Kunhua Song

5.7k total citations · 1 hit paper
28 papers, 2.3k citations indexed

About

Kunhua Song is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Kunhua Song has authored 28 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Surgery and 5 papers in Genetics. Recurrent topics in Kunhua Song's work include Congenital heart defects research (11 papers), Pluripotent Stem Cells Research (10 papers) and Tissue Engineering and Regenerative Medicine (8 papers). Kunhua Song is often cited by papers focused on Congenital heart defects research (11 papers), Pluripotent Stem Cells Research (10 papers) and Tissue Engineering and Regenerative Medicine (8 papers). Kunhua Song collaborates with scholars based in United States, Italy and Ukraine. Kunhua Song's co-authors include Eric N. Olson, Rhonda Bassel‐Duby, Joseph A. Hill, Xiang Luo, Xiaoxia Qi, Young-Jae Nam, Wei Tan, Guo N. Huang, Eric G. Neilson and Christopher L. Smith and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kunhua Song

28 papers receiving 2.3k citations

Hit Papers

Heart repair by reprogramming non-myocytes with cardiac t... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunhua Song United States 16 1.8k 826 380 199 156 28 2.3k
Sean C. Goetsch United States 18 1.3k 0.7× 666 0.8× 434 1.1× 75 0.4× 100 0.6× 22 1.8k
David Kain Israel 18 1.1k 0.6× 529 0.6× 568 1.5× 67 0.3× 168 1.1× 24 1.8k
Rachel Sarig Israel 18 1.9k 1.0× 522 0.6× 407 1.1× 70 0.4× 248 1.6× 23 2.4k
Kevin Bersell United States 8 1.3k 0.7× 531 0.6× 659 1.7× 115 0.6× 219 1.4× 12 1.7k
John P. Leach United States 19 1.7k 0.9× 695 0.8× 502 1.3× 48 0.2× 186 1.2× 22 2.5k
Pingzhu Zhou United States 21 2.1k 1.1× 538 0.7× 522 1.4× 60 0.3× 191 1.2× 31 2.6k
Christian Freund Netherlands 20 1.4k 0.7× 564 0.7× 344 0.9× 266 1.3× 39 0.3× 42 1.8k
Annette Meeson United Kingdom 22 1.5k 0.8× 560 0.7× 156 0.4× 71 0.4× 66 0.4× 49 2.2k
Koji Iwanaga Japan 11 840 0.5× 617 0.7× 712 1.9× 95 0.5× 95 0.6× 23 1.7k
Sharon L. Paige United States 16 1.2k 0.6× 405 0.5× 157 0.4× 99 0.5× 109 0.7× 20 1.5k

Countries citing papers authored by Kunhua Song

Since Specialization
Citations

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

Fields of papers citing papers by Kunhua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunhua Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kunhua Song. A scholar is included among the top collaborators of Kunhua Song 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 Kunhua Song. Kunhua Song 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.
Arrieta, Adrian, Douglas J. Chapski, Todd Kimball, et al.. (2024). Circadian control of histone turnover during cardiac development and growth. Journal of Biological Chemistry. 300(7). 107434–107434. 2 indexed citations
3.
Chi, Congwu, et al.. (2024). Differentiation of Pluripotent Stem Cells for Disease Modeling: Learning from Heart Development. Pharmaceuticals. 17(3). 337–337. 2 indexed citations
4.
Chi, Congwu, et al.. (2023). The molecular mechanism of sialic acid transport mediated by Sialin. Science Advances. 9(3). eade8346–eade8346. 11 indexed citations
5.
Tatavosian, Roubina, Micah G. Donovan, Matthew D. Galbraith, et al.. (2023). Cell differentiation modifies the p53 transcriptional program through a combination of gene silencing and constitutive transactivation. Cell Death and Differentiation. 30(4). 952–965. 14 indexed citations
6.
Chi, Congwu & Kunhua Song. (2023). Cellular reprogramming of fibroblasts in heart regeneration. Journal of Molecular and Cellular Cardiology. 180. 84–93. 9 indexed citations
7.
Riching, Andrew S. & Kunhua Song. (2021). Cardiac Regeneration: New Insights Into the Frontier of Ischemic Heart Failure Therapy. Frontiers in Bioengineering and Biotechnology. 8. 637538–637538. 19 indexed citations
8.
Knight, Walter E., et al.. (2021). A simple protocol to produce mature human-induced pluripotent stem cell-derived cardiomyocytes. STAR Protocols. 2(4). 100912–100912. 9 indexed citations
9.
Favero, Giorgia Del, Alois Bonifacio, Teisha J. Rowland, et al.. (2020). Danon Disease-Associated LAMP-2 Deficiency Drives Metabolic Signature Indicative of Mitochondrial Aging and Fibrosis in Cardiac Tissue and hiPSC-Derived Cardiomyocytes. Journal of Clinical Medicine. 9(8). 2457–2457. 15 indexed citations
10.
Riching, Andrew S., Etienne Danis, Yuanbiao Zhao, et al.. (2020). Suppression of canonical TGF-β signaling enables GATA4 to interact with H3K27me3 demethylase JMJD3 to promote cardiomyogenesis. Journal of Molecular and Cellular Cardiology. 153. 44–59. 24 indexed citations
11.
Stratton, Matthew S., Rushita A. Bagchi, Marina Barreto Felisbino, et al.. (2019). Dynamic Chromatin Targeting of BRD4 Stimulates Cardiac Fibroblast Activation. Circulation Research. 125(7). 662–677. 123 indexed citations
12.
Han, Ke-Jun, et al.. (2018). Deubiquitylase USP9X maintains centriolar satellite integrity by stabilizing pericentriolar material 1 protein. Journal of Cell Science. 132(2). 25 indexed citations
13.
Riching, Andrew S., Yuanbiao Zhao, Yingqiong Cao, et al.. (2018). Suppression of Pro-fibrotic Signaling Potentiates Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts into Induced Cardiomyocytes. Journal of Visualized Experiments. 4 indexed citations
14.
Bagchi, Rushita A., Bradley S. Ferguson, Matthew S. Stratton, et al.. (2018). HDAC11 suppresses the thermogenic program of adipose tissue via BRD2. JCI Insight. 3(15). 82 indexed citations
15.
Zhou, Huanyu, María Gabriela Morales, Hisayuki Hashimoto, et al.. (2017). ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression. Genes & Development. 31(17). 1770–1783. 76 indexed citations
16.
Zhao, Yuanbiao, Pilar Londono, Yingqiong Cao, et al.. (2015). High-efficiency reprogramming of fibroblasts into cardiomyocytes requires suppression of pro-fibrotic signalling. Nature Communications. 6(1). 8243–8243. 182 indexed citations
17.
Nam, Young‐Jae, Kunhua Song, Xiang Luo, et al.. (2013). Reprogramming of human fibroblasts toward a cardiac fate. Proceedings of the National Academy of Sciences. 110(14). 5588–5593. 386 indexed citations
18.
Nam, Young-Jae, Kunhua Song, & Eric N. Olson. (2013). Heart repair by cardiac reprogramming. Nature Medicine. 19(4). 413–415. 44 indexed citations
19.
Song, Kunhua, Young-Jae Nam, Xiang Luo, et al.. (2012). Heart repair by reprogramming non-myocytes with cardiac transcription factors. Nature. 485(7400). 599–604. 860 indexed citations breakdown →
20.
Song, Kunhua, Johannes Backs, John McAnally, et al.. (2006). The Transcriptional Coactivator CAMTA2 Stimulates Cardiac Growth by Opposing Class II Histone Deacetylases. Cell. 125(3). 453–466. 129 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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