Ci Chu
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in ⓘ
-
- RNA Research and Splicing 10
- RNA modifications and cancer 9
- Genomics and Chromatin Dynamics 3
- Lipid Membrane Structure and Behavior 2
- Advanced biosensing and bioanalysis techniques 1
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- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 1
- Co-authors
- Howard Y. Chang (12 shared papers)Kun Qu (4 shared papers)Franklin L. Zhong (1 shared paper)Maja Artandi (1 shared paper)Jeffrey J. Quinn (3 shared papers)Ryan A. Flynn (4 shared papers)Qiangfeng Cliff Zhang (2 shared papers)Maheetha Bharadwaj (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (2 papers)Genome biology (2 papers)Journal of Visualized Experiments (2 papers)Stem Cells (1 paper)Methods (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Ci Chu
15 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 2.4k
- Molecular Biology 3.1k
- Endocrinology 172
- Genetics 238
- Immunology 159
Countries citing papers authored by Ci Chu
This map shows the geographic impact of Ci 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 Ci Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ci Chu more than expected).
Fields of papers citing papers by Ci Chu
This network shows the impact of papers produced by Ci 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 Ci Chu. The network helps show where Ci Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ci 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 | Genomic Maps of Long Noncoding RNA Occupancy Reveal Principles of RNA-Chromatin Interactions Hit paper breakdown → | 2011 | 992 |
| 2 | Systematic Discovery of Xist RNA Binding Proteins Hit paper breakdown → | 2015 | 777 |
| 3 | Control of somatic tissue differentiation by the long non-coding RNA TINCR Hit paper breakdown → | 2012 | 742 |
| 4 | 2012 | 281 | |
| 5 | 2014 | 138 | |
| 6 | 2015 | 115 | |
| 7 | 2012 | 92 | |
| 8 | 2016 | 86 | |
| 9 | 2008 | 59 | |
| 10 | 2016 | 52 | |
| 11 | 2018 | 42 | |
| 12 | 2022 | 27 | |
| 13 | 2019 | 23 | |
| 14 | 2022 | 8 | |
| 15 | 2020 | 3 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ci Chu
Ci Chu is a scholar working on Molecular Biology, Cancer Research, Spectroscopy, Endocrinology and Biophysics, having authored 17 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (9 papers), Genomics and Chromatin Dynamics (3 papers), Lipid Membrane Structure and Behavior (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (3.1k citations), Endocrinology (172 citations), Genetics (238 citations) and Immunology (159 citations). Ci Chu has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Howard Y. Chang, Kun Qu, Franklin L. Zhong, Maja Artandi, Jeffrey J. Quinn, Ryan A. Flynn, Qiangfeng Cliff Zhang, Maheetha Bharadwaj, Édith Heard and J. Mauro Calabrese. Their work appears in journals such as Nature Structural & Molecular Biology, Genome biology, Journal of Visualized Experiments, Stem Cells and 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.