Daniel R. Chee
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 2
- Chromatin Remodeling and Cancer 2
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 1
- Protein Degradation and Inhibitors 1
- Cancer-related gene regulation 1
- Co-authors
- Chang Li (1 shared paper)Alister P. W. Funnell (1 shared paper)Erkki A Vartiainen (1 shared paper)Anastasia Athanasiadou (1 shared paper)André Lieber (1 shared paper)Grigorios Georgolopoulos (1 shared paper)Thalia Papayannopoulou (1 shared paper)Reyes W. Acosta (1 shared paper)
- Journals
- Cell Reports (2 papers)Nature (2 papers)Nature Medicine (1 paper)Blood (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Daniel R. Chee
7 papers receiving 1.7k citations
Daniel R. Chee's Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.3k
- Cancer Research 246
- Genetics 340
- Aging 15
- Immunology 102
Countries citing papers authored by Daniel R. Chee
This map shows the geographic impact of Daniel R. Chee'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 R. Chee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Chee more than expected).
Fields of papers citing papers by Daniel R. Chee
This network shows the impact of papers produced by Daniel R. Chee. 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 R. Chee. The network helps show where Daniel R. Chee may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel R. Chee, 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 | Expanded encyclopaedias of DNA elements in the human and mouse genomes Hit paper breakdown → | 2020 | 1387 |
| 2 | 2020 | 138 | |
| 3 | 2018 | 125 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 9 | |
| 6 | Intrauterine and life course factors in the aetiology of adult cardiovascular disease. | 1998 | 7 |
| 7 | 2020 | 2 |
About Daniel R. Chee
Daniel R. Chee is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Cancer Research and Insect Science, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (2 papers), Chromatin Remodeling and Cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper), Cancer-related molecular mechanisms research (1 paper), Protein Degradation and Inhibitors (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (246 citations), Genetics (340 citations), Aging (15 citations) and Immunology (102 citations). Daniel R. Chee has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Chang Li, Alister P. W. Funnell, Erkki A Vartiainen, Anastasia Athanasiadou, André Lieber, Grigorios Georgolopoulos, Thalia Papayannopoulou, Reyes W. Acosta, Jemma S. Nelson and Vivek Nandakumar. Their work appears in journals such as Cell Reports, Nature, Nature Medicine, Blood and PubMed.
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.