Miaolin Duan

627 citations
22 papers · 488 · h-index 11

Impact in

    • Biosensors and Analytical Detection
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • Advanced Biosensing Techniques and Applications
    • Identification and Quantification in Food

Papers in

Miaolin Duan

21 papers receiving 486 citations

Peers

Miaolin Duan
Comparison fields: 5 of 63
  • Biomedical Engineering 305
  • Molecular Biology 354
  • Biotechnology 42
  • Endocrinology 23
  • Infectious Diseases 64
Replace Yanna Shao with:
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Miaolin Duan relative to Yanna Shao China Yanna Shao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Miaolin Duan

Since Specialization
Citations

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

Fields of papers citing papers by Miaolin Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 201969
3 201840
4 202334
5 202232
6 202330
7 201826
8 202325
9 202025
10 201716
11 202410
12 202210
13 20249
14 20239
15 20248
16 20247
17 20246
18 20245
19 20244
20 20253

About Miaolin Duan

Miaolin Duan is a scholar working on Molecular Biology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 22 papers that have together received 488 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (13 papers), Advanced biosensing and bioanalysis techniques (12 papers), CRISPR and Genetic Engineering (8 papers), Plasma Applications and Diagnostics (4 papers), Inhalation and Respiratory Drug Delivery (3 papers), Salmonella and Campylobacter epidemiology (2 papers), Microbial Inactivation Methods (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Biomedical Engineering (305 citations), Molecular Biology (354 citations), Biotechnology (42 citations), Endocrinology (23 citations) and Infectious Diseases (64 citations). Miaolin Duan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daofeng Liu, Weihua Lai, Xingmin Li, Ruitong Dai, Fei Jia, Yana Liu, Chengwei Liu, Ganggang Zhang, Yanmei Huang and Juan Peng. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Food Research International, Biosensors and Bioelectronics and Food Bioscience.

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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