Kirk Chu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 5
- RNA Interference and Gene Delivery 4
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- Genetics 8
- Virus-based gene therapy research 8
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
- Co-authors
- Mark A. Kay (10 shared papers)Leszek Lisowski (6 shared papers)Jianpeng Xu (4 shared papers)Feijie Zhang (5 shared papers)Yue Zhang (4 shared papers)Hak Kyun Kim (3 shared papers)Markus Grompe (2 shared papers)Ian E. Alexander (2 shared papers)
- Journals
- Molecular Therapy (4 papers)Blood (4 papers)Nature (2 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Kirk Chu
18 papers receiving 1.5k citations
Kirk Chu's Hit Papers
Peers
Comparison fields: 5 of 73
- Cancer Research 328
- Genetics 623
- Molecular Biology 1.1k
- Hematology 96
- Oncology 214
Countries citing papers authored by Kirk Chu
This map shows the geographic impact of Kirk Chu'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 Kirk Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirk Chu more than expected).
Fields of papers citing papers by Kirk Chu
This network shows the impact of papers produced by Kirk Chu. 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 Kirk Chu. The network helps show where Kirk Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kirk Chu, 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 | A transfer-RNA-derived small RNA regulates ribosome biogenesis Hit paper breakdown → | 2017 | 425 |
| 2 | 2013 | 366 | |
| 3 | 2017 | 141 | |
| 4 | 2001 | 111 | |
| 5 | 2001 | 96 | |
| 6 | 2019 | 80 | |
| 7 | 2018 | 60 | |
| 8 | 2014 | 53 | |
| 9 | 1997 | 46 | |
| 10 | 1997 | 29 | |
| 11 | 2016 | 29 | |
| 12 | 2013 | 24 | |
| 13 | 2001 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2013 | 13 | |
| 16 | 2013 | 11 | |
| 17 | 2006 | 1 | |
| 18 | 2015 | 1 |
About Kirk Chu
Kirk Chu is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Hematology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), RNA Interference and Gene Delivery (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), CAR-T cell therapy research (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Cancer Research (328 citations), Genetics (623 citations), Molecular Biology (1.1k citations), Hematology (96 citations) and Oncology (214 citations). Kirk Chu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Mark A. Kay, Leszek Lisowski, Jianpeng Xu, Feijie Zhang, Yue Zhang, Hak Kyun Kim, Markus Grompe, Ian E. Alexander, Sean Nygaard and Katherine A. High. Their work appears in journals such as Molecular Therapy, Blood, Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.