Bin Yu

179 papers receiving 5.0k citations

Bin Yu's Hit Papers

Defect Engineering Enables Synergistic Action of Enzyme-Mimicking Active Centers for High-Efficiency Tumor Therapy 2021 · 279 citations
2790+1+3Years since publication50100150200250

Peers

Bin Yu
Comparison fields: 5 of 160
  • Orthodontics 772
  • General Dentistry 138
  • Biotechnology 367
  • Oral Surgery 195
  • Biochemistry 169
Replace Li Huang with:
Li Huang China
K. Wakasa Japan
Qun Ren Switzerland
Hideo Matsumura Japan
Yumei Zhang China
Jing Lan China
Leming Sun United States
Dafu Chen China
Tianhong Dai United States
Bin Yu relative to Li Huang China Li Huang's profile →
Citations per field
00.5×8.4×
Li Huang · 1×
Citations per year

Countries citing papers authored by Bin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015329
2
Defect Engineering Enables Synergistic Action of Enzyme-Mimicking Active Centers for High-Efficiency Tumor Therapy
Hit paper breakdown →
2021279
3 2008202
4 2010168
5 2016164
6 2012134
7 2016114
8 2010105
9 2010104
10 201086
11 202283
12 201280
13 202080
14 201579
15 202179
16 200870
17 201968
18 200867
19 200964
20 201563

About Bin Yu

Bin Yu is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Oncology and Orthodontics, having authored 182 papers that have together received 5.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (28 papers), Dental materials and restorations (25 papers), Nanoplatforms for cancer theranostics (21 papers), HIV Research and Treatment (17 papers), Cancer Research and Treatments (13 papers), CAR-T cell therapy research (13 papers), RNA Interference and Gene Delivery (11 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Orthodontics (772 citations), General Dentistry (138 citations), Biotechnology (367 citations), Oral Surgery (195 citations) and Biochemistry (169 citations). Bin Yu has collaborated with scholars based in China, South Korea and Saint Kitts and Nevis. Frequent co-authors include Yong‐Keun Lee, Tianyan You, Libo Li, Xianghui Yu, Lehui Lu, Jin‐Soo Ahn, Ho‐Nam Lim, Chunhuan Jiang, Haihong Zhang and Wei Kong. Their work appears in journals such as Dental Materials, Journal of Dentistry, Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

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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