Kai Cheng
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- RNA modifications and cancer
Papers in
- Spectroscopy 51
- Advanced Proteomics Techniques and Applications 44
- Mass Spectrometry Techniques and Applications 19
-
- Glycosylation and Glycoproteins Research 28
- Metabolomics and Mass Spectrometry Studies 16
- Gut microbiota and health 16
- Genomics and Phylogenetic Studies 12
- Protein Structure and Dynamics 8
- Co-authors
- Hanfa ZouMingliang YeFangjun WangDaniel FigeysYangyang BianZhibin NingXu ZhangJanice Mayne
- Journals
- Analytical Chemistry (21 papers)Journal of Proteome Research (11 papers)Scientific Reports (6 papers)Journal of Proteomics (6 papers)PROTEOMICS (6 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Kai Cheng
145 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 152
- Spectroscopy 1.1k
- Molecular Biology 3.1k
- Cancer Research 553
- Oncology 446
- Cell Biology 221
Countries citing papers authored by Kai Cheng
This map shows the geographic impact of Kai Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Cheng more than expected).
Fields of papers citing papers by Kai Cheng
This network shows the impact of papers produced by Kai Cheng. 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 Cheng. The network helps show where Kai Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Cheng, 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 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 104 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 155 | |
| 15 | 2018 | 191 | |
| 16 | 2018 | 41 | |
| 17 | 2016 | 124 | |
| 18 | 2015 | 84 | |
| 19 | 2014 | 35 | |
| 20 | 2014 | 23 |
About Kai Cheng
Kai Cheng is a scholar working on Spectroscopy, Molecular Biology, Oncology, Biochemistry and Infectious Diseases, having authored 152 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (44 papers), Glycosylation and Glycoproteins Research (28 papers), Mass Spectrometry Techniques and Applications (19 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Gut microbiota and health (16 papers), Genomics and Phylogenetic Studies (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Molecular Biology (3.1k citations), Cancer Research (553 citations), Oncology (446 citations) and Cell Biology (221 citations). Kai Cheng has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hanfa Zou, Mingliang Ye, Fangjun Wang, Daniel Figeys, Yangyang Bian, Zhibin Ning, Xu Zhang, Janice Mayne, Leyuan Li and Chunxia Song. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Scientific Reports, Journal of Proteomics and PROTEOMICS.
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.