Ming Cai
Impact in
- Pharmacology top 10%
- Berberine and alkaloids research
-
- Chronic Kidney Disease and Diabetes
Papers in
-
- Circular RNAs in diseases 3
- Gut microbiota and health 2
- Surgery 4
- Pancreatic function and diabetes 1
- Co-authors
- Wei‐Jian Ni (4 shared papers)Wei Wei (2 shared papers)Liqin Tang (2 shared papers)Feng Yang (1 shared paper)Xiaofeng Zhai (1 shared paper)Lei Lü (1 shared paper)Fei Wang (1 shared paper)Sheng Liu (1 shared paper)
- Journals
- Frontiers in Cell and Developmental Biology (1 paper)Frontiers in Immunology (1 paper)Neurology (1 paper)BMC Cancer (1 paper)Cancer Management and Research (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ming Cai
15 papers receiving 322 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 47
- Nephrology 38
- Cancer Research 64
- Pharmacology 64
- Pathology and Forensic Medicine 45
Countries citing papers authored by Ming Cai
This map shows the geographic impact of Ming Cai'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 Ming Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cai more than expected).
Fields of papers citing papers by Ming Cai
This network shows the impact of papers produced by Ming Cai. 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 Ming Cai. The network helps show where Ming Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Cai, 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 | 2011 | 47 | |
| 2 | 2012 | 45 | |
| 3 | 2015 | 41 | |
| 4 | 2023 | 38 | |
| 5 | 2019 | 35 | |
| 6 | 2016 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2014 | 17 | |
| 9 | 2017 | 14 | |
| 10 | Overexpression of circRNA chr7:154954255-154998784+ in cancer-associated pancreatic stellate cells promotes the growth and metastasis of pancreatic cancer by targeting the miR-4459/KIAA0513 axis. | 2020 | 14 |
| 11 | 2021 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Ming Cai
Ming Cai is a scholar working on Molecular Biology, Surgery, Pharmacology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 325 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Berberine and alkaloids research (3 papers), MicroRNA in disease regulation (2 papers), Acute Ischemic Stroke Management (2 papers), Cancer-related molecular mechanisms research (2 papers), Gut microbiota and health (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Pharmacology (47 citations), Nephrology (38 citations), Cancer Research (64 citations), Pharmacology (64 citations) and Pathology and Forensic Medicine (45 citations). Ming Cai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wei‐Jian Ni, Wei Wei, Liqin Tang, Feng Yang, Xiaofeng Zhai, Lei Lü, Fei Wang, Sheng Liu, Shanshan Li and Qing Yuan. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Frontiers in Immunology, Neurology, BMC Cancer and Cancer Management and 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.