Yibei Dai

576 citations
21 papers · 355 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Yibei Dai

20 papers receiving 355 citations

Peers

Yibei Dai
Comparison fields: 5 of 72
  • Cancer Research 90
  • Aging 5
  • Molecular Biology 186
  • Epidemiology 59
  • Geriatrics and Gerontology 6
Replace Muhammed Koçak with:
Muhammed Koçak Türkiye
Darren Qiancheng Tan Singapore
Zhouting Tuo China
Dilys T.H. Leung Australia
Akpedje Serena Dossou United States
Guan‐Sheng Liu United States
Yuzhe Shi United States
Chao Gu China
Yibei Dai relative to Muhammed Koçak Türkiye Muhammed Koçak's profile →
Citations per field
00.5×
Muhammed Koçak · 1×
Citations per year

Countries citing papers authored by Yibei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yibei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201791
2 201860
3 202135
4 202125
5 201924
6 201917
7 201715
8 202112
9 202112
10 202111
11 202110
12 20219
13 20217
14 20227
15 20217
16 20183
17 20223
18 20203
19 20222
20 20232

About Yibei Dai

Yibei Dai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Biomedical Engineering and Materials Chemistry, having authored 21 papers that have together received 355 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Prostate Cancer Treatment and Research (2 papers), Cancer, Lipids, and Metabolism (2 papers), Biosensors and Analytical Detection (2 papers), Cancer-related molecular mechanisms research (2 papers), Extracellular vesicles in disease (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cancer Research (90 citations), Aging (5 citations), Molecular Biology (186 citations), Epidemiology (59 citations) and Geriatrics and Gerontology (6 citations). Yibei Dai has collaborated with scholars based in China. Frequent co-authors include Zhihua Tao, Weiwei Liu, Xuchu Wang, Yu Pan, Danhua Wang, Yiyun Wang, Ping Ying, Xiuzhi Duan, Ying Cao and Lingyu Zhang. Their work appears in journals such as International Journal of Oncology, Journal of Clinical Laboratory Analysis, Scientific Reports, Microchimica Acta and Oxidative Medicine and Cellular Longevity.

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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