Yuting Shang

1.9k citations
73 papers · 1.5k · h-index 23

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 22
    • CRISPR and Genetic Engineering 11
    • Advanced Biosensing Techniques and Applications 7
    • Biosensors and Analytical Detection 30
    • Innovative Microfluidic and Catalytic Techniques Innovation 8

Yuting Shang

70 papers receiving 1.5k citations

Peers

Yuting Shang
Comparison fields: 5 of 103
  • Biomedical Engineering 864
  • Endocrinology 79
  • Molecular Biology 909
  • Infectious Diseases 152
  • Business and International Management 15
Replace Xinran Xiang with:
Xinran Xiang China
Feng Xue China
Yanwei Ji China
Yuancong Xu China
Dana Braff United States
Daofeng Liu China
Nadezhda A. Byzova Russia
Mingzhou Zhang China
Juan Peng China
Xiuling Song China
Yuting Shang relative to Xinran Xiang China Xinran Xiang's profile →
Citations per field
00.5×1.5×2×2.4×
Xinran Xiang · 1×
Citations per year

Countries citing papers authored by Yuting Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202197
2 201896
3 202190
4 202280
5 202371
6 202164
7 202363
8 202255
9 202244
10 202243
11 202342
12 201940
13 202139
14 202136
15 202134
16 202431
17 202330
18 202230
19 202127
20 202226

About Yuting Shang

Yuting Shang is a scholar working on Molecular Biology, Biomedical Engineering, Ecology, Food Science and Endocrinology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (30 papers), Advanced biosensing and bioanalysis techniques (22 papers), CRISPR and Genetic Engineering (11 papers), Salmonella and Campylobacter epidemiology (9 papers), Bacteriophages and microbial interactions (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (8 papers), Vibrio bacteria research studies (7 papers) and Advanced Biosensing Techniques and Applications (7 papers). The work is most often cited by research in Biomedical Engineering (864 citations), Endocrinology (79 citations), Molecular Biology (909 citations), Infectious Diseases (152 citations) and Business and International Management (15 citations). Yuting Shang has collaborated with scholars based in China, Czechia and France. Frequent co-authors include Qingping Wu, Xinran Xiang, Jumei Zhang, Gaowa Xing, Jin‐Ming Lin, Qinghua Ye, Yu Ding, Haifeng Lin, Moutong Chen and Shulang Chen. Their work appears in journals such as LWT, Sensors and Actuators B Chemical, Food Control, Analytical Chemistry and TrAC Trends in Analytical Chemistry.

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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