Cao Ma
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Surgery 5
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- Signaling Pathways in Disease 1
- Co-authors
- Xu He (5 shared papers)Chenchen Pi (5 shared papers)Yingai Shi (5 shared papers)Yanan Sun (4 shared papers)Jing Cheng (1 shared paper)Xiaoguang Wu (1 shared paper)Xiaohui Zheng (1 shared paper)Yue Yang (3 shared papers)
- Journals
- Cytopathology (2 papers)International Journal of Cardiology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)BMC Medicine (1 paper)Systems Biology in Reproductive Medicine (1 paper)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Cao Ma
22 papers receiving 683 citations
Peers
Comparison fields: 5 of 83
- Geriatrics and Gerontology 64
- Cancer Research 132
- Aging 14
- Biological Psychiatry 19
- Cardiology and Cardiovascular Medicine 166
Countries citing papers authored by Cao Ma
This map shows the geographic impact of Cao 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 Cao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cao Ma more than expected).
Fields of papers citing papers by Cao Ma
This network shows the impact of papers produced by Cao 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 Cao Ma. The network helps show where Cao Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Cao 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 155 | |
| 2 | 2020 | 131 | |
| 3 | 2020 | 80 | |
| 4 | 2017 | 70 | |
| 5 | 2024 | 61 | |
| 6 | 2020 | 45 | |
| 7 | 2021 | 32 | |
| 8 | 2017 | 30 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2004 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 4 | |
| 17 | Study of lipids, insulin metabolism, and paraoxonase-2-311 polymorphism in patients with different subtypes of Alzheimer's disease (translated version). | 2013 | 4 |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 1 |
About Cao Ma
Cao Ma is a scholar working on Surgery, Molecular Biology, Cancer Research, Geriatrics and Gerontology and Oncology, having authored 23 papers that have together received 686 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Mesenchymal stem cell research (3 papers), Cancer-related molecular mechanisms research (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Advanced Glycation End Products research (2 papers), Bone health and treatments (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Geriatrics and Gerontology (64 citations), Cancer Research (132 citations), Aging (14 citations), Biological Psychiatry (19 citations) and Cardiology and Cardiovascular Medicine (166 citations). Cao Ma has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Xu He, Chenchen Pi, Yingai Shi, Yanan Sun, Jing Cheng, Xiaoguang Wu, Xiaohui Zheng, Yue Yang, Peng Wei and Hui Sun. Their work appears in journals such as Cytopathology, International Journal of Cardiology, Frontiers in Cell and Developmental Biology, BMC Medicine and Systems Biology in Reproductive Medicine.
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.