Bryan T. Harada
- Molecular Biology top 2%
- Cancer Research top 1%
- Electrical and Electronic Engineering top 10%
- Oncology
- Surgery
- Co-authors
- Chuan HeMichaela FryeMikaela BehmJun LiuAllen ZhuXiaowei ZhuangLisheng ZhangAgnieszka Chryplewicz
- Topics
- RNA modifications and cancer (13 papers)Cancer-related molecular mechanisms research (8 papers)Cancer-related gene regulation (5 papers)
- Journals
- NatureScienceThe EMBO Journal
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Bryan T. Harada
19 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 2.6k
- Cancer Research 1.2k
- Electrical and Electronic Engineering 323
- Oncology 205
- Surgery 109
Countries citing papers authored by Bryan T. Harada
This map shows the geographic impact of Bryan T. Harada'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 Bryan T. Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan T. Harada more than expected).
Fields of papers citing papers by Bryan T. Harada
This network shows the impact of papers produced by Bryan T. Harada. 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 Bryan T. Harada. The network helps show where Bryan T. Harada may publish in the future.
Co-authorship network of co-authors of Bryan T. Harada
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan T. Harada. A scholar is included among the top collaborators of Bryan T. Harada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bryan T. Harada. Bryan T. Harada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Exon architecture controls mRNA m 6 A suppression and gene expressionbreakdown → | 134 |
| 2 | Quantitative sequencing using BID-seq uncovers abundant pseudouridines in mammalian mRNA at base resolutionbreakdown → | 144 |
| 3 | m6A RNA modifications are measured at single-base resolution across the mammalian transcriptomebreakdown → | 176 |
| 4 | 74 | |
| 5 | 42 | |
| 6 | 51 | |
| 7 | 39 | |
| 8 | 32 | |
| 9 | 143 | |
| 10 | 1 | |
| 11 | 179 | |
| 12 | m6A mRNA methylation regulates AKT activity to promote the proliferation and tumorigenicity of endometrial cancerbreakdown → | 603 |
| 13 | RNA modifications modulate gene expression during developmentbreakdown → | 866 |
| 14 | 1 | |
| 15 | 58 | |
| 16 | 68 | |
| 17 | 50 | |
| 18 | 55 | |
| 19 | 33 |
About Bryan T. Harada
Bryan T. Harada is a scholar working on Cancer Research, Molecular Biology and Virology, having authored 19 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (8 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (2.6k citations) and Energy Engineering and Power Technology (36 citations). Bryan T. Harada has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Chuan He, Michaela Frye, Mikaela Behm, Jun Liu, Allen Zhu, Xiaowei Zhuang, Lisheng Zhang, Agnieszka Chryplewicz, Jianzhao Liu and Ying Yang. Their work appears in journals such as Nature, Science and The EMBO Journal.
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.