Gregory T. Booth
Impact in
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- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
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- Cancer-related molecular mechanisms research
Papers in
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- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 6
- Single-cell and spatial transcriptomics 3
- RNA and protein synthesis mechanisms 3
- Ubiquitin and proteasome pathways 2
- Fungal and yeast genetics research 2
- RNA modifications and cancer 2
- Genetics 2
- Co-authors
- John T. Lis (7 shared papers)Charles G. Danko (3 shared papers)Hojoong Kwak (2 shared papers)Leighton J. Core (2 shared papers)Colin T. Waters (2 shared papers)Dig Bijay Mahat (1 shared paper)Ravi K. Patel (1 shared paper)Iris H. Jonkers (1 shared paper)
- Journals
- Nature Communications (3 papers)Genome Research (2 papers)G3 Genes Genomes Genetics (1 paper)Nature (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Gregory T. Booth
13 papers receiving 730 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 631
- Cancer Research 73
- Aging 7
- Genetics 48
- Oncology 39
Countries citing papers authored by Gregory T. Booth
This map shows the geographic impact of Gregory T. Booth'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 T. Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory T. Booth more than expected).
Fields of papers citing papers by Gregory T. Booth
This network shows the impact of papers produced by Gregory T. Booth. 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 T. Booth. The network helps show where Gregory T. Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory T. Booth, 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 | 2016 | 324 | |
| 2 | 2018 | 120 | |
| 3 | 2018 | 75 | |
| 4 | 2018 | 64 | |
| 5 | 2016 | 63 | |
| 6 | 2017 | 28 | |
| 7 | 2023 | 18 | |
| 8 | 2013 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 6 | |
| 12 | 2020 | 2 | |
| 13 | 2023 | 1 |
About Gregory T. Booth
Gregory T. Booth is a scholar working on Molecular Biology, Genetics, Cancer Research, Complementary and alternative medicine and Reproductive Medicine, having authored 13 papers that have together received 733 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (6 papers), Single-cell and spatial transcriptomics (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), Fungal and yeast genetics research (2 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Molecular Biology (631 citations), Cancer Research (73 citations), Aging (7 citations), Genetics (48 citations) and Oncology (39 citations). Gregory T. Booth has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include John T. Lis, Charles G. Danko, Hojoong Kwak, Leighton J. Core, Colin T. Waters, Dig Bijay Mahat, Ravi K. Patel, Iris H. Jonkers, Katherine M. Munson and Pabitra K. Parua. Their work appears in journals such as Nature Communications, Genome Research, G3 Genes Genomes Genetics, Nature and Nature Protocols.
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.