Yuan Hao

895 citations
56 papers · 590 · h-index 14

Impact in

  • Physiology top 10%
    • Asthma and respiratory diseases
    • Adenosine and Purinergic Signaling
    • Nutrition and Health in Aging

Papers in

Yuan Hao

44 papers receiving 582 citations

Peers

Yuan Hao
Comparison fields: 5 of 107
  • Physiology 30
  • Horticulture 5
  • Biochemistry 29
  • Endocrine and Autonomic Systems 26
  • Physiology 92
Replace Yi‐Hsuan Wu with:
Yi‐Hsuan Wu Taiwan
Rocco Rago Italy
Fred I. Chasalow United States
Kartikeya Makker United States
Avi Harlev Israel
Edmund S. Sabanegh United States
Barbara Fraser Australia
Angela Alamo Italy
Murray Luckas United Kingdom
Yuan Hao relative to Yi‐Hsuan Wu Taiwan Yi‐Hsuan Wu's profile →
Citations per field
00.5×1.5×2.1×
Yi‐Hsuan Wu · 1×
Citations per year

Countries citing papers authored by Yuan Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201195
2 201960
3 201845
4 201744
5 201431
6 202125
7 202122
8 201421
9 202019
10 201919
11 201918
12 201717
13 202015
14 201814
15 201812
16 201612
17 201512
18 202210
19 20209
20 20199

About Yuan Hao

Yuan Hao is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Physiology, having authored 56 papers that have together received 590 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), Air Quality and Health Impacts (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Climate Change and Health Impacts (3 papers), Adenosine and Purinergic Signaling (3 papers), Neonatal Respiratory Health Research (3 papers), Plant Molecular Biology Research (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Physiology (30 citations), Horticulture (5 citations), Biochemistry (29 citations), Endocrine and Autonomic Systems (26 citations) and Physiology (92 citations). Yuan Hao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Xu, Wei Deng, Yang Yang, Qing Miao, Zhengguo Li, W.H. Ko, Zhonghai Ren, Jing Liao, Yixiang Huang and Xiaobo Zhou. Their work appears in journals such as BMC Musculoskeletal Disorders, Scientific Reports, Frontiers in Medicine, BMC Health Services Research and Angiogenesis.

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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