Han Su

542 total citations · 1 hit paper
19 papers, 420 citations indexed

About

Han Su is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Physiology. According to data from OpenAlex, Han Su has authored 19 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Han Su's work include Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (4 papers) and Adipose Tissue and Metabolism (4 papers). Han Su is often cited by papers focused on Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (4 papers) and Adipose Tissue and Metabolism (4 papers). Han Su collaborates with scholars based in China, Canada and United States. Han Su's co-authors include Gang Shu, Qingyan Jiang, Xiaotong Zhu, Songbo Wang, Ping Gao, Min Song, Fenglin Zhang, Lina Wang, Yingying Meng and Xiaohua Yang and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Agricultural and Food Chemistry and The FASEB Journal.

In The Last Decade

Han Su

17 papers receiving 412 citations

Hit Papers

Superionic amorphous NaTaCl6 halide electrolyte for highl... 2024 2026 2025 2024 25 50 75

Peers

Han Su
Han Su
Citations per year, relative to Han Su Han Su (= 1×) peers Liangzi Li

Countries citing papers authored by Han Su

Since Specialization
Citations

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

Fields of papers citing papers by Han Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Su

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

All Works

19 of 19 papers shown
1.
Fu, Jiamin, Han Su, Xiaona Li, et al.. (2025). Chemical Bond Covalency in Superionic Halide Solid‐State Electrolytes. Angewandte Chemie International Edition. 64(32). e202508835–e202508835. 4 indexed citations
2.
Fu, Jiamin, Han Su, Xiaona Li, et al.. (2025). Chemical Bond Covalency in Superionic Halide Solid‐State Electrolytes. Angewandte Chemie. 137(32).
3.
Su, Han, Jiamin Fu, Sufu Liu, et al.. (2025). Metal-incorporated interphases formed between inorganic solid electrolytes and Li metal: beneficial or detrimental?. 1(2). 242–249. 1 indexed citations
4.
Zhu, Huijuan, Qiming Liu, Jie Wang, & Han Su. (2025). Electrochemical-driven activation by stacked layered sulfur-carbon anode for fast and stable sodium storage. Journal of Energy Chemistry. 107. 819–831.
5.
Zeng, Tuo, Han Su, Mei Wang, et al.. (2025). The Role of MYC2 Transcription Factors in Plant Secondary Metabolism and Stress Response Mechanisms. Plants. 14(8). 1255–1255. 4 indexed citations
6.
Zhang, Shumin, Feipeng Zhao, Han Su, et al.. (2024). Cubic Iodide LixYI3+x Superionic Conductors through Defect Manipulation for All‐Solid‐State Li Batteries. Angewandte Chemie International Edition. 63(12). e202316360–e202316360. 24 indexed citations
7.
Zhang, Shumin, Feipeng Zhao, Han Su, et al.. (2024). Cubic Iodide LixYI3+x Superionic Conductors through Defect Manipulation for All‐Solid‐State Li Batteries. Angewandte Chemie. 136(12). 2 indexed citations
8.
Hu, Yang, Jiamin Fu, Jing Luo, et al.. (2024). Superionic amorphous NaTaCl6 halide electrolyte for highly reversible all-solid-state Na-ion batteries. Matter. 7(3). 1018–1034. 76 indexed citations breakdown →
9.
Song, Min, Fenglin Zhang, Lin Chen, et al.. (2021). Dietary chenodeoxycholic acid improves growth performance and intestinal health by altering serum metabolic profiles and gut bacteria in weaned piglets. Animal nutrition. 7(2). 365–375. 37 indexed citations
12.
Su, Han, Lijuan Sun, Yongxiang Li, et al.. (2019). Effects of maternal dietary supplementation of phytosterol esters during gestation on muscle development of offspring in mice. Biochemical and Biophysical Research Communications. 520(2). 479–485. 4 indexed citations
15.
Song, Min, Fenglin Zhang, Han Su, et al.. (2019). Chenodeoxycholic Acid (CDCA) Protects against the Lipopolysaccharide-Induced Impairment of the Intestinal Epithelial Barrier Function via the FXR-MLCK Pathway. Journal of Agricultural and Food Chemistry. 67(32). 8868–8874. 73 indexed citations
18.
Zhang, Fenglin, Yingying Meng, Cong Yuan, et al.. (2018). Phytol stimulates the browning of white adipocytes through the activation of AMP-activated protein kinase (AMPK) α in mice fed high-fat diet. Food & Function. 9(4). 2043–2050. 41 indexed citations
19.
Su, Han, et al.. (2017). Upregulation of ATG4A promotes osteosarcoma cell epithelial-to-mesenchymal transition through the Notch signaling pathway.. PubMed. 10(7). 7975–7982. 7 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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