Changsen Wang
Impact in
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- Atherosclerosis and Cardiovascular Diseases
- Cell Biology top 10%
- Caveolin-1 and cellular processes
Papers in
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Warren L. Lee (14 shared papers)Bryan Heit (6 shared papers)Susan Armstrong (7 shared papers)Karen Fung (3 shared papers)Paymon Azizi (3 shared papers)Michael G. Sugiyama (4 shared papers)Gregory D. Fairn (3 shared papers)Steffen‐Sebastian Bolz (2 shared papers)
- Journals
- Molecular Biology of the Cell (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)The FASEB Journal (2 papers)Cell Death Discovery (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Changsen Wang
25 papers receiving 987 citations
Peers
Comparison fields: 5 of 95
- Immunology 203
- Cell Biology 157
- Neurology 69
- Immunology and Allergy 38
- Physiology 153
Countries citing papers authored by Changsen Wang
This map shows the geographic impact of Changsen Wang'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 Changsen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changsen Wang more than expected).
Fields of papers citing papers by Changsen Wang
This network shows the impact of papers produced by Changsen Wang. 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 Changsen Wang. The network helps show where Changsen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Changsen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 121 | |
| 2 | 2017 | 98 | |
| 3 | 2012 | 91 | |
| 4 | 2014 | 72 | |
| 5 | 2017 | 65 | |
| 6 | 2015 | 62 | |
| 7 | 2015 | 54 | |
| 8 | 2013 | 52 | |
| 9 | 2015 | 52 | |
| 10 | 2011 | 51 | |
| 11 | 1999 | 49 | |
| 12 | 2003 | 47 | |
| 13 | 2020 | 31 | |
| 14 | 2019 | 29 | |
| 15 | 2015 | 25 | |
| 16 | 2018 | 23 | |
| 17 | 1998 | 21 | |
| 18 | 2023 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 1996 | 15 |
About Changsen Wang
Changsen Wang is a scholar working on Molecular Biology, Physiology, Cell Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Blood properties and coagulation (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Influenza Virus Research Studies (3 papers), Barrier Structure and Function Studies (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (203 citations), Cell Biology (157 citations), Neurology (69 citations), Immunology and Allergy (38 citations) and Physiology (153 citations). Changsen Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Warren L. Lee, Bryan Heit, Susan Armstrong, Karen Fung, Paymon Azizi, Michael G. Sugiyama, Gregory D. Fairn, Steffen‐Sebastian Bolz, Bihong Hong and Kaikai Bai. Their work appears in journals such as Molecular Biology of the Cell, Arteriosclerosis Thrombosis and Vascular Biology, The FASEB Journal, Cell Death Discovery and Scientific Reports.
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.