Ming Chen

2.8k citations
107 papers · 2.1k · h-index 24

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 43
    • RNA Interference and Gene Delivery 25
    • Extracellular vesicles in disease 7
    • RNA and protein synthesis mechanisms 5
    • DNA and Nucleic Acid Chemistry 5
    • Biosensors and Analytical Detection 18

Ming Chen

99 papers receiving 2.1k citations

Peers

Ming Chen
Comparison fields: 5 of 139
  • Molecular Medicine 219
  • Infectious Diseases 367
  • Endocrinology 96
  • Molecular Biology 1.0k
  • Biomedical Engineering 638
Replace Robert J. Meagher with:
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Ming Chen relative to Robert J. Meagher United States Robert J. Meagher's profile →
Citations per field
00.5×1.5×2.4×
Robert J. Meagher · 1×
Citations per year

Countries citing papers authored by Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013234
2 2012203
3 202090
4 201885
5 200782
6 202172
7 202170
8 201455
9 202055
10 202053
11 201648
12 202046
13 201642
14 200941
15 202338
16 201638
17 201837
18 201931
19 201631
20 202329

About Ming Chen

Ming Chen is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry and Civil and Structural Engineering, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (43 papers), RNA Interference and Gene Delivery (25 papers), Biosensors and Analytical Detection (18 papers), Extracellular vesicles in disease (7 papers), Bacteriophages and microbial interactions (6 papers), Geophysical Methods and Applications (5 papers), RNA and protein synthesis mechanisms (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Molecular Medicine (219 citations), Infectious Diseases (367 citations), Endocrinology (96 citations), Molecular Biology (1.0k citations) and Biomedical Engineering (638 citations). Ming Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kai Chang, Shaoli Deng, Xiaoqi Tang, Weiling Fu, Sha Yang, Fake Li, Weiping Lu, Kejun Zhang, Gaohui Wang and Peng Yan. Their work appears in journals such as Biosensors and Bioelectronics, ACS Applied Materials & Interfaces, Advanced Science, Analytica Chimica Acta and ACS Applied Nano Materials.

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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