Bing Dai

1.1k total citations · 1 hit paper
23 papers, 638 citations indexed

About

Bing Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Bing Dai has authored 23 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Cancer Research. Recurrent topics in Bing Dai's work include Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Bing Dai is often cited by papers focused on Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Bing Dai collaborates with scholars based in China, United States and United Kingdom. Bing Dai's co-authors include Dayu Lin, Yulong Li, Fangmiao Sun, Tongrui Qian, Jianzhi Zeng, Yizhou Zhuo, Jiesi Feng, Ke Tan, Hui Dong and Yajun Zhang and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Bing Dai

22 papers receiving 629 citations

Hit Papers

align trajectories

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.

Next-generation GRAB sensors for monitoring dopaminergic activity in vivo

2020 291 citations Fangmiao Sun, Jingheng Zhou et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bing Dai China	12	251	240	145	137	60	23	638
Ruiyu Wang China	15	226 0.9×	541 2.3×	125 0.9×	39 0.3×	58 1.0×	37	1.0k
Corey Smith United States	15	459 1.8×	734 3.1×	105 0.7×	79 0.6×	91 1.5×	28	1.2k
Karen J. Tonsfeldt United States	15	258 1.0×	222 0.9×	101 0.7×	109 0.8×	234 3.9×	33	819
Hirobumi Tada Japan	14	340 1.4×	290 1.2×	111 0.8×	88 0.6×	24 0.4×	26	721
Shu-Jing Li China	11	124 0.5×	167 0.7×	93 0.6×	129 0.9×	81 1.4×	21	467
Jingheng Zhou United States	13	624 2.5×	454 1.9×	340 2.3×	53 0.4×	74 1.2×	19	1.2k
Christian Schnell Germany	12	206 0.8×	226 0.9×	107 0.7×	108 0.8×	181 3.0×	21	779
Véronique Riban France	11	534 2.1×	262 1.1×	162 1.1×	31 0.2×	48 0.8×	17	988
Ke Tan China	10	213 0.8×	252 1.1×	92 0.6×	36 0.3×	27 0.5×	19	679

Countries citing papers authored by Bing Dai

Since Specialization

Citations

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

Fields of papers citing papers by Bing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Dai. A scholar is included among the top collaborators of Bing 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 Bing Dai. Bing Dai 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

Dai, Bing, X. Dai, X. F. Cui, et al.. (2025). Experience-dependent dopamine modulation of male aggression. Nature. 639(8054). 430–437. 11 indexed citations

Dai, Bing & Dayu Lin. (2025). Dopamine modulation of aggression. Psychopharmacology.

Liu, Henan, et al.. (2024). Synthetic approaches and application of representative clinically approved fluorine-enriched anti-cancer medications. European Journal of Medicinal Chemistry. 276. 116722–116722. 3 indexed citations

Xia, Yu, Qingqing Chen, Henan Liu, et al.. (2024). Synthetic routes and clinical application of new drugs approved by EMA during 2023. European Journal of Medicinal Chemistry. 277. 116762–116762. 4 indexed citations

Dai, Bing, et al.. (2024). Brain-wide multi-fiber recording of neuronal activity in freely moving mice. STAR Protocols. 5(1). 102882–102882. 2 indexed citations

Yan, Rongzhen, et al.. (2024). The multi-stage plasticity in the aggression circuit underlying the winner effect. Cell. 187(24). 6785–6803.e18. 16 indexed citations

Chen, Li, et al.. (2024). Efficacy and safety of omalizumab combined with allergen immunotherapy in children with moderate to severe allergic asthma. International Forum of Allergy & Rhinology. 15(2). 208–211. 2 indexed citations

Osakada, Takuya, Rongzhen Yan, Yiwen Jiang, et al.. (2024). A dedicated hypothalamic oxytocin circuit controls aversive social learning. Nature. 626(7998). 347–356. 26 indexed citations

Yin, Luping, Veronica Diaz, Bing Dai, et al.. (2023). Neural dynamics in the limbic system during male social behaviors. Neuron. 111(20). 3288–3306.e4. 29 indexed citations

10.

Dai, Bing, Fangmiao Sun, Xiaoyu Tong, et al.. (2022). Responses and functions of dopamine in nucleus accumbens core during social behaviors. Cell Reports. 40(8). 111246–111246. 85 indexed citations

11.

Dai, Bing, Hao Yu, Tingting Ma, et al.. (2021). The Application of Targeted RNA Sequencing for KMT2A–Partial Tandem Duplication Identification and Integrated Analysis of Molecular Characterization in Acute Myeloid Leukemia. Journal of Molecular Diagnostics. 23(11). 1478–1490. 6 indexed citations

12.

Sun, Fangmiao, Jingheng Zhou, Bing Dai, et al.. (2020). Next-generation GRAB sensors for monitoring dopaminergic activity in vivo. Nature Methods. 17(11). 1156–1166. 291 indexed citations breakdown →

13.

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

14.

Suebsuwong, Chalada, Bing Dai, Daniel M. Pinkas, et al.. (2020). Receptor-interacting protein kinase 2 (RIPK2) and nucleotide-binding oligomerization domain (NOD) cell signaling inhibitors based on a 3,5-diphenyl-2-aminopyridine scaffold. European Journal of Medicinal Chemistry. 200. 112417–112417. 17 indexed citations

15.

Li, Lili, et al.. (2020). The activation of IL-17 signaling pathway promotes pyroptosis in pneumonia-induced sepsis. Annals of Translational Medicine. 8(11). 674–674. 52 indexed citations

16.

Suebsuwong, Chalada, Daniel M. Pinkas, Soumya S. Ray, et al.. (2018). Activation loop targeting strategy for design of receptor-interacting protein kinase 2 (RIPK2) inhibitors. Bioorganic & Medicinal Chemistry Letters. 28(4). 577–583. 18 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.

Roife, David, Bing Dai, Ya’an Kang, et al.. (2016). Auranofin to prevent progression of pancreatic ductal adenocarcinoma.. Journal of Clinical Oncology. 34(4_suppl). 236–236. 7 indexed citations

19.

Kang, Jian, et al.. (2009). [Expression and activation of hypoxia inducible factor-1alpha and iNOS in the brain of rats with chronic intermittent hypoxia].. PubMed. 32(10). 739–43. 4 indexed citations

20.

Zhao, Qing, et al.. (2004). Effect of transforming growth factor-beta on activity of connective tissue growth factor gene promoter in mouse NIH/3T3 fibroblasts.. PubMed. 25(4). 485–9. 20 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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