Ming Bai
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
-
- Extracellular vesicles in disease 6
- RNA Interference and Gene Delivery 4
- Melanoma and MAPK Pathways 1
- Oncology 4
- Cutaneous Melanoma Detection and Management 1
- Co-authors
- Guoguang Ying (8 shared papers)Haiyang Zhang (8 shared papers)Ting Deng (7 shared papers)Yi Ba (7 shared papers)Xinyi Wang (6 shared papers)Le Zhang (3 shared papers)Hongli Li (4 shared papers)Jialu Li (4 shared papers)
- Journals
- Molecular Therapy (2 papers)Journal of Surgical Research (1 paper)Nature Cell Biology (1 paper)Frontiers in Zoology (1 paper)Cancer Science (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ming Bai
14 papers receiving 1.3k citations
Ming Bai's Hit Papers
Peers
Comparison fields: 5 of 78
- Cancer Research 699
- Molecular Biology 1.0k
- Immunology and Allergy 37
- Cell Biology 107
- Immunology 115
Countries citing papers authored by Ming Bai
This map shows the geographic impact of Ming Bai'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 Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Bai more than expected).
Fields of papers citing papers by Ming Bai
This network shows the impact of papers produced by Ming Bai. 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 Bai. The network helps show where Ming Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Bai, 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 | Exosome-delivered EGFR regulates liver microenvironment to promote gastric cancer liver metastasis Hit paper breakdown → | 2017 | 460 |
| 2 | 2018 | 185 | |
| 3 | 2017 | 133 | |
| 4 | 2021 | 130 | |
| 5 | 2012 | 103 | |
| 6 | 2016 | 100 | |
| 7 | 2018 | 49 | |
| 8 | 2011 | 36 | |
| 9 | 2017 | 34 | |
| 10 | 2017 | 26 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 6 | |
| 13 | [Apoptosis of human lung cancer cells induced by activated peroxisome proliferator-activated receptor-gamma and its mechanism]. | 2003 | 4 |
| 14 | 2019 | 2 |
About Ming Bai
Ming Bai is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Surgery, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers), Cellular transport and secretion (2 papers), Cancer Mechanisms and Therapy (1 paper), Hydrogen's biological and therapeutic effects (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cancer Research (699 citations), Molecular Biology (1.0k citations), Immunology and Allergy (37 citations), Cell Biology (107 citations) and Immunology (115 citations). Ming Bai has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Guoguang Ying, Haiyang Zhang, Ting Deng, Yi Ba, Xinyi Wang, Le Zhang, Hongli Li, Jialu Li, Tao Ning and Rui Liu. Their work appears in journals such as Molecular Therapy, Journal of Surgical Research, Nature Cell Biology, Frontiers in Zoology and Cancer Science.
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.