Shih-Ya Wang
Impact in
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- DNA Repair Mechanisms
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
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- Carcinogens and Genotoxicity Assessment
Papers in
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- DNA Repair Mechanisms 9
- Genomics and Chromatin Dynamics 2
- FOXO transcription factor regulation 1
- Mitochondrial Function and Pathology 1
- Cell death mechanisms and regulation 1
- Oncology 7
- Cancer-related Molecular Pathways 5
- PARP inhibition in cancer therapy 3
- Co-authors
- David J. Chen (7 shared papers)Yosef Shiloh (2 shared papers)Yaniv Lerenthal (1 shared paper)Maayan Salton (1 shared paper)Ruedi Aebersold (1 shared paper)Yael Ziv (1 shared paper)Ariel Bensimon (1 shared paper)Ran Elkon (1 shared paper)
- Journals
- Nature Communications (1 paper)Journal of Biological Chemistry (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Nucleic Acids Research (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Shih-Ya Wang
9 papers receiving 750 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 639
- Cancer Research 123
- Aging 15
- Oncology 196
- Cell Biology 71
Countries citing papers authored by Shih-Ya Wang
This map shows the geographic impact of Shih-Ya 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 Shih-Ya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Ya Wang more than expected).
Fields of papers citing papers by Shih-Ya Wang
This network shows the impact of papers produced by Shih-Ya 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 Shih-Ya Wang. The network helps show where Shih-Ya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih-Ya 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 232 | |
| 2 | 2010 | 169 | |
| 3 | 2012 | 76 | |
| 4 | 2015 | 76 | |
| 5 | 2009 | 68 | |
| 6 | 2011 | 64 | |
| 7 | 2008 | 52 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 4 |
About Shih-Ya Wang
Shih-Ya Wang is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cell Biology and Cancer Research, having authored 9 papers that have together received 756 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), Cancer-related Molecular Pathways (5 papers), PARP inhibition in cancer therapy (3 papers), Genomics and Chromatin Dynamics (2 papers), FOXO transcription factor regulation (1 paper), Mitochondrial Function and Pathology (1 paper), Genetic factors in colorectal cancer (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Molecular Biology (639 citations), Cancer Research (123 citations), Aging (15 citations), Oncology (196 citations) and Cell Biology (71 citations). Shih-Ya Wang has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include David J. Chen, Yosef Shiloh, Yaniv Lerenthal, Maayan Salton, Ruedi Aebersold, Yael Ziv, Ariel Bensimon, Ran Elkon, Alexander Schmidt and Benjamin P.C. Chen. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Nucleic Acids Research and Molecular and Cellular Biology.
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.