Sinan Wu

69 total papers · 3.7k total citations
27 papers, 317 citations indexed

About

Sinan Wu is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Molecular Biology. According to data from OpenAlex, Sinan Wu has authored 27 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Sinan Wu's work include Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Asthma and respiratory diseases (3 papers). Sinan Wu is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Asthma and respiratory diseases (3 papers). Sinan Wu collaborates with scholars based in China, United States and Macao. Sinan Wu's co-authors include Chen Wang, Qian Liu, Keqin Rao, Huan Gong, Jing Pang, Ping Zeng, Yiwen Han, Tiemei Zhang, Guohui Fan and Jianguo Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Journal of Hazardous Materials.

In The Last Decade

Sinan Wu

26 papers receiving 312 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sinan Wu 94 47 42 35 33 27 317
Seyed Mehdi Ahmadi 69 0.7× 41 0.9× 11 0.3× 22 0.6× 12 0.4× 25 328
Xiang Gu 64 0.7× 47 1.0× 46 1.1× 23 0.7× 6 0.2× 24 334
Matteo Monzio Compagnoni 34 0.4× 27 0.6× 35 0.8× 37 1.1× 29 0.9× 29 312
Hyeonyoung Ko 37 0.4× 52 1.1× 56 1.3× 10 0.3× 6 0.2× 31 345
Mary Hannan 49 0.5× 34 0.7× 31 0.7× 12 0.3× 8 0.2× 26 341
Katherine Mulloy 33 0.4× 41 0.9× 37 0.9× 6 0.2× 157 4.8× 31 330
Hee‐Yeon Kang 46 0.5× 125 2.7× 32 0.8× 9 0.3× 4 0.1× 39 362
Elsheba Mathew 70 0.7× 46 1.0× 18 0.4× 13 0.4× 5 0.2× 30 312
Chimezie Okwuonu 23 0.2× 29 0.6× 14 0.3× 17 0.5× 6 0.2× 25 252
Teresa Schmidt 21 0.2× 97 2.1× 12 0.3× 17 0.5× 17 0.5× 39 316

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-authorship network of co-authors of Sinan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sinan Wu. A scholar is included among the top collaborators of Sinan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sinan Wu. Sinan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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