Kai Ma
Impact in
- Biological Psychiatry top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Insect Resistance and Genetics 4
- Plant Gene Expression Analysis 4
- RNA modifications and cancer 4
- Circular RNAs in diseases 4
- DNA Repair Mechanisms 3
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Co-authors
- Ningzhi Xu (12 shared papers)Hongxia Zhu (12 shared papers)Lechuang Chen (8 shared papers)Shufang Liang (6 shared papers)Shuren Wang (8 shared papers)Chenfei Hu (6 shared papers)Qing Xu (5 shared papers)Weina Zhang (3 shared papers)
- Journals
- European Journal of Cardio-Thoracic Surgery (4 papers)PLoS ONE (3 papers)Oncotarget (3 papers)International Immunopharmacology (3 papers)Molecular Carcinogenesis (3 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Kai Ma
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Biological Psychiatry 32
- Cancer Research 158
- Developmental Neuroscience 35
- Molecular Biology 582
- Endocrine and Autonomic Systems 52
Countries citing papers authored by Kai Ma
This map shows the geographic impact of Kai 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 Kai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ma more than expected).
Fields of papers citing papers by Kai Ma
This network shows the impact of papers produced by Kai 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 Kai Ma. The network helps show where Kai Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 91 | |
| 2 | 2014 | 66 | |
| 3 | 2016 | 56 | |
| 4 | 2015 | 52 | |
| 5 | 1995 | 51 | |
| 6 | 2014 | 49 | |
| 7 | 2016 | 48 | |
| 8 | 2018 | 44 | |
| 9 | 2014 | 42 | |
| 10 | 2015 | 40 | |
| 11 | 2014 | 39 | |
| 12 | 2022 | 33 | |
| 13 | 2015 | 33 | |
| 14 | 2014 | 31 | |
| 15 | 2020 | 31 | |
| 16 | 2022 | 29 | |
| 17 | 2016 | 28 | |
| 18 | 2016 | 28 | |
| 19 | 2017 | 26 | |
| 20 | 2019 | 25 |
About Kai Ma
Kai Ma is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Plant Science and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (9 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Insect Resistance and Genetics (4 papers), Plant Gene Expression Analysis (4 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Cancer Research (158 citations), Developmental Neuroscience (35 citations), Molecular Biology (582 citations) and Endocrine and Autonomic Systems (52 citations). Kai Ma has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Ningzhi Xu, Hongxia Zhu, Lechuang Chen, Shufang Liang, Shuren Wang, Chenfei Hu, Qing Xu, Weina Zhang, Mei Liu and Fanxing Xu. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, PLoS ONE, Oncotarget, International Immunopharmacology and Molecular Carcinogenesis.
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.