Kai Wang
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 13
- Molecular Biology top 2%
- RNA modifications and cancer 15
- Glycosylation and Glycoproteins Research 15
- Ubiquitin and proteasome pathways 14
- Epigenetics and DNA Methylation 9
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 20
- COVID-19 Clinical Research Studies 11
- Viral gastroenteritis research and epidemiology 9
- Immunology top 5%
- Animal Science and Zoology top 2%
- Co-authors
- Ni TangXiaoming YinDebra T. ChaoCurt MillimanS J KorsmeyerAilong HuangBing SunElizabeth Yang
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kai Wang
140 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Cancer Research 784
- Molecular Biology 3.0k
- Infectious Diseases 710
- Immunology 713
- Animal Science and Zoology 266
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 | 2024 | 8 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 96 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 40 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 85 | |
| 15 | 2020 | 130 | |
| 16 | Identification of the Different Roles and Potential Mechanisms of T Isoforms in the Tumor Recurrence and Cell Cycle of Chordomas | 2020 | 1 |
| 17 | FTO Facilitates Lung Adenocarcinoma Cell Progression by Activating Cell Migration Through mRNA Demethylation | 2020 | 2 |
| 18 | H19 Knockdown Suppresses Proliferation and Induces Apoptosis by Regulating miR-130a-3p/SATB1 in Breast Cancer Cells | 2020 | 2 |
| 19 | Determination of Serum Exosomal H19 as a Noninvasive Biomarker for Breast Cancer Diagnosis | 2020 | 5 |
| 20 | 2020 | 31 |
About Kai Wang
Kai Wang is a scholar working on Cancer Research, Infectious Diseases and Molecular Biology, having authored 155 papers that have together received 5.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), RNA modifications and cancer (15 papers), Glycosylation and Glycoproteins Research (15 papers), Ubiquitin and proteasome pathways (14 papers), Cancer, Hypoxia, and Metabolism (13 papers), COVID-19 Clinical Research Studies (11 papers), Viral gastroenteritis research and epidemiology (9 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Cancer Research (784 citations), Molecular Biology (3.0k citations) and Infectious Diseases (710 citations). Kai Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ni Tang, Xiaoming Yin, Debra T. Chao, Curt Milliman, S J Korsmeyer, Ailong Huang, Bing Sun, Elizabeth Yang, S J Korsmeyer and Zoltán N. Oltvai. Their work appears in journals such as Genes & Diseases, Cell Death and Disease, Oncogene, Viruses and Journal of Experimental & Clinical Cancer Research.
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.