Chi Wang
Impact in
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Advanced biosensing and bioanalysis techniques
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
Papers in
-
- Epigenetics and DNA Methylation 12
- RNA modifications and cancer 12
- Gene expression and cancer classification 11
- Bioinformatics and Genomic Networks 8
- Metabolomics and Mass Spectrometry Studies 7
- Advanced biosensing and bioanalysis techniques 6
-
- Cancer Genomics and Diagnostics 9
- Cancer, Hypoxia, and Metabolism 9
- Co-authors
- Hao Wu (4 shared papers)B. Mark Evers (20 shared papers)Zhijin Wu (2 shared papers)Heidi L. Weiss (21 shared papers)Binhua P. Zhou (4 shared papers)Jinpeng Liu (30 shared papers)Tiebang Kang (2 shared papers)Piotr Rychahou (8 shared papers)
- Journals
- BMC Bioinformatics (6 papers)PLoS ONE (4 papers)Biometrics (4 papers)Bioinformatics (3 papers)Cancers (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chi Wang
150 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 164
- Cancer Research 641
- Molecular Biology 2.4k
- Oncology 461
- General Materials Science 51
- Statistics and Probability 103
Countries citing papers authored by Chi Wang
This map shows the geographic impact of Chi 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 Chi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Wang more than expected).
Fields of papers citing papers by Chi Wang
This network shows the impact of papers produced by Chi 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 Chi Wang. The network helps show where Chi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 388 | |
| 2 | 2018 | 180 | |
| 3 | 2012 | 173 | |
| 4 | 2012 | 153 | |
| 5 | 2009 | 137 | |
| 6 | 2006 | 125 | |
| 7 | 2006 | 103 | |
| 8 | 2016 | 101 | |
| 9 | 2018 | 99 | |
| 10 | 2012 | 97 | |
| 11 | 2012 | 94 | |
| 12 | 2014 | 90 | |
| 13 | 1999 | 87 | |
| 14 | 2018 | 86 | |
| 15 | 2015 | 81 | |
| 16 | 2010 | 77 | |
| 17 | 2012 | 72 | |
| 18 | 2014 | 70 | |
| 19 | 2014 | 70 | |
| 20 | 2013 | 69 |
About Chi Wang
Chi Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 157 papers that have together received 4.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (12 papers), Gene expression and cancer classification (11 papers), Cancer Genomics and Diagnostics (9 papers), Cancer, Hypoxia, and Metabolism (9 papers), Bioinformatics and Genomic Networks (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Cancer Research (641 citations), Molecular Biology (2.4k citations), Oncology (461 citations), General Materials Science (51 citations) and Statistics and Probability (103 citations). Chi Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hao Wu, B. Mark Evers, Zhijin Wu, Heidi L. Weiss, Binhua P. Zhou, Jinpeng Liu, Tiebang Kang, Piotr Rychahou, Tianyan Gao and Rafael A. Irizarry. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Biometrics, Bioinformatics and Cancers.
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.