Chenkai Ma
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
- Circular RNAs in diseases
Papers in
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- MicroRNA in disease regulation 4
- Cancer Genomics and Diagnostics 4
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Kim Y. C. FungJason P. RossYi Jin LiewWarwick J. LockeDominic GuanzonKonsta DuesingJin QianQifeng Li
- Journals
- Cancers (3 papers)Child s Nervous System (2 papers)International Journal of Molecular Sciences (2 papers)PLoS ONE (2 papers)Prostate Cancer and Prostatic Diseases (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Chenkai Ma
24 papers receiving 748 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 319
- Molecular Biology 518
- Oncology 144
- Pulmonary and Respiratory Medicine 106
- Reproductive Medicine 25
Countries citing papers authored by Chenkai Ma
This map shows the geographic impact of Chenkai Ma'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 Chenkai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenkai Ma more than expected).
Fields of papers citing papers by Chenkai Ma
This network shows the impact of papers produced by Chenkai Ma. 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 Chenkai Ma. The network helps show where Chenkai Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chenkai Ma, 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 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 53 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 95 | |
| 10 | 2021 | 17 | |
| 11 | DNA Methylation Cancer Biomarkers: Translation to the Clinic Hit paper breakdown → | 2019 | 317 |
| 12 | 2018 | 37 | |
| 13 | 2017 | 12 | |
| 14 | 2017 | 2 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 43 | |
| 17 | 2013 | 9 | |
| 18 | 2013 | 16 | |
| 19 | 2012 | 0 | |
| 20 | DESIGN STUDIES ON 100MeV / 100kW ELECTRON LINAC FOR NSC KIPT NEUTRON SOURCE ON THE BASE OF SUBCRITICAL ASSEMBLY DRIVEN BY LINAC | 2011 | 3 |
About Chenkai Ma
Chenkai Ma is a scholar working on Cancer Research, Developmental Neuroscience, Ophthalmology, Oncology and Neurology, having authored 27 papers that have together received 754 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers), interferon and immune responses (2 papers), Glioma Diagnosis and Treatment (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (319 citations), Molecular Biology (518 citations), Oncology (144 citations), Pulmonary and Respiratory Medicine (106 citations) and Reproductive Medicine (25 citations). Chenkai Ma has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Kim Y. C. Fung, Jason P. Ross, Yi Jin Liew, Warwick J. Locke, Dominic Guanzon, Konsta Duesing, Jin Qian, Qifeng Li, Erinn B. Rankin and Joshua T. Eggold. Their work appears in journals such as Cancers, Child s Nervous System, International Journal of Molecular Sciences, PLoS ONE and Prostate Cancer and Prostatic Diseases.
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.