Yiming Sun

1.4k total citations
55 papers, 1.0k citations indexed

About

Yiming Sun is a scholar working on Molecular Biology, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Yiming Sun has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Computer Networks and Communications and 11 papers in Control and Systems Engineering. Recurrent topics in Yiming Sun's work include Distributed and Parallel Computing Systems (9 papers), Stability and Control of Uncertain Systems (8 papers) and Scientific Computing and Data Management (7 papers). Yiming Sun is often cited by papers focused on Distributed and Parallel Computing Systems (9 papers), Stability and Control of Uncertain Systems (8 papers) and Scientific Computing and Data Management (7 papers). Yiming Sun collaborates with scholars based in China, United States and Hong Kong. Yiming Sun's co-authors include Jinyong Yu, Feng Zhang, Zhiheng Xu, Jing Ai, Dan Xu, Jianxiang Huang, Lishuai Li, Meiyu Geng, Wenhu Duan and Jian Ding and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Developmental Cell.

In The Last Decade

Yiming Sun

52 papers receiving 1.0k citations

Peers

Yiming Sun

CSE

CNC

ONCOL

Young Hwan Chang United States

Youhui Zhang China

Cong Zheng China

Shenghui Wang China

Yusheng Xie China

Xiaoying Gao New Zealand

Αλέξανδρος Παπανικολάου Greece

Nilamadhab Mishra India

Jinling Jiang China

Atsushi Kanai Japan

Young Hwan Chang United States

Yiming Sun

423 ×1.1

209 ×1.5

CSE

76 ×0.6

132 ×1.0

CNC

492 ×3.9

ONCOL

Citations per year, relative to Yiming Sun Yiming Sun (= 1×) peers Young Hwan Chang

Countries citing papers authored by Yiming Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yiming Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Sun

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

All Works

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20 of 20 papers shown

Wang, Li, Shihao Guo, Guanghui Leng, et al.. (2025). First‐Principles Study of Mechanical Properties, Electronic Structure, High‐Temperature and High‐Pressure Properties of Au–Ga Intermetallic Compounds. physica status solidi (b). 262(4).

Zhang, Liguo, et al.. (2025). ERTFNet: Enhanced RGB-T Fusion Network for semantic segmentation by integrating thermal edge features. Computer Vision and Image Understanding. 259. 104421–104421.

Liu, Yuting, Xin Luo, Yiming Sun, et al.. (2024). Comparative single-cell multiome identifies evolutionary changes in neural progenitor cells during primate brain development. Developmental Cell. 60(3). 414–428.e8. 3 indexed citations

Xu, Xixiang, et al.. (2023). Application of Electron Paramagnetic Resonance in an Electrochemical Energy Storage System. Magnetochemistry. 9(3). 63–63. 11 indexed citations

Wang, Pingyuan, Yajing Wang, Shanshan Song, et al.. (2023). Identification of [1,2,4]Triazolo[4,3-a]pyrazine PARP1 inhibitors with overcome acquired resistance activities. European Journal of Medicinal Chemistry. 259. 115709–115709. 7 indexed citations

Wang, Xiaomin, Jun Xu, Yiming Sun, et al.. (2023). Hedgehog pathway orchestrates the interplay of histone modifications and tailors combination epigenetic therapies in breast cancer. Acta Pharmaceutica Sinica B. 13(6). 2601–2612. 16 indexed citations

Sun, Yiming, et al.. (2021). Finite-time output feedback control for nonlinear networked discrete-time systems with an adaptive event-triggered scheme. Journal of the Franklin Institute. 358(12). 6035–6056. 10 indexed citations

Duan, Yuting, Yi Wang, Yiming Sun, et al.. (2021). SAF-248, a novel PI3Kδ-selective inhibitor, potently suppresses the growth of diffuse large B-cell lymphoma. Acta Pharmacologica Sinica. 43(1). 209–219. 10 indexed citations

Xie, Shao, Wei Fan, Yiming Sun, et al.. (2019). EZH2 inhibitors abrogate upregulation of trimethylation of H3K27 by CDK9 inhibitors and potentiate its activity against diffuse large B-cell lymphoma. Haematologica. 105(4). 1021–1031. 7 indexed citations

10.

Zhang, Kaili, Qianqian Shen, Yanfen Fang, et al.. (2019). AZD9291 inactivates the PRC2 complex to mediate tumor growth inhibition. Acta Pharmacologica Sinica. 40(12). 1587–1595. 21 indexed citations

11.

Liu, Xueling, Yichao Xu, Yuxiang Wang, et al.. (2018). Decrease in phosphorylated ERK indicates the therapeutic efficacy of a clinical PI3Kα-selective inhibitor CYH33 in breast cancer. Cancer Letters. 433. 273–282. 18 indexed citations

12.

Xia, Peng, et al.. (2018). Evaluation of Deuterium-Labeled JNJ38877605: Pharmacokinetic, Metabolic, and in Vivo Antitumor Profiles. Chemical Research in Toxicology. 31(11). 1213–1218. 43 indexed citations

13.

Ai, Jing, Yi Chen, Peng Xia, et al.. (2017). Preclinical Evaluation of SCC244 (Glumetinib), a Novel, Potent, and Highly Selective Inhibitor of c-Met in MET-dependent Cancer Models. Molecular Cancer Therapeutics. 17(4). 751–762. 26 indexed citations

14.

Xu, Yichao, Xiang Wang, Yi Chen, et al.. (2017). Integration of Receptor Tyrosine Kinases Determines Sensitivity to PI3Kα-selective Inhibitors in Breast Cancer. Theranostics. 7(4). 974–986. 10 indexed citations

15.

Liu, Yang, Shiyu Jin, Peng Xia, et al.. (2015). Pyridazinone derivatives displaying highly potent and selective inhibitory activities against c-Met tyrosine kinase. European Journal of Medicinal Chemistry. 108. 322–333. 25 indexed citations

16.

Chen, Danqi, Aijun Shen, Jian Li, et al.. (2014). Discovery of potent N-(isoxazol-5-yl)amides as HSP90 inhibitors. European Journal of Medicinal Chemistry. 87. 765–781. 32 indexed citations

17.

Xu, Dan, Feng Zhang, Yaqing Wang, Yiming Sun, & Zhiheng Xu. (2014). Microcephaly-Associated Protein WDR62 Regulates Neurogenesis through JNK1 in the Developing Neocortex. Cell Reports. 6(1). 104–116. 65 indexed citations

18.

Plale, Beth, et al.. (2012). Hierarchical MapReduce: towards simplified cross‐domain data processing. Concurrency and Computation Practice and Experience. 26(4). 878–893. 4 indexed citations

19.

Yang, Tao, Yiming Sun, Feng Zhang, et al.. (2012). POSH Localizes Activated Rac1 to Control the Formation of Cytoplasmic Dilation of the Leading Process and Neuronal Migration. Cell Reports. 2(3). 640–651. 52 indexed citations

20.

Sun, Yiming, Fei Teng, Tao Yang, et al.. (2010). The Suppression of CRMP2 Expression by Bone Morphogenetic Protein (BMP)-SMAD Gradient Signaling Controls Multiple Stages of Neuronal Development. Journal of Biological Chemistry. 285(50). 39039–39050. 44 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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