Li‐hao Sun

1.8k citations
60 papers · 1.3k · h-index 23

Impact in

Papers in

Li‐hao Sun

59 papers receiving 1.3k citations

Peers

Li‐hao Sun
Comparison fields: 5 of 91
  • Orthopedics and Sports Medicine 335
  • Nephrology 257
  • Endocrinology, Diabetes and Metabolism 148
  • Oncology 225
  • Molecular Biology 491
Replace Ulrike I. Mödder with:
Ulrike I. Mödder United States
Liang Fang United States
Ioanna Mosialou United States
Dongxing Zhu United Kingdom
Ewa Lewin Denmark
Young Linda United States
Douglas J. DiGirolamo United States
Se Hwa Kim South Korea
Seong Yeon Kim South Korea
Fatma Gossiel United Kingdom
Li‐hao Sun relative to Ulrike I. Mödder United States Ulrike I. Mödder's profile →
Citations per field
00.5×3.9×
Ulrike I. Mödder · 1×
Citations per year

Countries citing papers authored by Li‐hao Sun

Since Specialization
Citations

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

Fields of papers citing papers by Li‐hao Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐hao Sun. 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 Li‐hao Sun. The network helps show where Li‐hao Sun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201588
2 201382
3 200572
4 200862
5 200459
6 201057
7 201256
8 200452
9 202044
10 202041
11 201840
12 201339
13 201134
14 201532
15 201832
16 202331
17 200730
18 201628
19 201427
20 201427

About Li‐hao Sun

Li‐hao Sun is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Nephrology, Oncology and Pathology and Forensic Medicine, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (16 papers), Parathyroid Disorders and Treatments (13 papers), Bone Metabolism and Diseases (11 papers), Bone health and treatments (8 papers), Metabolism, Diabetes, and Cancer (4 papers), TGF-β signaling in diseases (3 papers), Vitamin D Research Studies (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (335 citations), Nephrology (257 citations), Endocrinology, Diabetes and Metabolism (148 citations), Oncology (225 citations) and Molecular Biology (491 citations). Li‐hao Sun has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Jianmin Liu, Hongyan Zhao, Bei Tao, Guang Ning, Weiqing Wang, Man-yin Xu, Lin Zhao, Lianzhen Zhang, Yongju Zhao and Jialun Chen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Osteoporosis International, Frontiers in Endocrinology, Journal of Bone and Mineral Research and Bone 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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