Bin Dai

2.1k total citations
64 papers, 1.7k citations indexed

About

Bin Dai is a scholar working on Molecular Biology, Biomaterials and Materials Chemistry. According to data from OpenAlex, Bin Dai has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Biomaterials and 15 papers in Materials Chemistry. Recurrent topics in Bin Dai's work include Alzheimer's disease research and treatments (12 papers), Supramolecular Self-Assembly in Materials (12 papers) and Catalytic Processes in Materials Science (8 papers). Bin Dai is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Supramolecular Self-Assembly in Materials (12 papers) and Catalytic Processes in Materials Science (8 papers). Bin Dai collaborates with scholars based in China, United States and Germany. Bin Dai's co-authors include Cong Liu, Fuzhong Zhang, Yi Liang, Dan Li, Mengchao Cui, Jonathan M. Galazka, David L. Kaplan, Wenwen Huang, Pranay Ladiwala and Christopher H. Bowen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Bin Dai

61 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Dai China 22 884 543 293 249 209 64 1.7k
Valeria Vetri Italy 28 1.2k 1.3× 389 0.7× 588 2.0× 360 1.4× 343 1.6× 81 2.4k
Sharon Gilead Israel 22 703 0.8× 605 1.1× 486 1.7× 243 1.0× 253 1.2× 34 1.5k
Vito Foderà Denmark 24 929 1.1× 397 0.7× 518 1.8× 254 1.0× 167 0.8× 76 1.7k
Rishi Sharma United States 26 902 1.0× 453 0.8× 250 0.9× 221 0.9× 325 1.6× 69 2.1k
Sigal Rencus‐Lazar Israel 23 725 0.8× 616 1.1× 141 0.5× 364 1.5× 341 1.6× 53 1.6k
Zhiwen Hu China 23 599 0.7× 455 0.8× 182 0.6× 444 1.8× 392 1.9× 91 1.6k
Andreas Åslund Norway 25 826 0.9× 642 1.2× 694 2.4× 520 2.1× 631 3.0× 46 2.4k
Pavan K. Challa United Kingdom 18 536 0.6× 348 0.6× 214 0.7× 184 0.7× 397 1.9× 35 1.3k
Yin Luo China 28 1.2k 1.4× 765 1.4× 773 2.6× 415 1.7× 320 1.5× 51 2.3k
Shai Rahimipour Israel 25 642 0.7× 313 0.6× 310 1.1× 312 1.3× 270 1.3× 64 1.7k

Countries citing papers authored by Bin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Dai. A scholar is included among the top collaborators of Bin Dai 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 Bin Dai. Bin Dai 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.
Li, Haiyan, et al.. (2025). Interaction of Triglyceride-Glucose Index and Metabolic Syndrome with Risk of Incident Stroke Among Middle-Aged and Older Chinese Adults. Journal of Multidisciplinary Healthcare. Volume 18. 947–955. 1 indexed citations
2.
Zou, Yuanyuan, Jie Cheng, Yongchun Shu, et al.. (2025). Dynamic oxygen sensing technology: progress from large-scale equipment to portable monitoring. Biosensors and Bioelectronics. 294. 118166–118166.
3.
Zhang, Yue, et al.. (2025). Solar-induced hydrogen evolution from alcohols in a tungsten polyoxometalate mediated dual-catalyst system. Chemical Engineering Journal. 519. 164981–164981.
4.
Dai, Bin, et al.. (2024). Ambient-pressure and low-temperature hydrogenation of nitrogen to ammonia in a synergetic catalytic system. Chemical Engineering Journal. 493. 152506–152506. 4 indexed citations
5.
Feng, Shaoqing, Hao Xu, Jinhong Guo, et al.. (2024). Ambient energy harvesters in wearable electronics: fundamentals, methodologies, and applications. Journal of Nanobiotechnology. 22(1). 497–497. 17 indexed citations
6.
Wan, Yilin, et al.. (2023). Anticancer Activity of Bitter Melon-Derived Vesicles Extract against Breast Cancer. Cells. 12(6). 824–824. 28 indexed citations
7.
Wang, Qinqin, et al.. (2023). Deactivation and Regeneration of Nitrogen Doped Carbon Catalyst for Acetylene Hydrochlorination. Molecules. 28(3). 956–956. 10 indexed citations
8.
Zeng, Yanping, Bin Dai, Yin Liu, et al.. (2023). Excess PrPC inhibits muscle cell differentiation via miRNA-enhanced liquid–liquid phase separation implicated in myopathy. Nature Communications. 14(1). 8131–8131. 9 indexed citations
9.
Lu, Ming, et al.. (2023). Application of SnOx/AC catalyst for the acetylene hydrochlorination. Nano Research. 16(5). 6577–6583. 5 indexed citations
10.
Li, Fei, et al.. (2023). Nitrogen and phosphorus co-doped activated carbon induces high density Cu+ active center for acetylene hydrochlorination. Chinese Journal of Chemical Engineering. 59. 193–199. 8 indexed citations
11.
Wang, Liqiang, Yeyang Ma, Kun Zhao, et al.. (2022). Cryo-EM structure of an amyloid fibril formed by full-length human SOD1 reveals its conformational conversion. Nature Communications. 13(1). 3491–3491. 33 indexed citations
12.
Gao, Chao, Jinge Gu, Hong Zhang, et al.. (2022). Hyperosmotic-stress-induced liquid-liquid phase separation of ALS-related proteins in the nucleus. Cell Reports. 40(3). 111086–111086. 32 indexed citations
13.
Sun, Yunpeng, Houfang Long, Wencheng Xia, et al.. (2021). The hereditary mutation G51D unlocks a distinct fibril strain transmissible to wild-type α-synuclein. Nature Communications. 12(1). 6252–6252. 62 indexed citations
14.
Dai, Bin, Tao Zhong, Zhixian Chen, et al.. (2021). Myricetin slows liquid–liquid phase separation of Tau and activates ATG5-dependent autophagy to suppress Tau toxicity. Journal of Biological Chemistry. 297(4). 101222–101222. 58 indexed citations
15.
Fan, Sisi, Jin Cheng, Yan Liu, et al.. (2020). Proximity-Induced Pattern Operations in Reconfigurable DNA Origami Domino Array. Journal of the American Chemical Society. 142(34). 14566–14573. 50 indexed citations
16.
Wang, Kan, Kaixiang Zhou, Bin Dai, et al.. (2019). Synthesis and bioevaluation of technetium-99 m / rhenium labeled phenylquinoxaline derivatives as Tau imaging probes. European Journal of Medicinal Chemistry. 177. 291–301. 6 indexed citations
17.
Li, Yuying, Kan Wang, Kaixiang Zhou, et al.. (2018). Novel D–A–D based near-infrared probes for the detection of β-amyloid and Tau fibrils in Alzheimer's disease. Chemical Communications. 54(63). 8717–8720. 50 indexed citations
18.
Dai, Bin. (2009). In vitro antioxidative properties of sorghum red pigment. Journal of Shaanxi Normal University.
19.
Dai, Bin. (2004). Research on aquifer's thermal energy storage and analysis of its different processes. Journal of North China Electric Power University. 1 indexed citations
20.
Dai, Bin. (2004). Study on Constituents of Essential Oil from Ferula Ferulaeoidis. 1 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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