Yao Zhao

4.0k citations
96 papers · 2.0k indexed · 1 hit paper · h-index 24
Topics
Pituitary Gland Disorders and Treatments (44 papers)Growth Hormone and Insulin-like Growth Factors (21 papers)Glioma Diagnosis and Treatment (18 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Yao Zhao

94 papers receiving 2.0k citations

Hit Papers

Deep learning radiomics can predict axillary lymph node s...20202026202220242020100200300400

Peers

Yao Zhao
Comparison fields: 5 of 114
  • Radiology, Nuclear Medicine and Imaging 615
  • Endocrinology, Diabetes and Metabolism 612
  • Surgery 390
  • Molecular Biology 357
  • Epidemiology 357
Replace Jae‐Kyung Won with:
Jae‐Kyung Won South Korea
Ingfrid S. Haldorsen Norway
Claudio Ghimenton Italy
Geert O. Janssens Netherlands
Sofia Asioli Italy
Yae Won Park South Korea
Enrico Bollito Italy
Vaios Hatzoglou United States
Anne‐Ségolène Cottereau France
Yao Zhao relative to Jae‐Kyung Won South Korea Jae‐Kyung Won's profile →
Citations per field
00.5×1.5×
Jae‐Kyung Won · 1×
Citations per year

Countries citing papers authored by Yao Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yao Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Zhao. A scholar is included among the top collaborators of Yao Zhao 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 Yao Zhao. Yao Zhao 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 2
2 0
3 3
4 9
5 6
6 3
7 31
8 7
9 13
10
Deep learning radiomics can predict axillary lymph node status in early-stage breast cancerbreakdown →
402
11 9
12 9
13 16
14 6
15 27
16 2
17 23
18 23
19 25
20 3

About Yao Zhao

Yao Zhao is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Neurology, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (44 papers), Growth Hormone and Insulin-like Growth Factors (21 papers) and Glioma Diagnosis and Treatment (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (612 citations), Health Informatics (39 citations) and Genetics (289 citations). Yao Zhao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying Mao, Jinhua Yu, Xuefei Shou, Shiqi Li, Yongfei Wang, Ming Shen, Yixin Hu, Yini Huang, Rushuang Mao and Yuanyuan Wang. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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