Min Dai

2.6k total citations
11 papers, 110 citations indexed

About

Min Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Min Dai has authored 11 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cancer Research. Recurrent topics in Min Dai's work include Extracellular vesicles in disease (3 papers), Genetic Syndromes and Imprinting (1 paper) and Ginseng Biological Effects and Applications (1 paper). Min Dai is often cited by papers focused on Extracellular vesicles in disease (3 papers), Genetic Syndromes and Imprinting (1 paper) and Ginseng Biological Effects and Applications (1 paper). Min Dai collaborates with scholars based in China, India and Canada. Min Dai's co-authors include Xiu‐Jie Wang, Xiaobing Pei, Min Wang, Yongjing Liu, Weixiang Guo, Ming Chen, Guihai Feng, Rui Chen, Qi Zhou and Wei Li and has published in prestigious journals such as Developmental Cell, Advanced Science and International Journal of Biological Macromolecules.

In The Last Decade

Min Dai

8 papers receiving 110 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Dai China	5	66	25	17	12	10	11	110
Jonathan J. Augustin United States	5	144 2.2×	18 0.7×	16 0.9×	12 1.0×	8 0.8×	6	178
Kei Enomoto Japan	7	166 2.5×	19 0.8×	22 1.3×	22 1.8×	11 1.1×	10	202
Ting-Lin B. Yang United States	2	80 1.2×	49 2.0×	17 1.0×	10 0.8×	7 0.7×	3	171
Subarna Palit Germany	4	56 0.8×	16 0.6×	9 0.5×	11 0.9×	16 1.6×	4	96
Angie Lay Keng Tan Singapore	5	101 1.5×	15 0.6×	51 3.0×	29 2.4×	7 0.7×	7	138
Giovanni Canu United Kingdom	4	115 1.7×	23 0.9×	7 0.4×	13 1.1×	7 0.7×	6	152
Farrah El-Saafin Australia	7	209 3.2×	17 0.7×	21 1.2×	22 1.8×	3 0.3×	11	233
Sara Ruiz Gil France	2	103 1.6×	21 0.8×	91 5.4×	26 2.2×	12 1.2×	3	193
Lijun Yao United States	5	95 1.4×	9 0.4×	41 2.4×	24 2.0×	7 0.7×	14	160
Levi van Hijfte Netherlands	3	96 1.5×	20 0.8×	33 1.9×	22 1.8×	9 0.9×	7	147

Countries citing papers authored by Min Dai

Since Specialization

Citations

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

Fields of papers citing papers by Min Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Dai

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Li, Dong, et al.. (2025). Cross-organ protection of MSC-derived extracellular vesicles in ischemia-reperfusion injury: angiogenic synergy in kidney, brain, and heart. Frontiers in Cardiovascular Medicine. 12. 1634877–1634877.

2.

Dai, Min & Yilin Lu. (2025). Power System Load Forecasting and Energy Management Model Based on Data-Driven. 874–878.

3.

Li, Jianrong, et al.. (2024). Targeted isolation and AI-based analysis of edible fungal polysaccharides: Emphasizing tumor immunological mechanisms and future prospects as mycomedicines. International Journal of Biological Macromolecules. 284(Pt 1). 138089–138089. 5 indexed citations

4.

Dai, Min, et al.. (2024). DRED: A Comprehensive Database of Genes Related to Repeat Expansion Diseases. Genomics Proteomics & Bioinformatics. 22(5).

5.

Hu, Zhan, Min Dai, Xiumeng Hua, et al.. (2024). Strategies for arterial graft optimization at the single-cell level. Nature Cardiovascular Research. 3(5). 541–557. 2 indexed citations

6.

Yuan, Shenli, Lei Gao, Wenrong Tao, et al.. (2024). Allelic reprogramming of chromatin states in human early embryos. National Science Review. 11(3). nwad328–nwad328. 3 indexed citations

7.

Dai, Min, et al.. (2023). Functional heterogeneity of Wnt-responsive and Hedgehog-responsive neural stem cells in the murine adult hippocampus. Developmental Cell. 58(22). 2545–2562.e6. 8 indexed citations

8.

Dai, Min, Xiaobing Pei, & Xiu‐Jie Wang. (2022). Accurate and fast cell marker gene identification with COSG. Briefings in Bioinformatics. 23(2). 70 indexed citations

9.

Li, Yuhuan, Guihai Feng, Min Dai, et al.. (2022). Pharmacological Perturbation of Mechanical Contractility Enables Robust Transdifferentiation of Human Fibroblasts into Neurons. Advanced Science. 9(13). e2104682–e2104682. 12 indexed citations

10.

Xu, Xiaoyu, Hong Luo, Qian Chen, et al.. (2022). Detecting potential mechanism of vitamin D in treating rheumatoid arthritis based on network pharmacology and molecular docking. Frontiers in Pharmacology. 13. 1047061–1047061. 4 indexed citations

11.

Dai, Min, et al.. (2020). Sequence repetitiveness quantification and de novo repeat detection by weighted k-mer coverage. Briefings in Bioinformatics. 22(3). 6 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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