon is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Benjamin Dadon has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Benjamin Dadon's work include CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (3 papers) and RNA Research and Splicing (2 papers). Daniel Benjamin Dadon is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (3 papers) and RNA Research and Splicing (2 papers). Daniel Benjamin Dadon collaborates with scholars based in United States and Poland. Daniel Benjamin Dadon's co-authors include Rudolf Jaenisch, Richard A. Young, Ji Xiong, Xuebing Wu, Yonatan Stelzer, Hao Wu, X. Shawn Liu, Szymon Czauderna, Jian Shu and Albert W. Cheng and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

Daniel Benjamin Dadon

6 papers receiving 2.0k citations

Hit Papers

Editing DNA Methylation in the Mammalian Genome 2013 2026 2017 2021 2016 2013 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
Daniel Benjamin Dadon United States 6 1.9k 404 204 128 116 7 2.0k
Sourav Choudhury India 8 1.5k 0.8× 353 0.9× 135 0.7× 58 0.5× 154 1.3× 21 1.8k
Anthony D’Ippolito United States 10 2.3k 1.3× 484 1.2× 213 1.0× 170 1.3× 185 1.6× 20 2.6k
Eswar Prasad R. Iyer United States 12 1.4k 0.8× 219 0.5× 135 0.7× 137 1.1× 64 0.6× 19 1.7k
Ryan L. Collins United States 15 1.0k 0.5× 471 1.2× 78 0.4× 68 0.5× 52 0.4× 28 1.3k
Joffrey Mianné France 9 1.2k 0.7× 282 0.7× 181 0.9× 103 0.8× 50 0.4× 19 1.4k
Takuro Horii Japan 26 2.3k 1.2× 628 1.6× 135 0.7× 143 1.1× 355 3.1× 68 2.6k
Emily K. Mis United States 11 1.1k 0.6× 264 0.7× 133 0.7× 112 0.9× 45 0.4× 24 1.3k
Natalia Gomez‐Ospina United States 18 1.9k 1.0× 587 1.5× 219 1.1× 92 0.7× 22 0.2× 27 2.3k
Martin Teichmann France 29 2.6k 1.4× 345 0.9× 176 0.9× 64 0.5× 350 3.0× 47 3.0k
Jarryd M. Campbell United States 9 874 0.5× 276 0.7× 81 0.4× 46 0.4× 48 0.4× 13 1.1k

Countries citing papers authored by Daniel Benjamin Dadon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Benjamin Dadon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Benjamin Dadon. 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 Daniel Benjamin Dadon. The network helps show where Daniel Benjamin Dadon may publish in the future.

Co-authorship network of co-authors of Daniel Benjamin Dadon

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

All Works

7 of 7 papers shown
1.
Liu, X. Shawn, Hao Wu, Ji Xiong, et al.. (2016). Editing DNA Methylation in the Mammalian Genome. Cell. 167(1). 233–247.e17. 863 indexed citations breakdown →
2.
Xiong, Ji, Daniel Benjamin Dadon, Brian J. Abraham, et al.. (2015). Chromatin proteomic profiling reveals novel proteins associated with histone-marked genomic regions. Proceedings of the National Academy of Sciences. 112(12). 3841–3846. 110 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.
Xiong, Ji, Daniel Benjamin Dadon, Benjamin E. Powell, et al.. (2015). 3D Chromosome Regulatory Landscape of Human Pluripotent Cells. Cell stem cell. 18(2). 262–275. 269 indexed citations
5.
Wu, Xuebing, David Scott, Andrea J. Kriz, et al.. (2014). Genome-wide binding of the CRISPR endonuclease Cas9 in mammalian cells. Nature Biotechnology. 32(7). 670–676. 33 indexed citations
6.
Wang, Haoyi, Yueh‐Chiang Hu, Styliani Markoulaki, et al.. (2013). TALEN-mediated editing of the mouse Y chromosome. Nature Biotechnology. 31(6). 530–532.
7.
Cheng, Albert W., Haoyi Wang, Hui Yang, et al.. (2013). Multiplexed activation of endogenous genes by CRISPR-on, an RNA-guided transcriptional activator system. Cell Research. 23(10). 1163–1171. 594 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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