Min Bai

1.7k citations
61 papers · 1.5k · h-index 20

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 22
    • Single-cell and spatial transcriptomics 7
    • RNA modifications and cancer 5
    • RNA Interference and Gene Delivery 4
    • Biosensors and Analytical Detection 8

Min Bai

58 papers receiving 1.5k citations

Peers

Min Bai
Comparison fields: 5 of 95
  • Molecular Biology 914
  • Electronic, Optical and Magnetic Materials 211
  • Biomedical Engineering 496
  • Structural Biology 14
  • Materials Chemistry 432
Replace Qingwang Xue with:
Qingwang Xue China
Chongyang Liang China
Peihui Yang China
Junxia Zheng China
Monica Focşan Romania
Hongxia Li China
Mehdi Dadmehr Iran
Deepanjali D. Gurav China
Xingbo Shi China
Min Bai relative to Qingwang Xue China Qingwang Xue's profile →
Citations per field
00.5×4.7×
Qingwang Xue · 1×
Citations per year

Countries citing papers authored by Min Bai

Since Specialization
Citations

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

Fields of papers citing papers by Min Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Bai, 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 Bai Line = papers co-authored together Min Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018181
2 2017125
3 2020108
4 201798
5 201788
6 201476
7 202166
8 201560
9 201354
10 201947
11 201545
12 201843
13 202043
14 201842
15 202133
16 202032
17 202028
18 201425
19 201922
20 201720

About Min Bai

Min Bai is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Spectroscopy and Computational Theory and Mathematics, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (22 papers), Biosensors and Analytical Detection (8 papers), Single-cell and spatial transcriptomics (7 papers), Computational Drug Discovery Methods (6 papers), Molecular Sensors and Ion Detection (5 papers), RNA modifications and cancer (5 papers), RNA Interference and Gene Delivery (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Molecular Biology (914 citations), Electronic, Optical and Magnetic Materials (211 citations), Biomedical Engineering (496 citations), Structural Biology (14 citations) and Materials Chemistry (432 citations). Min Bai has collaborated with scholars based in China, Australia and Russia. Frequent co-authors include Feng Chen, Yongxi Zhao, Yue Zhao, Jing Wei, Jing Xue, Xiaowen Cao, Leyu Wang, Chunhai Fan, Ke Cao and Huanting Wang. Their work appears in journals such as Analytical Chemistry, Angewandte Chemie International Edition, Nucleic Acids Research, Chemical Science and ACS Applied Materials & Interfaces.

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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