Brian A. Yee
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Cancer-related gene regulation
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 24
- RNA and protein synthesis mechanisms 20
- RNA modifications and cancer 20
- RNA regulation and disease 6
- CRISPR and Genetic Engineering 3
- Oncology 3
- Co-authors
- G Yeo (31 shared papers)Gabriel A. Pratt (4 shared papers)Eric L. Van Nostrand (6 shared papers)Amy E. Pasquinelli (1 shared paper)Jeff Coller (1 shared paper)Laura B. Chipman (1 shared paper)Brenton R. Graveley (3 shared papers)Assael A. Madrigal (3 shared papers)
- Journals
- Nature Communications (3 papers)RNA (3 papers)Nature Structural & Molecular Biology (3 papers)Nucleic Acids Research (3 papers)Nature Methods (2 papers)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Brian A. Yee
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 938
- Cancer Research 194
- Aging 11
- Immunology 94
- Business and International Management 5
Countries citing papers authored by Brian A. Yee
This map shows the geographic impact of Brian A. Yee'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 Brian A. Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian A. Yee more than expected).
Fields of papers citing papers by Brian A. Yee
This network shows the impact of papers produced by Brian A. Yee. 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 Brian A. Yee. The network helps show where Brian A. Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian A. Yee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 195 | |
| 2 | 2020 | 129 | |
| 3 | 2021 | 119 | |
| 4 | 2021 | 87 | |
| 5 | 2020 | 60 | |
| 6 | 2018 | 48 | |
| 7 | 2016 | 42 | |
| 8 | 2022 | 39 | |
| 9 | 2020 | 37 | |
| 10 | 2020 | 34 | |
| 11 | 2017 | 34 | |
| 12 | 2023 | 32 | |
| 13 | 2018 | 27 | |
| 14 | 2022 | 25 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2021 | 17 | |
| 18 | 2002 | 16 | |
| 19 | 2013 | 12 | |
| 20 | 2023 | 11 |
About Brian A. Yee
Brian A. Yee is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Epidemiology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (20 papers), RNA modifications and cancer (20 papers), RNA regulation and disease (6 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (2 papers), Immune Cell Function and Interaction (2 papers) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Molecular Biology (938 citations), Cancer Research (194 citations), Aging (11 citations), Immunology (94 citations) and Business and International Management (5 citations). Brian A. Yee has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include G Yeo, Gabriel A. Pratt, Eric L. Van Nostrand, Amy E. Pasquinelli, Jeff Coller, Laura B. Chipman, Brenton R. Graveley, Assael A. Madrigal, Kevin Dong and Isaac A. Chaim. Their work appears in journals such as Nature Communications, RNA, Nature Structural & Molecular Biology, 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.