Hao Ying

6.7k citations
126 papers · 4.8k · h-index 42

Impact in

Papers in

Hao Ying

123 papers receiving 4.7k citations

Peers

Hao Ying
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cancer Research 798
  • Molecular Biology 2.3k
  • Physiology 829
  • Endocrine and Autonomic Systems 149
Replace Chaodong Wu with:
Chaodong Wu United States
Hui Gao China
Changhong Li China
Maureen Gannon United States
Rohit A. Sinha India
Jonathan S. Oakhill Australia
Goo Taeg Oh South Korea
Hiroshi Sakaue Japan
Étienne Lefai France
Philip J. Bilan Canada
Hao Ying relative to Chaodong Wu United States Chaodong Wu's profile →
Citations per field
00.5×1.5×
Chaodong Wu · 1×
Citations per year

Countries citing papers authored by Hao Ying

Since Specialization
Citations

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

Fields of papers citing papers by Hao Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006298
2 2016152
3 2013123
4 2005116
5 2018104
6 201498
7 200596
8 200491
9 201890
10 201287
11 200586
12 200984
13 201883
14 200881
15 201480
16 201477
17 201472
18 200672
19 202072
20 201971

About Hao Ying

Hao Ying is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Cancer Research and Epidemiology, having authored 126 papers that have together received 4.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (19 papers), Thyroid Disorders and Treatments (18 papers), MicroRNA in disease regulation (14 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Muscle Physiology and Disorders (9 papers), Estrogen and related hormone effects (8 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cancer Research (798 citations), Molecular Biology (2.3k citations), Physiology (829 citations) and Endocrine and Autonomic Systems (149 citations). Hao Ying has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sheue-yann Cheng, Mark C. Willingham, Fumihiko Furuya, Osamu Araki, Li Zhao, Duo Zhang, Sheue-yann Cheng, Jun Yan, Haifeng Qian and Xuan Yao. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Endocrinology, Proceedings of the National Academy of Sciences, Diabetes and Nature Communications.

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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