Yuting Li

6.1k citations
335 papers · 4.1k · h-index 30

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Retinal Diseases and Treatments

Papers in

    • Advanced biosensing and bioanalysis techniques 19
    • RNA Interference and Gene Delivery 10
    • Circular RNAs in diseases 9
    • Extracellular vesicles in disease 8
    • Sepsis Diagnosis and Treatment 9

Yuting Li

303 papers receiving 4.0k citations

Peers

Yuting Li
Comparison fields: 5 of 182
  • Cancer Research 414
  • Ophthalmology 221
  • Molecular Biology 1.5k
  • Family Practice 23
  • Endocrinology 68
Replace Jiu‐Yao Wang with:
Jiu‐Yao Wang Taiwan
Ping Huang China
Robert Gniadecki Denmark
Manju Sharma India
Lene Juel Rasmussen Denmark
Qiong Huang China
Tim Reynolds United Kingdom
Tanja Zeller Germany
Annalisa Santucci Italy
Yutaka Nakamura Japan
Yuting Li relative to Jiu‐Yao Wang Taiwan Jiu‐Yao Wang's profile →
Citations per field
00.5×4.6×
Jiu‐Yao Wang · 1×
Citations per year

Countries citing papers authored by Yuting Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 335 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020137
2 2014120
3 2021109
4 202188
5 202082
6 202079
7 200570
8 202066
9 201565
10 202064
11 202161
12 202160
13 201658
14 202157
15 202052
16 202352
17 201848
18 201643
19 202043
20 201341

About Yuting Li

Yuting Li is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Ophthalmology and Plant Science, having authored 335 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (19 papers), Retinal Diseases and Treatments (17 papers), RNA Interference and Gene Delivery (10 papers), Cancer-related molecular mechanisms research (10 papers), Biosensors and Analytical Detection (9 papers), Circular RNAs in diseases (9 papers), Sepsis Diagnosis and Treatment (9 papers) and Extracellular vesicles in disease (8 papers). The work is most often cited by research in Cancer Research (414 citations), Ophthalmology (221 citations), Molecular Biology (1.5k citations), Family Practice (23 citations) and Endocrinology (68 citations). Yuting Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuming Luo, Changhao Chen, Hongxiang Li, Dong Zhang, Yao Kong, Hanhao Zheng, Bowen Gao, Wei Wang, Wenyong Huang and Lanhua Wang. Their work appears in journals such as Analytical Chemistry, Investigative Ophthalmology & Visual Science, Biochemical and Biophysical Research Communications, Scientific Reports and International Journal of Molecular Sciences.

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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