Tingyu Gong

2.0k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Tingyu Gong is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tingyu Gong has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tingyu Gong's work include Pluripotent Stem Cells Research (7 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neural Engineering (4 papers). Tingyu Gong is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neural Engineering (4 papers). Tingyu Gong collaborates with scholars based in China, Madagascar and United States. Tingyu Gong's co-authors include Ping Liang, Weibiao Liao, Donald M. Bers, Verónica Sánchez-Freire, Robert C. Robbins, Joseph C. Wu, Andrew S. Lee, Feng Lan, Ziwei Pan and Karim Sallam and has published in prestigious journals such as Circulation, Nature Communications and Circulation Research.

In The Last Decade

Tingyu Gong

25 papers receiving 1.2k citations

Hit Papers

Heavy Metal Exposure and ... 2024 2026 2024 25 50 75 100
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. Heavy Metal Exposure and Cardiovascular Disease
    2024 118 citations Ziwei Pan, Tingyu Gong et al. Circulation Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tingyu Gong 687 331 307 242 240 26 1.3k
Xing Qin 530 0.8× 88 0.3× 38 0.1× 198 0.8× 348 1.4× 69 1.3k
Zhilin Jiang 533 0.8× 74 0.2× 53 0.2× 311 1.3× 173 0.7× 88 1.4k
Yasushi Kawasaki 469 0.7× 121 0.4× 49 0.2× 47 0.2× 256 1.1× 100 1.4k
Hongge Wang 773 1.1× 340 1.0× 334 1.1× 35 0.1× 48 0.2× 47 1.3k
Yue Gao 395 0.6× 82 0.2× 145 0.5× 93 0.4× 22 0.1× 50 986
Irina Korichneva 468 0.7× 143 0.4× 74 0.2× 46 0.2× 101 0.4× 25 1.2k
Xiaojing Luo 338 0.5× 105 0.3× 104 0.3× 72 0.3× 56 0.2× 42 666
Xiaowei Niu 800 1.2× 447 1.4× 356 1.2× 42 0.2× 377 1.6× 63 1.5k

Countries citing papers authored by Tingyu Gong

Since Specialization
Citations

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

Fields of papers citing papers by Tingyu Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingyu Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Tingyu Gong. A scholar is included among the top collaborators of Tingyu Gong 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 Tingyu Gong. Tingyu Gong 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.
Gong, Tingyu, et al.. (2026). TMC6 Is a Novel Therapeutic Target for Pathogenic Cardiac Hypertrophy. Circulation Research. 138(7). e327680–e327680.
2.
Wang, Xiaochen, Jiansen Gong, Xujie Liu, et al.. (2025). iPSC-derived cardiomyocytes and engineered heart tissues reveal suppressed JAK2/STAT3 signaling in LMNA-related emery-dreifuss muscular dystrophy. Redox Biology. 83. 103638–103638. 2 indexed citations
3.
Sun, Yaxun, Tingyu Gong, Jun Su, et al.. (2024). Lamin A/C deficiency-mediated ROS elevation contributes to pathogenic phenotypes of dilated cardiomyopathy in iPSC model. Nature Communications. 15(1). 7000–7000. 10 indexed citations
4.
Pan, Ziwei, Tingyu Gong, & Ping Liang. (2024). Heavy Metal Exposure and Cardiovascular Disease. Circulation Research. 134(9). 1160–1178. 118 indexed citations breakdown →
5.
Wang, Xiaochen, Yaxun Sun, Jun Su, et al.. (2023). Patient-specific iPSC-derived cardiomyocytes reveal aberrant activation of Wnt/β-catenin signaling in SCN5A-related Brugada syndrome. Stem Cell Research & Therapy. 14(1). 241–241. 8 indexed citations
6.
Sun, Yaxun, Jun Su, Xiaochen Wang, et al.. (2023). Patient-specific iPSC-derived cardiomyocytes reveal variable phenotypic severity of Brugada syndrome. EBioMedicine. 95. 104741–104741. 14 indexed citations
7.
Cao, Yuhong, Ling Tang, Jun Su, et al.. (2023). Generation of a TRPV1 knockout human pluripotent stem cell line (WAe009-A-U) using CRISPR/Cas9. Stem Cell Research. 72. 103202–103202. 1 indexed citations
8.
Zhou, Jing‐Jun, Baiping Cui, Xiaochen Wang, et al.. (2023). Overexpression of KCNJ2 enhances maturation of human-induced pluripotent stem cell-derived cardiomyocytes. Stem Cell Research & Therapy. 14(1). 92–92. 12 indexed citations
9.
10.
Zhou, Jing‐Jun, Yaxun Sun, Hongkun Wang, et al.. (2022). Generation of an induced pluripotent stem cell line (ZJULLi003-A) from a hypertrophic cardiomyopathy patient carrying MYH7/c.4384G > A mutation. Stem Cell Research. 64. 102883–102883. 1 indexed citations
11.
Zhao, Yating, Lin Zhou, Tingyu Gong, et al.. (2021). PADI6 Regulates Trophoblast Cell Migration-Invasion Through the Hippo/YAP1 Pathway in Hydatidiform Moles. Journal of Inflammation Research. Volume 14. 3489–3500. 9 indexed citations
12.
Zhou, Danni, Ying Tan, Xiaoling Liu, et al.. (2021). Patient-specific iPSC-derived endothelial cells reveal aberrant p38 MAPK signaling in atypical hemolytic uremic syndrome. Stem Cell Reports. 16(9). 2305–2319. 9 indexed citations
13.
14.
Tang, Ling, Hongkun Wang, Bing Dai, et al.. (2020). Human induced pluripotent stem cell-derived cardiomyocytes reveal abnormal TGFβ signaling in type 2 diabetes mellitus. Journal of Molecular and Cellular Cardiology. 142. 53–64. 16 indexed citations
15.
16.
Wang, Chunlei, Hua Fang, Tingyu Gong, et al.. (2019). Hydrogen gas alleviates postharvest senescence of cut rose ‘Movie star’ by antagonizing ethylene. Plant Molecular Biology. 102(3). 271–285. 41 indexed citations
17.
Tang, Ling, Fang Yao, Hongkun Wang, et al.. (2018). Inhibition of TRPC1 prevents cardiac hypertrophy via NF-κB signaling pathway in human pluripotent stem cell-derived cardiomyocytes. Journal of Molecular and Cellular Cardiology. 126. 143–154. 18 indexed citations
18.
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Wu, Yue, Xin Jin, Weibiao Liao, et al.. (2018). 5-Aminolevulinic Acid (ALA) Alleviated Salinity Stress in Cucumber Seedlings by Enhancing Chlorophyll Synthesis Pathway. Frontiers in Plant Science. 9. 635–635. 144 indexed citations
20.
Liang, Ping, Feng Lan, Andrew S. Lee, et al.. (2013). Drug Screening Using a Library of Human Induced Pluripotent Stem Cell–Derived Cardiomyocytes Reveals Disease-Specific Patterns of Cardiotoxicity. Circulation. 127(16). 1677–1691. 393 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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