Gregory E. Crawford
- Aging top 0.5%
- Molecular Biology top 0.1%
- Genomics and Chromatin Dynamics 65
- Epigenetics and DNA Methylation 25
- RNA Research and Splicing 24
- RNA and protein synthesis mechanisms 20
- RNA modifications and cancer 17
- CRISPR and Genetic Engineering 15
- Muscle Physiology and Disorders 7
- Genetics top 0.2%
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 8
- Co-authors
- Lingyun SongTimothy E. ReddyCharles A. GersbachPratiksha I. ThakoreTerrence S. FureyChristopher M. VockleyZhiping WengAnthony D’Ippolito
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Gregory E. Crawford
115 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Aging 372
- Molecular Biology 13.8k
- Business and International Management 257
- Genetics 3.4k
- Cancer Research 1.5k
Countries citing papers authored by Gregory E. Crawford
This map shows the geographic impact of Gregory E. Crawford'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 Gregory E. Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory E. Crawford more than expected).
Fields of papers citing papers by Gregory E. Crawford
This network shows the impact of papers produced by Gregory E. Crawford. 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 Gregory E. Crawford. The network helps show where Gregory E. Crawford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory E. Crawford, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 20 | |
| 7 | 2019 | 9 | |
| 8 | 2019 | 17 | |
| 9 | Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insightsbreakdown → | 2018 | 293 |
| 10 | 2018 | 61 | |
| 11 | 2017 | 285 | |
| 12 | 2017 | 33 | |
| 13 | Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancersbreakdown → | 2015 | 1343 |
| 14 | 2014 | 94 | |
| 15 | 2013 | 195 | |
| 16 | 2013 | 69 | |
| 17 | 2011 | 189 | |
| 18 | 2010 | 233 | |
| 19 | 2008 | 120 | |
| 20 | 2007 | 44 |
About Gregory E. Crawford
Gregory E. Crawford is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 120 papers that have together received 16.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (65 papers), Epigenetics and DNA Methylation (25 papers), RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (20 papers), RNA modifications and cancer (17 papers), CRISPR and Genetic Engineering (15 papers), Cancer-related molecular mechanisms research (8 papers) and Muscle Physiology and Disorders (7 papers). The work is most often cited by research in Aging (372 citations), Molecular Biology (13.8k citations) and Business and International Management (257 citations). Gregory E. Crawford has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Lingyun Song, Timothy E. Reddy, Charles A. Gersbach, Pratiksha I. Thakore, Terrence S. Furey, Christopher M. Vockley, Zhiping Weng, Anthony D’Ippolito, Alexias Safi and Alan P. Boyle. Their work appears in journals such as Genome Research, PLoS Genetics, Alzheimer s & Dementia, Nucleic Acids Research and Nature Methods.
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.