Sinan Wu

3.9k citations
29 papers · 349 · h-index 9

Impact in

Papers in

Sinan Wu

29 papers receiving 344 citations

Peers

Sinan Wu
Comparison fields: 5 of 80
  • Obstetrics and Gynecology 33
  • Internal Medicine 13
  • Health Information Management 18
  • Geriatrics and Gerontology 12
  • Physiology 85
Replace Luisa C Brant with:
Luisa C Brant Brazil
Ting‐Ying Huang United States
Denise Cifelli United States
Margarethe Wacker Germany
Eeva Reissell Finland
Xiyue Jing China
Abhishek Bhartia India
Robert Schuff United States
Jaana Isojärvi Finland
Sharmini Selvarajah Malaysia
Sinan Wu relative to Luisa C Brant Brazil Luisa C Brant's profile →
Citations per field
00.5×4.7×
Luisa C Brant · 1×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201758
2 201355
3 201450
4 201642
5 201920
6
Anxiety and Depression in Patients with Chronic Obstructive Pulmonary Disease in China: Results from the China Pulmonary Health [CPH] Study
202115
7 202015
8 201814
9 20238
10 20188
11 20238
12 20226
13 20165
14 20235
15 20255
16 20224
17 20134
18 20164
19 20243
20 20223

About Sinan Wu

Sinan Wu is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 29 papers that have together received 349 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Nutrition and Health in Aging (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Healthcare Policy and Management (2 papers), Asthma and respiratory diseases (2 papers), Healthcare Systems and Reforms (2 papers) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (33 citations), Internal Medicine (13 citations), Health Information Management (18 citations), Geriatrics and Gerontology (12 citations) and Physiology (85 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, Ping Zeng, Yiwen Han, Jing Pang, Huan Gong, Guohui Fan and Jianguo Zhu. Their work appears in journals such as CHEST Journal, American Journal of Respiratory and Critical Care Medicine, Frontiers in Medicine, International Journal of COPD and Thrombosis and Haemostasis.

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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