Yu‐Wen E. Chang
Impact in
- Pharmacology top 10%
- Inflammatory mediators and NSAID effects
-
- Pain Mechanisms and Treatments
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 7
- Cell death mechanisms and regulation 3
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
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- Inflammatory mediators and NSAID effects 6
- Co-authors
- Jolinda A. Traugh (4 shared papers)Rolf Jakobi (7 shared papers)Andrey Sorokin (4 shared papers)Michael J. Dünn (3 shared papers)Ann McGinty (3 shared papers)Sulayman D. Dib‐Hajj (1 shared paper)Stephen G. Waxman (1 shared paper)Lynda Tyrrell (1 shared paper)
- Journals
- Aging (2 papers)Journal of Biological Chemistry (2 papers)European Journal of Biochemistry (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cancer Letters (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Yu‐Wen E. Chang
20 papers receiving 663 citations
Peers
Comparison fields: 5 of 87
- Pharmacology 125
- Physiology 129
- Biochemistry 38
- Molecular Biology 333
- Cellular and Molecular Neuroscience 74
Countries citing papers authored by Yu‐Wen E. Chang
This map shows the geographic impact of Yu‐Wen E. Chang'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 Yu‐Wen E. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Wen E. Chang more than expected).
Fields of papers citing papers by Yu‐Wen E. Chang
This network shows the impact of papers produced by Yu‐Wen E. Chang. 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 Yu‐Wen E. Chang. The network helps show where Yu‐Wen E. Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Wen E. Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 148 | |
| 2 | 2000 | 76 | |
| 3 | 2000 | 66 | |
| 4 | 2006 | 47 | |
| 5 | 1997 | 45 | |
| 6 | 1995 | 44 | |
| 7 | 2009 | 41 | |
| 8 | 1998 | 37 | |
| 9 | 2000 | 26 | |
| 10 | 2009 | 24 | |
| 11 | 2015 | 17 | |
| 12 | 2005 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 2009 | 14 | |
| 15 | 1994 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2016 | 12 | |
| 18 | 2021 | 6 | |
| 19 | 2010 | 4 | |
| 20 | 2003 | 4 |
About Yu‐Wen E. Chang
Yu‐Wen E. Chang is a scholar working on Molecular Biology, Pharmacology, Oncology, Genetics and Immunology, having authored 20 papers that have together received 669 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Inflammatory mediators and NSAID effects (6 papers), Cancer-related Molecular Pathways (4 papers), Estrogen and related hormone effects (4 papers), Cell death mechanisms and regulation (3 papers), Immunotherapy and Immune Responses (3 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Pharmacology (125 citations), Physiology (129 citations), Biochemistry (38 citations), Molecular Biology (333 citations) and Cellular and Molecular Neuroscience (74 citations). Yu‐Wen E. Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jolinda A. Traugh, Rolf Jakobi, Andrey Sorokin, Michael J. Dünn, Ann McGinty, Sulayman D. Dib‐Hajj, Stephen G. Waxman, Lynda Tyrrell, Hye‐Sook Ahn and Joel A. Black. Their work appears in journals such as Aging, Journal of Biological Chemistry, European Journal of Biochemistry, Biochemical and Biophysical Research Communications and Cancer Letters.
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.