Yuting Wu

6.1k citations
174 papers · 4.6k · 1 hit paper · h-index 40

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 24
    • RNA modifications and cancer 14
    • Mitochondrial Function and Pathology 11
    • Cancer-related gene regulation 9
    • RNA Interference and Gene Delivery 8
    • Thermochemical Biomass Conversion Processes 9

Yuting Wu

158 papers receiving 4.6k citations

Yuting Wu's Hit Papers

Mitocytosis, a migrasome-mediated mitochondrial quality-control process 2021 · 331 citations
3310+1+3Years since publication100200300

Peers

Yuting Wu
Comparison fields: 5 of 177
  • Geriatrics and Gerontology 147
  • Cancer Research 486
  • Molecular Biology 1.9k
  • Aging 46
  • Endocrine and Autonomic Systems 143
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Yuting Wu relative to Yankun Li China Yankun Li's profile →
Citations per field
00.5×1.5×2.4×
Yankun Li · 1×
Citations per year

Countries citing papers authored by Yuting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mitocytosis, a migrasome-mediated mitochondrial quality-control process
Hit paper breakdown →
2021331
2 2017168
3 2016152
4 2013139
5 2021126
6 2019109
7 2015107
8 2018107
9 2018106
10 2021100
11 201884
12 201981
13 201878
14 201273
15 202171
16 202271
17 201066
18 202262
19 201361
20 202058

About Yuting Wu

Yuting Wu is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Epidemiology and Oncology, having authored 174 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (24 papers), RNA modifications and cancer (14 papers), Cancer-related molecular mechanisms research (12 papers), Mitochondrial Function and Pathology (11 papers), Thermochemical Biomass Conversion Processes (9 papers), Cancer-related gene regulation (9 papers), Sirtuins and Resveratrol in Medicine (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Geriatrics and Gerontology (147 citations), Cancer Research (486 citations), Molecular Biology (1.9k citations), Aging (46 citations) and Endocrine and Autonomic Systems (143 citations). Yuting Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yau‐Huei Wei, Shi‐Bei Wu, Yanfen Liao, Xiaoqian Ma, Guicai Liu, Yi Lu, Zhenglin Yang, Yi‐Chao Hsu, Xiao‐Ming Meng and Weijie Guo. Their work appears in journals such as Journal of the American Chemical Society, Journal of Inorganic Biochemistry, Journal of Ethnopharmacology, Scientific Reports and Science Advances.

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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