Ci Chu

4.7k total citations · 3 hit papers
17 papers, 3.4k citations indexed

About

Ci Chu is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, Ci Chu has authored 17 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 1 paper in Spectroscopy. Recurrent topics in Ci Chu's work include Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (9 papers). Ci Chu is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (9 papers). Ci Chu collaborates with scholars based in United States, Germany and Singapore. Ci Chu's co-authors include Howard Y. Chang, Kun Qu, Franklin L. Zhong, Maja Artandi, Jeffrey J. Quinn, Ryan A. Flynn, Terry Magnuson, Qiangfeng Cliff Zhang, Édith Heard and J. Mauro Calabrese and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Ci Chu

15 papers receiving 3.4k citations

Hit Papers

Genomic Maps of Long Noncoding RNA Occupancy Reveal Princ... 2011 2026 2016 2021 2011 2015 2012 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genomic Maps of Long Noncoding RNA Occupancy Reveal Principles of RNA-Chromatin Interactions
    2011 992 citations Ci Chu, Kun Qu et al. Molecular Cell profile →
  2. Systematic Discovery of Xist RNA Binding Proteins
    2015 777 citations Ci Chu, Qiangfeng Cliff Zhang et al. Cell profile →
  3. Control of somatic tissue differentiation by the long non-coding RNA TINCR
    2012 742 citations Markus Kretz, Zurab Siprashvili et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ci Chu United States 13 3.1k 2.4k 238 172 159 17 3.4k
Hongjae Sunwoo United States 16 4.0k 1.3× 2.9k 1.2× 437 1.8× 176 1.0× 130 0.8× 17 4.5k
Wenqian Hu United States 18 1.6k 0.5× 1.0k 0.4× 70 0.3× 50 0.3× 196 1.2× 49 2.0k
Therese A. Yario United States 18 2.8k 0.9× 1.8k 0.7× 85 0.4× 42 0.2× 259 1.6× 20 3.3k
Run-Wen Yao China 7 2.3k 0.7× 1.6k 0.7× 73 0.3× 35 0.2× 120 0.8× 12 2.5k
Kelin Ru Australia 10 1.4k 0.5× 1.1k 0.5× 149 0.6× 69 0.4× 66 0.4× 11 1.6k
Carolyn G. Marsden United States 10 2.0k 0.6× 1.1k 0.4× 150 0.6× 31 0.2× 138 0.9× 13 2.3k
Monica Ballarino Italy 24 2.1k 0.7× 1.2k 0.5× 235 1.0× 21 0.1× 135 0.8× 40 2.4k
Yuya Ogawa Japan 22 2.3k 0.8× 1.1k 0.5× 582 2.4× 51 0.3× 128 0.8× 51 2.7k
Huangkai Zhou China 21 3.1k 1.0× 2.5k 1.0× 219 0.9× 24 0.1× 126 0.8× 28 3.6k
Chenguang Gong United States 10 1.6k 0.5× 1.1k 0.5× 66 0.3× 68 0.4× 49 0.3× 14 1.8k

Countries citing papers authored by Ci Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ci Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Ci Chu. A scholar is included among the top collaborators of Ci Chu 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 Ci Chu. Ci Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Lubeck, Eric, Mohammad M. Sultan, Zachary F. Phillips, et al.. (2025). A pooled Cell Painting CRISPR screening platform enables de novo inference of gene function by self-supervised deep learning. Nature Communications. 17(1). 77–77.
2.
Chu, Ci, Carolyn Vargas, Gerald N. Rechberger, et al.. (2025). Capturing G protein-coupled receptors into native lipid-bilayer nanodiscs using new diisobutylene/maleic acid (DIBMA) copolymers. Methods. 244. 55–64.
3.
Guo, Michael H., Hrishikesh Lokhande, Ci Chu, et al.. (2022). Dissection of multiple sclerosis genetics identifies B and CD4+ T cells as driver cell subsets. Genome biology. 23(1). 127–127. 8 indexed citations
4.
Das, Manabendra, Eugenio P. Patallo, Annette Meister, et al.. (2022). Electroneutral Polymer Nanodiscs Enable Interference‐Free Probing of Membrane Proteins in a Lipid‐Bilayer Environment. Small. 18(47). e2202492–e2202492. 27 indexed citations
5.
Bharadwaj, Maheetha, Ryan A. Flynn, Terry Magnuson, et al.. (2020). Systematic Discovery of Xist RNA Binding Proteins. UNC Libraries. 3 indexed citations
6.
Fang, Jingwen, Qing Ma, Ci Chu, et al.. (2019). PIRCh-seq: functional classification of non-coding RNAs associated with distinct histone modifications. Genome biology. 20(1). 292–292. 23 indexed citations
7.
Chu, Ci & Howard Y. Chang. (2018). ChIRP-MS: RNA-Directed Proteomic Discovery. Methods in molecular biology. 1861. 37–45. 42 indexed citations
8.
Flynn, Ryan A., T. Brian, Adam J. Rubin, et al.. (2016). 7SK-BAF axis controls pervasive transcription at enhancers. Nature Structural & Molecular Biology. 23(3). 231–238. 86 indexed citations
9.
Chu, Ci & Howard Y. Chang. (2016). Understanding RNA-Chromatin Interactions Using Chromatin Isolation by RNA Purification (ChIRP). Methods in molecular biology. 1480. 115–123. 52 indexed citations
10.
Chu, Ci, Qiangfeng Cliff Zhang, Ryan A. Flynn, et al.. (2015). Systematic Discovery of Xist RNA Binding Proteins. Cell. 161(2). 404–416. 777 indexed citations breakdown →
11.
Chu, Ci, Robert C. Spitale, & Howard Y. Chang. (2015). Technologies to probe functions and mechanisms of long noncoding RNAs. Nature Structural & Molecular Biology. 22(1). 29–35. 115 indexed citations
12.
Quinn, Jeffrey J., İbrahim Ilik, Kun Qu, et al.. (2014). Revealing long noncoding RNA architecture and functions using domain-specific chromatin isolation by RNA purification. Nature Biotechnology. 32(9). 933–940. 138 indexed citations
13.
Kretz, Markus, Zurab Siprashvili, Ci Chu, et al.. (2012). Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature. 493(7431). 231–235. 742 indexed citations breakdown →
14.
Chu, Ci, Jeffrey J. Quinn, & Howard Y. Chang. (2012). Chromatin Isolation by RNA Purification (ChIRP). Journal of Visualized Experiments. 281 indexed citations
15.
Chu, Ci, Jeffrey J. Quinn, & Howard Y. Chang. (2012). Chromatin Isolation by RNA Purification (ChIRP). Journal of Visualized Experiments. 92 indexed citations
16.
Chu, Ci, Kun Qu, Franklin L. Zhong, Maja Artandi, & Howard Y. Chang. (2011). Genomic Maps of Long Noncoding RNA Occupancy Reveal Principles of RNA-Chromatin Interactions. Molecular Cell. 44(4). 667–678. 992 indexed citations breakdown →
17.
Wang, Zheng-Xu, et al.. (2008). The Transcription Factor Zfp281 Controls Embryonic Stem Cell Pluripotency by Direct Activation and Repression of Target Genes. Stem Cells. 26(11). 2791–2799. 59 indexed citations

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.

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