Yonghe Ding

1.9k total citations
43 papers, 1.3k citations indexed

About

Yonghe Ding is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Yonghe Ding has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Cardiology and Cardiovascular Medicine and 12 papers in Cell Biology. Recurrent topics in Yonghe Ding's work include Congenital heart defects research (16 papers), Zebrafish Biomedical Research Applications (11 papers) and Cardiomyopathy and Myosin Studies (11 papers). Yonghe Ding is often cited by papers focused on Congenital heart defects research (16 papers), Zebrafish Biomedical Research Applications (11 papers) and Cardiomyopathy and Myosin Studies (11 papers). Yonghe Ding collaborates with scholars based in China, United States and Taiwan. Yonghe Ding's co-authors include Xiaolei Xu, Tiffany Hoage, Zuoshun Tang, Jie Liu, Wei‐Cai Yang, Xueying Lin, Stephen C. Ekker, Wei Huang, Xiaojing Sun and Yuji Zhang and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Plant Cell.

In The Last Decade

Yonghe Ding

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonghe Ding China 20 808 333 264 113 112 43 1.3k
Matthew J. Wolf United States 28 1.2k 1.5× 467 1.4× 206 0.8× 133 1.2× 42 0.4× 76 2.0k
Guy Brochier France 19 639 0.8× 232 0.7× 200 0.8× 108 1.0× 101 0.9× 45 1.0k
Jörg Oliver Thumfart Germany 15 759 0.9× 199 0.6× 131 0.5× 229 2.0× 93 0.8× 20 1.3k
Takehiko Ogura Japan 25 1.2k 1.5× 392 1.2× 104 0.4× 171 1.5× 452 4.0× 53 1.9k
Bruce E. Kimmel United States 16 858 1.1× 157 0.5× 134 0.5× 148 1.3× 191 1.7× 25 1.6k
Alan R. Penheiter United States 17 638 0.8× 80 0.2× 129 0.5× 185 1.6× 169 1.5× 36 1.1k
Zhaohui Wang China 22 864 1.1× 56 0.2× 129 0.5× 158 1.4× 102 0.9× 49 1.3k
Bénédicte Bertrand France 12 758 0.9× 227 0.7× 53 0.2× 110 1.0× 72 0.6× 15 997
Stephen H. Loukin United States 22 1.1k 1.4× 95 0.3× 188 0.7× 111 1.0× 406 3.6× 32 1.8k
Oscar Cerda Chile 21 598 0.7× 92 0.3× 123 0.5× 45 0.4× 42 0.4× 48 1.2k

Countries citing papers authored by Yonghe Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yonghe Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghe Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghe Ding. A scholar is included among the top collaborators of Yonghe Ding 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 Yonghe Ding. Yonghe Ding 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.
Qin, Wu-Ming, Xiaobo Yang, Shi Ouyang, et al.. (2025). Loss of lims1 causes aberrant cardiac remodeling and heart failure via activating gp130/Jak1/Stat3 pathway in zebrafish. Journal of genetics and genomics. 52(12). 1600–1611.
2.
Moossavi, Maryam, et al.. (2025). Inhibition, But Not Depletion, of Erk Signaling Ameliorates Anthracycline-Induced Cardiotoxicity in Zebrafish. JACC CardioOncology. 7(7). 833–848.
3.
Zhang, Qian, Chuanhong Wu, Li-Xia Peng, et al.. (2025). Analysis of biased allelic enhancer activity of schizophrenia-linked common variants. Communications Biology. 8(1). 1034–1034. 1 indexed citations
4.
Zhang, Lu, Mingming Niu, Yuanchao Sun, et al.. (2024). Lapatinib combined with doxorubicin causes dose-dependent cardiotoxicity partially through activating the p38MAPK signaling pathway in zebrafish embryos. Biomedicine & Pharmacotherapy. 175. 116637–116637. 1 indexed citations
5.
Dong, Wenjing, Yonghe Ding, Yuting Liu, et al.. (2024). FAdV-4-induced ferroptosis affects fat metabolism in LMH cells. Veterinary Microbiology. 293. 110068–110068. 3 indexed citations
6.
Yang, Su, et al.. (2023). Genome-wide investigation and expression profiling of LOR gene family in rapeseed under salinity and ABA stress. Frontiers in Plant Science. 14. 1197781–1197781. 2 indexed citations
7.
Ouyang, Shi, Wu-Ming Qin, Yujuan Niu, Yonghe Ding, & Yun Deng. (2022). An EGFP Knock-in Zebrafish Experimental Model Used in Evaluation of the Amantadine Drug Safety During Early Cardiogenesis. Frontiers in Cardiovascular Medicine. 9. 839166–839166. 2 indexed citations
8.
Ma, Haiying, et al.. (2022). FAdV-4 induce autophagy via the endoplasmic reticulum stress-related unfolded protein response. Veterinary Microbiology. 269. 109388–109388. 12 indexed citations
9.
Ding, Yonghe, Jiarong Li, Ping Zhu, et al.. (2021). Inhibition of mTOR or MAPK ameliorates vmhcl/myh7 cardiomyopathy in zebrafish. JCI Insight. 6(24). 29 indexed citations
10.
Li, Liping, Meihang Li, Yuanchao Sun, et al.. (2021). Disruption of MAP7D1 Gene Function Increases the Risk of Doxorubicin‐Induced Cardiomyopathy and Heart Failure. BioMed Research International. 2021(1). 8569921–8569921. 7 indexed citations
11.
Le, Tai, Anh H. Nguyen, Nikil Dutt, et al.. (2021). A novel wireless ECG system for prolonged monitoring of multiple zebrafish for heart disease and drug screening studies. Biosensors and Bioelectronics. 197. 113808–113808. 12 indexed citations
12.
Ding, Yonghe, et al.. (2020). Modeling Inherited Cardiomyopathies in Adult Zebrafish for Precision Medicine. Frontiers in Physiology. 11. 599244–599244. 16 indexed citations
13.
Yan, Jianhua, Hongsong Li, Tai Le, et al.. (2020). Aging-associated sinus arrest and sick sinus syndrome in adult zebrafish. PLoS ONE. 15(5). e0232457–e0232457. 15 indexed citations
14.
Niu, Yujuan, et al.. (2019). The pathogenicity of duck hepatitis A virus types 1 and 3 on ducklings. Poultry Science. 98(12). 6333–6339. 20 indexed citations
15.
Ma, Xiao, Yonghe Ding, Yong Wang, & Xiaolei Xu. (2018). A Doxorubicin-induced Cardiomyopathy Model in Adult Zebrafish. Journal of Visualized Experiments. 13 indexed citations
16.
Ding, Yonghe, Pamela A. Long, J. Martijn Bos, et al.. (2016). A modifier screen identifies DNAJB6 as a cardiomyopathy susceptibility gene. JCI Insight. 1(14). 35 indexed citations
17.
Wang, Zhengming, et al.. (2014). Vectorial additive half-quadratic minimization for isotropic regularization. Journal of Computational and Applied Mathematics. 281. 152–168. 1 indexed citations
18.
Hoage, Tiffany, Yonghe Ding, & Xiaolei Xu. (2011). Quantifying Cardiac Functions in Embryonic and Adult Zebrafish. Methods in molecular biology. 843. 11–20. 91 indexed citations
19.
Onuma, Takeshi A., et al.. (2011). Regulation of Temporal and Spatial Organization of Newborn GnRH Neurons by IGF Signaling in Zebrafish. Journal of Neuroscience. 31(33). 11814–11824. 35 indexed citations
20.
Clark, Karl J., Darius Balčiūnas, Hans‐Martin Pogoda, et al.. (2011). In vivo protein trapping produces a functional expression codex of the vertebrate proteome. Nature Methods. 8(6). 506–512. 138 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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