Hao Sun

4.9k total citations · 1 hit paper
120 papers, 2.9k citations indexed

About

Hao Sun is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Hao Sun has authored 120 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 14 papers in Cognitive Neuroscience. Recurrent topics in Hao Sun's work include Neuroscience and Neuropharmacology Research (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Genetics and Neurodevelopmental Disorders (8 papers). Hao Sun is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Genetics and Neurodevelopmental Disorders (8 papers). Hao Sun collaborates with scholars based in China, United States and United Kingdom. Hao Sun's co-authors include Volker Neugebauer, Guangchen Ji, Yu Fu, Miguel Pais-Vieira, Vasco Galhardo, Zhen Li, Huaxi Xu, Guojun Bu, Yanfang Li and Zhicai Chen and has published in prestigious journals such as Nature, Cell and Angewandte Chemie International Edition.

In The Last Decade

Hao Sun

112 papers receiving 2.9k citations

Hit Papers

Factors Influencing Gallstone Formation: A Review of the ... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Sun China 25 915 806 687 542 377 120 2.9k
Hui‐Ching Lin Taiwan 31 681 0.7× 915 1.1× 513 0.7× 683 1.3× 318 0.8× 90 2.9k
Zhi Zhang China 29 869 0.9× 613 0.8× 893 1.3× 278 0.5× 267 0.7× 143 2.7k
Paola Lenzi Italy 33 1.3k 1.5× 1.3k 1.6× 675 1.0× 322 0.6× 318 0.8× 183 4.1k
Hiroyuki Koike Japan 30 785 0.9× 1.1k 1.4× 392 0.6× 394 0.7× 757 2.0× 102 3.6k
Yury M. Morozov United States 25 893 1.0× 1.0k 1.2× 354 0.5× 459 0.8× 861 2.3× 47 2.8k
Heather A. Bimonte‐Nelson United States 38 735 0.8× 630 0.8× 747 1.1× 430 0.8× 173 0.5× 91 4.1k
Harald Höger Austria 31 1.6k 1.8× 1.2k 1.5× 501 0.7× 458 0.8× 161 0.4× 124 3.4k
Moritz Brandt Germany 26 974 1.1× 874 1.1× 626 0.9× 363 0.7× 104 0.3× 80 3.5k
Masaki Tanaka Japan 39 1.4k 1.6× 1.6k 2.0× 1.3k 1.9× 306 0.6× 279 0.7× 137 4.8k
Davide Viggiano Italy 31 863 0.9× 889 1.1× 314 0.5× 409 0.8× 116 0.3× 105 3.0k

Countries citing papers authored by Hao Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hao Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Sun. A scholar is included among the top collaborators of Hao 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 Hao Sun. Hao Sun 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.
Wang, Shuchao, Yan Liu, Shuai Wang, et al.. (2025). CYP321F3 mediates metabolic resistance to methoxyfenozide in rice stem borer, Chilo suppressalis. Pesticide Biochemistry and Physiology. 210. 106383–106383.
2.
Liu, Qian, et al.. (2025). Engineered charge adaptive nanoplatform overcomes the drug penetration barriers to potentiate the efficacy of chemotherapy. Materials Today Bio. 34. 102228–102228. 1 indexed citations
3.
Zhang, Yifan, Zixian Liang, Dapeng Lei, et al.. (2025). MOF Coating Enhances the Ion Tolerance of Micromotors. Angewandte Chemie International Edition. 64(31). e202508001–e202508001. 1 indexed citations
4.
Mofatteh, Mohammad, José Fidel Baizabal‐Carvallo, Jianfeng He, et al.. (2025). Identifying the predictors of ultra early neurological improvement and its role in functional outcome after endovascular thrombectomy in acute ischemic stroke. Frontiers in Neurology. 16. 1492013–1492013. 1 indexed citations
5.
Liu, Chong, Yuan Xie, Hao Sun, et al.. (2024). The Evolution and Mechanisms of Multiple-Insecticide Resistance in Rice Stem Borer, Chilo suppressalis Walker (Lepidoptera: Crambidae). Journal of Agricultural and Food Chemistry. 72(47). 26475–26490. 7 indexed citations
6.
Cong, Mei, et al.. (2024). Amphiphilic Dendrimer-Based Self-Assembled Nanodrug for Responsive Drug Delivery and Chemotherapy. ACS Applied Nano Materials. 7(23). 27365–27376. 1 indexed citations
7.
Sun, Hao, Shuai Wang, Chong Liu, et al.. (2023). Risk assessment, fitness cost, cross‐resistance, and mechanism of tetraniliprole resistance in the rice stem borer, Chilo suppressalis. Insect Science. 31(3). 835–846. 20 indexed citations
8.
Jou, Eric, Mohammad Mofatteh, Thanh N. Nguyen, et al.. (2023). 7-Day National Institutes of Health Stroke Scale as a surrogate marker predicting ischemic stroke patients’ outcome following endovascular therapy. Translational Neuroscience. 14(1). 20220307–20220307. 9 indexed citations
9.
Zeng, Bin, Furong Chen, Hao Sun, et al.. (2022). Molecular and functional analysis of chitin synthase genes in Chilo suppressalis (Lepidoptera: Crambidae). Insect Science. 30(3). 661–676. 7 indexed citations
10.
Yuan, Ming, Qiuju Li, Yufei Huang, et al.. (2022). Brain Morphological and Functional Changes in Adenomyosis with Pain: A Resting State Functional Magnetic Resonance Imaging Study. Journal of Clinical Medicine. 11(18). 5286–5286. 1 indexed citations
11.
Shi, Rongkai, et al.. (2022). Analysing Airflow Velocity in the Canopy to Improve Droplet Deposition for Air-Assisted Spraying: A Case Study on Pears. Agronomy. 12(10). 2424–2424. 9 indexed citations
12.
Zhang, Jinhui, et al.. (2022). Variable rate air‐assisted spray based on real‐time disease spot identification. Pest Management Science. 79(1). 402–414. 6 indexed citations
14.
Sun, Hao, et al.. (2021). Double ryanodine receptor mutations confer higher diamide resistance in rice stem borer, Chilo suppressalis. Pest Management Science. 77(11). 4971–4979. 24 indexed citations
15.
Sun, Li, Rui Liu, Fang Guo, et al.. (2020). Parabrachial nucleus circuit governs neuropathic pain-like behavior. Nature Communications. 11(1). 5974–5974. 115 indexed citations
16.
Fu, Yuan, Hao Sun, Zongsheng Guo, et al.. (2020). A risk score model to predict in-hospital mortality of patients with end-stage renal disease and acute myocardial infarction. Internal and Emergency Medicine. 16(4). 905–912. 6 indexed citations
17.
Wu, Chia‐Shan, et al.. (2019). mGlu5 in GABAergic neurons modulates spontaneous and psychostimulant-induced locomotor activity. Psychopharmacology. 237(2). 345–361. 6 indexed citations
19.
Wu, Zhaofei, Hao Sun, Yuanzhong Xu, et al.. (2015). GABAergic Projections from Lateral Hypothalamus to Paraventricular Hypothalamic Nucleus Promote Feeding. Journal of Neuroscience. 35(8). 3312–3318. 79 indexed citations
20.
Wu, Chia‐Shan, et al.. (2013). mGluR5 Ablation in Cortical Glutamatergic Neurons Increases Novelty-Induced Locomotion. PLoS ONE. 8(8). e70415–e70415. 33 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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