Daniel Benjamin Dadon
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 5
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 2
- RNA Interference and Gene Delivery 1
- Genetics 2
- Virus-based gene therapy research 1
- Co-authors
- Rudolf JaenischRichard A. YoungJi XiongXuebing WuYonatan StelzerHao WuX. Shawn LiuSzymon Czauderna
- Journals
- Nature Biotechnology (2 papers)Cell stem cell (1 paper)Cell (1 paper)Cell Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Daniel Benjamin Dadon
6 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Aging 128
- Business and International Management 94
- Molecular Biology 1.9k
- Genetics 404
- Cancer Research 116
Countries citing papers authored by Daniel Benjamin Dadon
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
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
The 25 scholars most cited alongside Daniel Benjamin Dadon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Editing DNA Methylation in the Mammalian Genome Hit paper breakdown → | 2016 | 863 |
| 2 | 2015 | 110 | |
| 3 | 2015 | 118 | |
| 4 | 2015 | 269 | |
| 5 | 2014 | 33 | |
| 6 | 2013 | 0 | |
| 7 | Multiplexed activation of endogenous genes by CRISPR-on, an RNA-guided transcriptional activator system Hit paper breakdown → | 2013 | 594 |
About Daniel Benjamin Dadon
Daniel Benjamin Dadon is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Plant Science and Infectious Diseases, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Interference and Gene Delivery (1 paper), Plant Molecular Biology Research (1 paper), Virus-based gene therapy research (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Aging (128 citations), Business and International Management (94 citations), Molecular Biology (1.9k citations), Genetics (404 citations) and Cancer Research (116 citations). Daniel Benjamin Dadon has collaborated with scholars based in United States and Poland. Frequent 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. Their work appears in journals such as Nature Biotechnology, Cell stem cell, Cell, Cell Research and Proceedings of the National Academy of Sciences.
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.