Zhi Yao

13.3k citations
258 papers · 10.5k indexed · h-index 56
Topics
Cancer Mechanisms and Therapy (31 papers)Peptidase Inhibition and Analysis (20 papers)Cancer Cells and Metastasis (19 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Zhi Yao

251 papers receiving 10.4k citations

Peers

Zhi Yao
Comparison fields: 5 of 140
  • Molecular Biology 6.3k
  • Oncology 3.0k
  • Cancer Research 2.6k
  • Immunology 1.8k
  • Pathology and Forensic Medicine 1.2k
Replace Lawrence M. Pfeffer with:
Lawrence M. Pfeffer United States
Carter Van Waes United States
Mengfeng Li China
Patrick Auberger France
Leonard H. Augenlicht United States
Paul J. Chiao United States
Kazuyoshi Yanagihara Japan
Mayumi Ono Japan
Lin‐Feng Chen United States
Robert Eferl Austria
Zhi Yao relative to Lawrence M. Pfeffer United States Lawrence M. Pfeffer's profile →
Citations per field
00.5×
Lawrence M. Pfeffer · 1×
Citations per year

Countries citing papers authored by Zhi Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zhi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Yao. A scholar is included among the top collaborators of Zhi Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhi Yao. Zhi Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 0
4 3
5 33
6 33
7 87
8 50
9 28
10 201
11 27
12 28
13 83
14 51
15 32
16 26
17 149
18 23
19
Study on the severity of diabetic retinopathy and its relationship with serum bilirubin
2
20
Molecular Characterristics of the Seed Virus 0f Hl S Candidate Vaccine A16 Strain
4

About Zhi Yao

Zhi Yao is a scholar working on Oncology, Immunology and Cancer Research, having authored 258 papers that have together received 10.5k indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (31 papers), Peptidase Inhibition and Analysis (20 papers) and Cancer Cells and Metastasis (19 papers). The work is most often cited by research in Cancer Research (2.6k citations), Oncology (3.0k citations) and Molecular Biology (6.3k citations). Zhi Yao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Evan T. Keller, Jinlu Dai, Jie Yang, Rongxin Zhang, Yi Lü, Yurong Da, Zhenyi Xue, Jian Zhang, Xiulan Zhao and Guozhi Xiao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

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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