Chulan Kwon

4.0k total citations
51 papers, 2.6k citations indexed

About

Chulan Kwon is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chulan Kwon has authored 51 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 15 papers in Surgery and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chulan Kwon's work include Congenital heart defects research (31 papers), Pluripotent Stem Cells Research (24 papers) and Tissue Engineering and Regenerative Medicine (14 papers). Chulan Kwon is often cited by papers focused on Congenital heart defects research (31 papers), Pluripotent Stem Cells Research (24 papers) and Tissue Engineering and Regenerative Medicine (14 papers). Chulan Kwon collaborates with scholars based in United States, Japan and South Korea. Chulan Kwon's co-authors include Deepak Srivastava, Peter Andersen, Lincoln T. Shenje, Eric N. Olson, Zhe Han, Hideki Uosaki, Paul Cheng, Matthew Miyamoto, Vishal Nigam and Suraj Kannan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Chulan Kwon

50 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chulan Kwon United States 23 2.1k 661 433 356 254 51 2.6k
Yuka Morikawa United States 26 2.2k 1.0× 922 1.4× 616 1.4× 310 0.9× 138 0.5× 47 3.2k
Kunhua Song United States 16 1.8k 0.9× 826 1.2× 380 0.9× 155 0.4× 121 0.5× 28 2.3k
Rajan Jain United States 29 2.2k 1.0× 601 0.9× 306 0.7× 218 0.6× 117 0.5× 61 3.4k
Pingzhu Zhou United States 21 2.1k 1.0× 538 0.8× 522 1.2× 255 0.7× 68 0.3× 31 2.6k
Joel Zupicich United States 6 2.2k 1.0× 1.1k 1.7× 696 1.6× 184 0.5× 134 0.5× 7 3.0k
Nicole Dubois United States 19 2.1k 1.0× 898 1.4× 212 0.5× 125 0.4× 431 1.7× 36 2.6k
Rachel Sarig Israel 18 1.9k 0.9× 522 0.8× 407 0.9× 303 0.9× 84 0.3× 23 2.4k
Ilona S. Skerjanc Canada 35 2.7k 1.3× 462 0.7× 180 0.4× 145 0.4× 147 0.6× 64 3.2k
Graziella Messina Italy 24 2.1k 1.0× 778 1.2× 130 0.3× 182 0.5× 173 0.7× 45 2.6k

Countries citing papers authored by Chulan Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Chulan Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chulan Kwon. 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 Chulan Kwon. The network helps show where Chulan Kwon may publish in the future.

Co-authorship network of co-authors of Chulan Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Chulan Kwon. A scholar is included among the top collaborators of Chulan Kwon 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 Chulan Kwon. Chulan Kwon 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.
Kim, Hyoeun, David Suh, Hyo‐Kyoung Choi, et al.. (2024). Generation of an induced pluripotent stem cell line from a patient with arrhythmogenic right ventricular cardiomyopathy harboring a TMEM43 splice-site variant. Stem Cell Research. 78. 103453–103453. 2 indexed citations
2.
Arvanitis, Marios, Sean Murphy, Navid Koleini, et al.. (2024). A transcriptional enhancer regulates cardiac maturation. Nature Cardiovascular Research. 3(6). 666–684. 3 indexed citations
3.
Miyamoto, Matthew, Suraj Kannan, Matthew J. Anderson, et al.. (2023). Cardiac progenitors instruct second heart field fate through Wnts. Proceedings of the National Academy of Sciences. 120(4). e2217687120–e2217687120. 8 indexed citations
4.
Missinato, Maria A, Sean Murphy, Michael S. Yu, et al.. (2023). Conserved transcription factors promote cell fate stability and restrict reprogramming potential in differentiated cells. Nature Communications. 14(1). 1709–1709. 13 indexed citations
5.
Kowalski, William J., Wenling Li, Hideki Uosaki, et al.. (2022). Sympathetic Neurons Regulate Cardiomyocyte Maturation in Culture. Frontiers in Cell and Developmental Biology. 10. 850645–850645. 20 indexed citations
6.
Sun, Congshan, Suraj Kannan, In Young Choi, et al.. (2022). Human pluripotent stem cell-derived myogenic progenitors undergo maturation to quiescent satellite cells upon engraftment. Cell stem cell. 29(4). 610–619.e5. 17 indexed citations
7.
Tampakakis, Emmanouil, Stephanie Glavaris, Sean Murphy, et al.. (2021). Heart neurons use clock genes to control myocyte proliferation. Science Advances. 7(49). eabh4181–eabh4181. 22 indexed citations
8.
Kannan, Suraj, et al.. (2021). Transcriptomic entropy benchmarks stem cell-derived cardiomyocyte maturation against endogenous tissue at single cell level. PLoS Computational Biology. 17(9). e1009305–e1009305. 34 indexed citations
9.
Chanthra, Nawin, Tomoyuki Abe, Matthew Miyamoto, et al.. (2020). A Novel Fluorescent Reporter System Identifies Laminin-511/521 as Potent Regulators of Cardiomyocyte Maturation. Scientific Reports. 10(1). 4249–4249. 20 indexed citations
11.
Tampakakis, Emmanouil, Matthew Miyamoto, & Chulan Kwon. (2019). In Vitro Generation of Heart Field-specific Cardiac Progenitor Cells. Journal of Visualized Experiments. 5 indexed citations
12.
Gibbs, Brian, Lincoln T. Shenje, Peter Andersen, Matthew Miyamoto, & Chulan Kwon. (2018). β1-integrin is a cell-autonomous factor mediating the Numb pathway for cardiac progenitor maintenance. Biochemical and Biophysical Research Communications. 500(2). 256–260. 3 indexed citations
13.
Tampakakis, Emmanouil, et al.. (2017). Use of a neonatal rat system as a bioincubator to generate adult-like mature cardiomyocytes from human and mouse pluripotent stem cells. Nature Protocols. 12(10). 2097–2109. 11 indexed citations
14.
Lee, Dong I., Guangshuo Zhu, Takashi Sasaki, et al.. (2015). Phosphodiesterase 9A controls nitric-oxide-independent cGMP and hypertrophic heart disease. Nature. 519(7544). 472–476. 253 indexed citations
15.
Fernandez, Laviel, et al.. (2014). Regenerative Medicine for the Heart: Perspectives on Stem-Cell Therapy. Antioxidants and Redox Signaling. 21(14). 2018–2031. 26 indexed citations
16.
Andersen, Peter, Hideki Uosaki, Lincoln T. Shenje, & Chulan Kwon. (2012). Non-canonical Notch signaling: emerging role and mechanism. Trends in Cell Biology. 22(5). 257–265. 173 indexed citations
17.
Uosaki, Hideki, Peter Andersen, Lincoln T. Shenje, et al.. (2012). Direct Contact with Endoderm-Like Cells Efficiently Induces Cardiac Progenitors from Mouse and Human Pluripotent Stem Cells. PLoS ONE. 7(10). e46413–e46413. 28 indexed citations
18.
Kwon, Chulan, Paul Cheng, Isabelle N. King, et al.. (2011). Notch post-translationally regulates β-catenin protein in stem and progenitor cells. Nature Cell Biology. 13(10). 1244–1251. 232 indexed citations
19.
Kwon, Chulan, et al.. (2009). A regulatory pathway involving Notch1/β-catenin/Isl1 determines cardiac progenitor cell fate.. Nature Cell Biology. 11(8). 951–957. 180 indexed citations
20.
Kwon, Chulan, Zhe Han, Eric N. Olson, & Deepak Srivastava. (2005). MicroRNA1 influences cardiac differentiation in Drosophila and regulates Notch signaling. Proceedings of the National Academy of Sciences. 102(52). 18986–18991. 339 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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