Sinan Wu

3.9k citations
51 papers · 2.7k · 2 hit papers · h-index 17

Impact in

Papers in

Sinan Wu

48 papers receiving 2.6k citations

Sinan Wu's Hit Papers

Prevalence, risk factors, and management of asthma in China: a national cross-sectional study 2019 · 545 citations
5450+2+5Years since publication4008001.2k

Peers

Sinan Wu
Comparison fields: 5 of 122
  • Internal Medicine 178
  • Pulmonary and Respiratory Medicine 1.1k
  • Health, Toxicology and Mutagenesis 339
  • Physiology 508
  • Geriatrics and Gerontology 29
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Xiangyan Zhang China
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Sinan Wu relative to Xiangyan Zhang China Xiangyan Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sinan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sinan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China Pulmonary Health [CPH] study): a national cross-sectional study
Hit paper breakdown →
20181212
2
Prevalence, risk factors, and management of asthma in China: a national cross-sectional study
Hit paper breakdown →
2019545
3 2020146
4 2018108
5 202168
6 201760
7 201356
8 201451
9 202145
10 201641
11 202137
12 202428
13 202326
14 202222
15 201920
16 202220
17 202017
18 201814
19 202012
20 20239

About Sinan Wu

Sinan Wu is a scholar working on Internal Medicine, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Physiology and Demography, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers), Venous Thromboembolism Diagnosis and Management (10 papers), Air Quality and Health Impacts (4 papers), Innovations in Medical Education (3 papers), Nutrition and Health in Aging (3 papers), Elder Abuse and Neglect (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Internal Medicine (178 citations), Pulmonary and Respiratory Medicine (1.1k citations), Health, Toxicology and Mutagenesis (339 citations), Physiology (508 citations) and Geriatrics and Gerontology (29 citations). Sinan Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chen Wang, Qian Liu, Keqin Rao, Tiemei Zhang, Huan Gong, Jing Pang, Yiwen Han, Guohui Fan, Hao Yang and Jianguo Zhu. Their work appears in journals such as CHEST Journal, The Lancet, Frontiers in Medicine, American Journal of Respiratory and Critical Care Medicine and BMC Ophthalmology.

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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