Wei Diao

640 citations
9 papers · 579 · h-index 9

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • Biosensors and Analytical Detection
    • Nanoplatforms for cancer theranostics

Papers in

    • Advanced biosensing and bioanalysis techniques 7
    • RNA Interference and Gene Delivery 2
    • RNA and protein synthesis mechanisms 1
    • Biosensors and Analytical Detection 5
    • Nanoplatforms for cancer theranostics 1

Wei Diao

9 papers receiving 573 citations

Peers

Wei Diao
Comparison fields: 5 of 65
  • Molecular Biology 439
  • Biomedical Engineering 259
  • Materials Chemistry 185
  • Cancer Research 58
  • Electronic, Optical and Magnetic Materials 57
Replace Hai Shi with:
Hai Shi China
Chun Hong Li China
Xiaoran Zou China
Kwaku Baryeh United States
Yilong Liu China
Xiaoting Ji China
Elham Solhi Iran
Yucai Yang China
Reza Sheikhnejad Iran
Guobin Mao China
Wei Diao relative to Hai Shi China Hai Shi's profile →
Citations per field
00.5×3.8×
Hai Shi · 1×
Citations per year

Countries citing papers authored by Wei Diao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013189
2 2017114
3 2014106
4 201657
5 201449
6 201725
7 201816
8 201612
9 201111

About Wei Diao

Wei Diao is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Biomaterials and Spectroscopy, having authored 9 papers that have together received 579 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (5 papers), Luminescence and Fluorescent Materials (2 papers), RNA Interference and Gene Delivery (2 papers), Nanoplatforms for cancer theranostics (1 paper), MicroRNA in disease regulation (1 paper), Molecular Sensors and Ion Detection (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (439 citations), Biomedical Engineering (259 citations), Materials Chemistry (185 citations), Cancer Research (58 citations) and Electronic, Optical and Magnetic Materials (57 citations). Wei Diao has collaborated with scholars based in China and Montenegro. Frequent co-authors include Bo Tang, Wei Pan, Na Li, Tingting Zhang, Huijun Yang, Wei Cheng, Min Tang, Yaoyao Han, Fei Mo and Hongmin Ma. Their work appears in journals such as Microchimica Acta, Chemical Communications, RSC Advances, Analytical Chemistry and Sensors and Actuators B Chemical.

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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