Z Wang
Impact in
- Genetics top 10%
- Virus-based gene therapy research
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- RNA Interference and Gene Delivery
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 2
- Ubiquitin and proteasome pathways 2
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- Prostate Cancer Treatment and Research 4
- Co-authors
- Xiangwei Xiao (3 shared papers)Jian Zhang (2 shared papers)Linqing Sun (1 shared paper)J Li (1 shared paper)Paula J. Grabowski (2 shared papers)Heidi Hoffmann (1 shared paper)Marc Korczykowski (1 shared paper)John P. O’Reardon (1 shared paper)
- Journals
- Gene Therapy (3 papers)Oncogene (3 papers)Transplantation (2 papers)Brain Communications (1 paper)Cell (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Z Wang
12 papers receiving 698 citations
Peers
Comparison fields: 5 of 72
- Genetics 303
- Molecular Biology 512
- Genetics 35
- Cardiology and Cardiovascular Medicine 63
- Cognitive Neuroscience 48
Countries citing papers authored by Z Wang
This map shows the geographic impact of Z 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 Z Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z Wang more than expected).
Fields of papers citing papers by Z Wang
This network shows the impact of papers produced by Z 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 Z Wang. The network helps show where Z Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Z 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 | 2003 | 345 | |
| 2 | Intrinsic U2AF binding is modulated by exon enhancer signals in parallel with changes in splicing activity. | 1995 | 124 |
| 3 | 2010 | 54 | |
| 4 | 2017 | 50 | |
| 5 | 2005 | 37 | |
| 6 | Cell- and stage-specific splicing events resolved in specialized neurons of the rat cerebellum. | 1996 | 27 |
| 7 | 2013 | 24 | |
| 8 | 2016 | 18 | |
| 9 | 2004 | 15 | |
| 10 | 2005 | 5 | |
| 11 | Manipulation of androgens and alterations in the androgen receptor axis in prostate cancer. | 2008 | 4 |
| 12 | 2008 | 1 | |
| 13 | 2026 | 0 | |
| 14 | 2026 | 0 |
About Z Wang
Z Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Surgery, having authored 14 papers that have together received 704 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), RNA Research and Splicing (3 papers), Virus-based gene therapy research (2 papers), RNA Interference and Gene Delivery (2 papers), Immunotherapy and Immune Responses (2 papers), Ubiquitin and proteasome pathways (2 papers), Pancreatic function and diabetes (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Genetics (303 citations), Molecular Biology (512 citations), Genetics (35 citations), Cardiology and Cardiovascular Medicine (63 citations) and Cognitive Neuroscience (48 citations). Z Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Xiangwei Xiao, Jian Zhang, Linqing Sun, J Li, Paula J. Grabowski, Heidi Hoffmann, Marc Korczykowski, John P. O’Reardon, Yong Chen and Hong Wan. Their work appears in journals such as Gene Therapy, Oncogene, Transplantation, Brain Communications and Cell.
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.