Ming Yi
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers 30
- CAR-T cell therapy research 10
- Immunology top 0.5%
- Immune Cell Function and Interaction 11
- Immune cells in cancer 10
- Immunotherapy and Immune Responses 9
- Cancer Research top 1%
- Water Science and Technology top 1%
- Membrane Separation Technologies 19
- Molecular Biology top 2%
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- Peripheral Neuropathies and Disorders 9
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- Membrane-based Ion Separation Techniques 9
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Journal of Hematology & Oncology (16 papers)Experimental Hematology and Oncology (10 papers)Molecular Cancer (8 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ming Yi
147 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Oncology 4.8k
- Immunology 3.1k
- Cancer Research 1.5k
- Water Science and Technology 828
- Molecular Biology 3.1k
Countries citing papers authored by Ming Yi
This map shows the geographic impact of Ming Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yi more than expected).
Fields of papers citing papers by Ming Yi
This network shows the impact of papers produced by Ming Yi. 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 Yi. The network helps show where Ming Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Yi, 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 | 1 | |
| 2 | Global status and attributable risk factors of breast, cervical, ovarian, and uterine cancers from 1990 to 2021breakdown → | 2025 | 49 |
| 3 | 2025 | 1 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 31 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 50 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 1 | |
| 12 | Polyamide-based membranes with structural homogeneity for ultrafast molecular sievingbreakdown → | 2022 | 265 |
| 13 | 2022 | 2 | |
| 14 | 2021 | 25 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 28 | |
| 17 | 2021 | 105 | |
| 18 | 2021 | 20 | |
| 19 | 2020 | 63 | |
| 20 | 2003 | 60 |
About Ming Yi
Ming Yi is a scholar working on Oncology, Immunology, Water Science and Technology, Cancer Research and Biotechnology, having authored 150 papers that have together received 10.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (30 papers), Membrane Separation Technologies (19 papers), Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (10 papers), Immune cells in cancer (10 papers), Peripheral Neuropathies and Disorders (9 papers), Membrane-based Ion Separation Techniques (9 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Oncology (4.8k citations), Immunology (3.1k citations), Cancer Research (1.5k citations), Water Science and Technology (828 citations) and Molecular Biology (3.1k citations). Ming Yi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Kongming Wu, Shuang Qin, Mengke Niu, Suxia Luo, Qian Chu, Anping Li, Shengnan Yu, Linping Xu, Shuangli Zhu and Dechao Jiao. Their work appears in journals such as Journal of Hematology & Oncology, Experimental Hematology and Oncology, Molecular Cancer, Journal of Membrane Science and Frontiers in Immunology.
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.