Daniel S. Day
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- CRISPR and Genetic Engineering
- Cancer Research top 10%
Papers in
-
- Genomics and Chromatin Dynamics 8
- RNA Research and Splicing 6
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 2
- Co-authors
- Richard A. Young (7 shared papers)Denes Hnisz (4 shared papers)Abraham S. Weintraub (3 shared papers)Charles H. Li (2 shared papers)Alla A. Sigova (2 shared papers)Rudolf Jaenisch (2 shared papers)Alicia V. Zamudio (2 shared papers)Tong Ihn Lee (2 shared papers)
- Journals
- Nature Communications (2 papers)Genome biology (2 papers)Cell (2 papers)Science (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Daniel S. Day
13 papers receiving 2.4k citations
Daniel S. Day's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 2.1k
- Cancer Research 297
- Plant Science 351
- Genetics 255
- Oncology 209
Countries citing papers authored by Daniel S. Day
This map shows the geographic impact of Daniel S. Day'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 S. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Day more than expected).
Fields of papers citing papers by Daniel S. Day
This network shows the impact of papers produced by Daniel S. Day. 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 S. Day. The network helps show where Daniel S. Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Day, 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 | Activation of proto-oncogenes by disruption of chromosome neighborhoods Hit paper breakdown → | 2016 | 679 |
| 2 | YY1 Is a Structural Regulator of Enhancer-Promoter Loops Hit paper breakdown → | 2017 | 661 |
| 3 | 2016 | 286 | |
| 4 | 2019 | 181 | |
| 5 | 2018 | 137 | |
| 6 | 2013 | 98 | |
| 7 | 2010 | 81 | |
| 8 | 2019 | 74 | |
| 9 | 2013 | 69 | |
| 10 | 2016 | 67 | |
| 11 | 2010 | 44 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 8 |
About Daniel S. Day
Daniel S. Day is a scholar working on Molecular Biology, Cancer Research, Neurology, Plant Science and Infectious Diseases, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Protein Degradation and Inhibitors (2 papers), RNA and protein synthesis mechanisms (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (297 citations), Plant Science (351 citations), Genetics (255 citations) and Oncology (209 citations). Daniel S. Day has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Richard A. Young, Denes Hnisz, Abraham S. Weintraub, Charles H. Li, Alla A. Sigova, Rudolf Jaenisch, Alicia V. Zamudio, Tong Ihn Lee, Nathanael S. Gray and Brian J. Abraham. Their work appears in journals such as Nature Communications, Genome biology, Cell, Science and Human Molecular Genetics.
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.