Min Dai

2.7k citations
12 papers · 129 · h-index 6

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Single-cell and spatial transcriptomics
    • Pluripotent Stem Cells Research
    • Gene expression and cancer classification
    • Epigenetics and DNA Methylation
    • Extracellular vesicles in disease

Papers in

    • Extracellular vesicles in disease 3
    • Pluripotent Stem Cells Research 1
    • Single-cell and spatial transcriptomics 1
    • Circular RNAs in diseases 1
    • Hemodynamic Monitoring and Therapy 1

Min Dai

9 papers receiving 129 citations

Peers

Min Dai
Comparison fields: 5 of 54
  • Developmental Neuroscience 8
  • Molecular Biology 73
  • Biophysics 6
  • Immunology 19
  • Cancer Research 11
Replace Johannes Ostner with:
Johannes Ostner Germany
Connor Kenny United States
Poorvi Rao United States
Subarna Palit Germany
Jan Kueckelhaus Germany
Natalie L. Downer Australia
Mannix J. Burns United States
Valeriya Malysheva United Kingdom
Hower Lee Sweden
Shunfei Yan China
Min Dai relative to Johannes Ostner Germany Johannes Ostner's profile →
Citations per field
00.5×1.5×
Johannes Ostner · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Min Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min Dai Line = papers co-authored together Min Dai links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202281
2 202212
3 20249
4 20238
5 20207
6 20245
7 20224
8 20242
9 20241
10 20250
11 20250
12 20250

About Min Dai

Min Dai is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Cancer Research and Infectious Diseases, having authored 12 papers that have together received 129 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Pluripotent Stem Cells Research (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Genetic Neurodegenerative Diseases (1 paper), Single-cell and spatial transcriptomics (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Developmental Neuroscience (8 citations), Molecular Biology (73 citations), Biophysics (6 citations), Immunology (19 citations) and Cancer Research (11 citations). Min Dai has collaborated with scholars based in China, Hong Kong and India. Frequent co-authors include Xiu‐Jie Wang, Xiaobing Pei, Ming Chen, Weixiang Guo, Min Wang, Yongjing Liu, Yuhuan Li, Jianrong Li, Lu Ren and Ying Zhang. Their work appears in journals such as Briefings in Bioinformatics, Developmental Cell, Advanced Science, Genomics Proteomics & Bioinformatics and PLoS ONE.

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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