Li‐Fang Chu

3.2k total citations · 1 hit paper
28 papers, 2.0k citations indexed

About

Li‐Fang Chu is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Li‐Fang Chu has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Li‐Fang Chu's work include Single-cell and spatial transcriptomics (12 papers), Pluripotent Stem Cells Research (7 papers) and CRISPR and Genetic Engineering (6 papers). Li‐Fang Chu is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Pluripotent Stem Cells Research (7 papers) and CRISPR and Genetic Engineering (6 papers). Li‐Fang Chu collaborates with scholars based in United States, Canada and Australia. Li‐Fang Chu's co-authors include James A. Thomson, Ron Stewart, Zhonggang Hou, Christina Kendziorski, Ning Leng, Sara E. Howden, Yan Zhang, Nicholas E. Propson, Erik J. Sontheimer and Michael A. Newton and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Li‐Fang Chu

28 papers receiving 2.0k citations

Hit Papers

Efficient genome engineering in human pluripotent stem ce... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Fang Chu United States 16 1.8k 267 187 117 111 28 2.0k
Sourav Choudhury India 8 1.5k 0.8× 154 0.6× 353 1.9× 56 0.5× 135 1.2× 21 1.8k
Oren Ram Israel 13 1.5k 0.8× 226 0.8× 185 1.0× 66 0.6× 91 0.8× 23 1.7k
Kendell Clement United States 23 2.8k 1.5× 183 0.7× 680 3.6× 48 0.4× 192 1.7× 41 3.0k
Yonatan Stelzer Israel 18 1.9k 1.1× 203 0.8× 573 3.1× 24 0.2× 90 0.8× 26 2.2k
Jonathan Y. Hsu United States 13 2.0k 1.1× 116 0.4× 385 2.1× 62 0.5× 198 1.8× 16 2.1k
Martin Teichmann France 29 2.6k 1.4× 350 1.3× 345 1.8× 19 0.2× 176 1.6× 47 3.0k
Eswar Prasad R. Iyer United States 12 1.4k 0.8× 64 0.2× 219 1.2× 36 0.3× 135 1.2× 19 1.7k
Jonathan D. Chesnut United States 22 2.1k 1.2× 242 0.9× 492 2.6× 17 0.1× 154 1.4× 38 2.4k
Johanna Goldmann United States 8 1.5k 0.8× 147 0.6× 265 1.4× 39 0.3× 165 1.5× 10 1.7k

Countries citing papers authored by Li‐Fang Chu

Since Specialization
Citations

This map shows the geographic impact of Li‐Fang 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 Li‐Fang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Fang Chu more than expected).

Fields of papers citing papers by Li‐Fang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Fang 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 Li‐Fang Chu. The network helps show where Li‐Fang Chu may publish in the future.

Co-authorship network of co-authors of Li‐Fang Chu

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

All Works

20 of 20 papers shown
1.
Meyer, Susanne, et al.. (2024). Establishment of Transgene‐Free Porcine Induced Pluripotent Stem Cells. Current Protocols. 4(5). e1012–e1012. 2 indexed citations
2.
Chu, Li‐Fang, et al.. (2024). Species-specific roles of the Notch ligands, receptors, and targets orchestrating the signaling landscape of the segmentation clock. Frontiers in Cell and Developmental Biology. 11. 1327227–1327227. 2 indexed citations
3.
Deshpande, Atul, Li‐Fang Chu, Ron Stewart, & Anthony Gitter. (2022). Network inference with Granger causality ensembles on single-cell transcriptomics. Cell Reports. 38(6). 110333–110333. 54 indexed citations
4.
Bacher, Rhonda, Li‐Fang Chu, Jennifer M. Bolin, et al.. (2021). Enhancing biological signals and detection rates in single-cell RNA-seq experiments with cDNA library equalization. Nucleic Acids Research. 50(2). e12–e12. 5 indexed citations
5.
Chu, Li‐Fang, Srikumar Sengupta, Ning Leng, et al.. (2020). Reproducibility across single-cell RNA-seq protocols for spatial ordering analysis. PLoS ONE. 15(9). e0239711–e0239711. 4 indexed citations
6.
Joseph, Diya B., et al.. (2019). Epithelial DNA methyltransferase-1 regulates cell survival, growth and maturation in developing prostatic buds. Developmental Biology. 447(2). 157–169. 2 indexed citations
7.
Chu, Li‐Fang, Daniel Mamott, Zijian Ni, et al.. (2019). An In Vitro Human Segmentation Clock Model Derived from Embryonic Stem Cells. Cell Reports. 28(9). 2247–2255.e5. 47 indexed citations
8.
Bacher, Rhonda, Scott Swanson, Peng Jiang, et al.. (2018). Spatial patterns of gene expression are unveiled in the chick primitive streak by ordering single-cell transcriptomes. Developmental Biology. 439(1). 30–41. 8 indexed citations
9.
Bacher, Rhonda, Ning Leng, Li‐Fang Chu, et al.. (2018). Trendy: segmented regression analysis of expression dynamics in high-throughput ordered profiling experiments. BMC Bioinformatics. 19(1). 380–380. 25 indexed citations
10.
Zhang, Jue, Li‐Fang Chu, Zhonggang Hou, et al.. (2017). Functional characterization of human pluripotent stem cell-derived arterial endothelial cells. Proceedings of the National Academy of Sciences. 114(30). E6072–E6078. 105 indexed citations
11.
Bacher, Rhonda, Li‐Fang Chu, Ning Leng, et al.. (2017). SCnorm: robust normalization of single-cell RNA-seq data. Nature Methods. 14(6). 584–586. 190 indexed citations
12.
Phillips, M. Joseph, Peng Jiang, Sara E. Howden, et al.. (2017). A Novel Approach to Single Cell RNA-Sequence Analysis Facilitates In Silico Gene Reporting of Human Pluripotent Stem Cell-Derived Retinal Cell Types. Stem Cells. 36(3). 313–324. 46 indexed citations
13.
Leng, Ning, Jeea Choi, Li‐Fang Chu, et al.. (2016). OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data. Bioinformatics. 32(9). 1408–1410. 14 indexed citations
14.
Lee, Wei‐Hua, Hitoshi Higuchi, Sakae Ikeda, et al.. (2016). Mouse Tmem135 mutation reveals a mechanism involving mitochondrial dynamics that leads to age-dependent retinal pathologies. eLife. 5. 39 indexed citations
15.
Leng, Ning, Li‐Fang Chu, Christopher Barry, et al.. (2015). Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments. Nature Methods. 12(10). 947–950. 116 indexed citations
16.
Vereide, David, Vernella Vickerman, Scott Swanson, et al.. (2014). An Expandable, Inducible Hemangioblast State Regulated by Fibroblast Growth Factor. Stem Cell Reports. 3(6). 1043–1057. 21 indexed citations
17.
Stewart, Ron, Shulan Tian, Jeff Nie, et al.. (2013). Comparative RNA-seq Analysis in the Unsequenced Axolotl: The Oncogene Burst Highlights Early Gene Expression in the Blastema. PLoS Computational Biology. 9(3). e1002936–e1002936. 105 indexed citations
18.
Déjosez, Marion, Joshua S. Krumenacker, Laura J. Zitur, et al.. (2008). Ronin Is Essential for Embryogenesis and the Pluripotency of Mouse Embryonic Stem Cells. Cell. 133(7). 1162–1174. 159 indexed citations
19.
Déjosez, Marion, Joshua S. Krumenacker, Laura J. Zitur, et al.. (2008). Ronin Is Essential for Embryogenesis and the Pluripotency of Mouse Embryonic Stem Cells. Cell. 134(4). 692–692. 10 indexed citations
20.
Shah, Rina, Olga Medina-Martínez, Li‐Fang Chu, Rodney C. Samaco, & Milan Jamrich. (2006). Expression of FoxP2 during zebrafish development and in the adult brain. The International Journal of Developmental Biology. 50(4). 435–438. 29 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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