Xianping Wu

106 papers receiving 4.8k citations

Xianping Wu's Hit Papers

Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population 2016 · 410 citations
4100+3+6Years since publication100200300400

Peers

Xianping Wu
Comparison fields: 5 of 153
  • Orthopedics and Sports Medicine 747
  • Cancer Research 688
  • Endocrinology, Diabetes and Metabolism 647
  • Health, Toxicology and Mutagenesis 525
  • Cardiology and Cardiovascular Medicine 707
Replace Kilian Rapp with:
Kilian Rapp Germany
Peter T. Campbell United States
Mitsuru Mori Japan
Kieran McCaul Australia
Carolyn Crandall United States
Yufang Bi China
John H. Newman United States
Zhiping Huang China
Panagiotis Anagnostis Greece
Xiaoshu Cheng China
Xianping Wu relative to Kilian Rapp Germany Kilian Rapp's profile →
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Countries citing papers authored by Xianping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xianping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population
Hit paper breakdown →
2016410
2 2009397
3 2003336
4 2005309
5 2015300
6 2020214
7 2007200
8 2011197
9 2013175
10 2012155
11 2007115
12 2006112
13 2003108
14 201983
15 200681
16 201475
17 201272
18 200672
19 201871
20 200269

About Xianping Wu

Xianping Wu is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Oncology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 108 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (30 papers), Bone Metabolism and Diseases (27 papers), Bone health and treatments (16 papers), Obesity, Physical Activity, Diet (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cardiovascular Health and Risk Factors (8 papers), Nutritional Studies and Diet (6 papers) and Nutrition and Health in Aging (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (747 citations), Cancer Research (688 citations), Endocrinology, Diabetes and Metabolism (647 citations), Health, Toxicology and Mutagenesis (525 citations) and Cardiology and Cardiovascular Medicine (707 citations). Xianping Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ling‐Qing Yuan, Hui Xie, Xiang‐Hang Luo, Hou‐De Zhou, Dongfeng Gu, Lijuan Guo, Jianxin Li, Jichun Chen, Ling Yu and Jianfeng Huang. Their work appears in journals such as Osteoporosis International, Clinica Chimica Acta, Journal of Bone and Mineral Metabolism, BMJ Open and Amino Acids.

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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