Kai Wang
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 11
- Cancer Genomics and Diagnostics 7
- Molecular Biology top 2%
- RNA modifications and cancer 10
- Bioinformatics and Genomic Networks 8
- Oncology top 5%
- Cancer Cells and Metastasis 10
- Cancer-related Molecular Pathways 6
- Immunology top 5%
- Nephrology top 5%
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- Geological and Geochemical Analysis 9
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- Ferroptosis and cancer prognosis 9
- Co-authors
- Andrea CalifanoWei Keat LimCéline LefèbvreAdam A. MargolinKatia BassoRiccardo Dalla‐FaveraManjunath KustagiIlya Nemenman
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Kai Wang
122 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Cancer Research 1.1k
- Molecular Biology 3.1k
- Oncology 721
- Immunology 445
- Nephrology 143
Countries citing papers authored by Kai Wang
This map shows the geographic impact of Kai 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 Kai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wang more than expected).
Fields of papers citing papers by Kai Wang
This network shows the impact of papers produced by Kai 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 Kai Wang. The network helps show where Kai Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai 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 | 2025 | 0 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 42 | |
| 7 | Cleavage of GSDME by caspase-3 determines lobaplatin-induced pyroptosis in colon cancer cellsbreakdown → | 2019 | 383 |
| 8 | 2019 | 36 | |
| 9 | 2018 | 38 | |
| 10 | 2015 | 122 | |
| 11 | Secondary reaction textures in the Bayan Obo carbonatite | 2015 | 1 |
| 12 | 2012 | 7 | |
| 13 | 2012 | 44 | |
| 14 | 2012 | 3 | |
| 15 | 2012 | 65 | |
| 16 | 2011 | 1 | |
| 17 | 2011 | 50 | |
| 18 | Calcite-dolomite geothermometry of Bayan Obo carbonatites | 2010 | 11 |
| 19 | 2010 | 41 | |
| 20 | Fault diagnosis investigation of machine based on one-class hyperspherical SVM | 2008 | 2 |
About Kai Wang
Kai Wang is a scholar working on Cancer Research, Otorhinolaryngology, Oncology, Molecular Biology and Geophysics, having authored 126 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (10 papers), Cancer Cells and Metastasis (10 papers), Geological and Geochemical Analysis (9 papers), Ferroptosis and cancer prognosis (9 papers), Bioinformatics and Genomic Networks (8 papers), Cancer Genomics and Diagnostics (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.1k citations), Oncology (721 citations), Immunology (445 citations) and Nephrology (143 citations). Kai Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Andrea Califano, Wei Keat Lim, Céline Lefèbvre, Adam A. Margolin, Katia Basso, Riccardo Dalla‐Favera, Manjunath Kustagi, Ilya Nemenman, Jianbao Zheng and Xuejun Sun. Their work appears in journals such as PLoS ONE, Precambrian Research, Molecular Systems Biology, Blood and International Journal of Oncology.
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.