Yi Diao

405 citations
22 papers · 293 · h-index 8

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Yi Diao

21 papers receiving 286 citations

Peers

Yi Diao
Comparison fields: 5 of 66
  • Genetics 87
  • Cancer Research 82
  • Developmental Neuroscience 16
  • Biotechnology 33
  • Oncology 83
Replace Debarati Ghosh with:
Debarati Ghosh India
Qinhui Song United States
Nathalie Baeza-Kallee France
Se-Yeong Oh South Korea
Bingxia Su China
Amanda L. Rinkenbaugh United States
Drew Spencer United States
Tona Schnee United States
Xiaoguang Hao Canada
Seon Yong Lee South Korea
Yi Diao relative to Debarati Ghosh India Debarati Ghosh's profile →
Citations per field
00.5×10×15×
Debarati Ghosh · 1×
Citations per year

Countries citing papers authored by Yi Diao

Since Specialization
Citations

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

Fields of papers citing papers by Yi Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200883
2 201074
3 202330
4 201029
5 201026
6 20199
7 20119
8 20257
9 20104
10 20154
11 20103
12 20112
13 20242
14 20212
15
[Transplantation of human glioma stem cells in nude mice with green fluorescent protein expression].
20082
16 20252
17 20141
18 20121
19 20091
20 20251

About Yi Diao

Yi Diao is a scholar working on Genetics, Biotechnology, Biomedical Engineering, Water Science and Technology and Molecular Biology, having authored 22 papers that have together received 293 indexed citations. Recurring topics across this work include Cancer Research and Treatments (4 papers), Glioma Diagnosis and Treatment (3 papers), Cancer Cells and Metastasis (2 papers), Adsorption and biosorption for pollutant removal (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Advanced oxidation water treatment (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Advanced Materials and Mechanics (1 paper). The work is most often cited by research in Genetics (87 citations), Cancer Research (82 citations), Developmental Neuroscience (16 citations), Biotechnology (33 citations) and Oncology (83 citations). Yi Diao has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Jun Dong, Qiang Huang, Yuntian Shen, Yaodong Zhao, Qing Lan, Xifeng Fei, Xiaosong Gu, Tianyi Zhang, Aidong Wang and Quanbin Zhang. Their work appears in journals such as ZooKeys, Polymers, Journal of Neuro-Oncology, Journal of Environmental Management and BMC Cancer.

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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