Min Bai

1.7k citations
60 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

57 papers receiving 1.5k citations

Peers

Min Bai
Comparison fields: 5 of 97
  • Molecular Biology 899
  • Electronic, Optical and Magnetic Materials 204
  • Biomedical Engineering 485
  • Structural Biology 14
  • Materials Chemistry 421
Replace Qingwang Xue with:
Qingwang Xue China
Yanjing Yang China
Peihui Yang China
Νatassa Pippa Greece
Pir Muhammad China
Qi Hu China
Junxia Zheng China
Mukeshchand Thakur India
Juan Manuel López‐Romero Spain
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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018178
2 2017122
3 2020100
4 201796
5 201785
6 201475
7 202159
8 201559
9 201354
10 201946
11 201842
12 201842
13 201541
14 202039
15 202133
16 202028
17 202026
18 201424
19 201921
20 200919

About Min Bai

Min Bai is a scholar working on Molecular Biology, Biomedical Engineering, Spectroscopy, Materials Chemistry and Computational Theory and Mathematics, having authored 60 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), RNA modifications and cancer (5 papers), Molecular Sensors and Ion Detection (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Molecular Biology (899 citations), Electronic, Optical and Magnetic Materials (204 citations), Biomedical Engineering (485 citations), Structural Biology (14 citations) and Materials Chemistry (421 citations). Min Bai has collaborated with scholars based in China, Australia and India. Frequent co-authors include Feng Chen, Yongxi Zhao, Yue Zhao, Jing Wei, Jing Xue, Xiaowen Cao, Leyu Wang, Chunhai Fan, Ke Cao and Dongyuan Zhao. Their work appears in journals such as Analytical Chemistry, Angewandte Chemie International Edition, ACS Applied Materials & Interfaces, Journal of Ethnopharmacology and Chemical Science.

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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