Mingxia Jiang
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- interferon and immune responses
- Nephrology top 5%
Papers in
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- Nanoplatforms for cancer theranostics 10
-
- Inflammasome and immune disorders 6
- Cell death mechanisms and regulation 3
- Co-authors
- Ling Qi (7 shared papers)Yanjing Li (5 shared papers)Lisha Li (4 shared papers)Yiming Wu (5 shared papers)Dongfeng Song (5 shared papers)Weifen Zhang (9 shared papers)Xiuwen Guan (10 shared papers)Junqing Gan (5 shared papers)
- Journals
- International Journal of Cancer (3 papers)Journal of Advanced Research (2 papers)BMC Cancer (2 papers)Journal of Colloid and Interface Science (2 papers)Nanoscale (2 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Mingxia Jiang
46 papers receiving 1.5k citations
Mingxia Jiang's Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology 338
- Nephrology 86
- Molecular Biology 851
- Cancer Research 162
- Biomaterials 125
Countries citing papers authored by Mingxia Jiang
This map shows the geographic impact of Mingxia Jiang'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 Mingxia Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Jiang more than expected).
Fields of papers citing papers by Mingxia Jiang
This network shows the impact of papers produced by Mingxia Jiang. 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 Mingxia Jiang. The network helps show where Mingxia Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxia Jiang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The caspase-3/GSDME signal pathway as a switch between apoptosis and pyroptosis in cancer Hit paper breakdown → | 2020 | 499 |
| 2 | 2021 | 155 | |
| 3 | 2021 | 135 | |
| 4 | 2021 | 103 | |
| 5 | 2021 | 90 | |
| 6 | 2021 | 69 | |
| 7 | 2022 | 48 | |
| 8 | 2021 | 47 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 28 | |
| 11 | 2023 | 28 | |
| 12 | 2024 | 27 | |
| 13 | 2021 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 2024 | 23 | |
| 16 | 2021 | 23 | |
| 17 | 2017 | 20 | |
| 18 | 2016 | 16 | |
| 19 | 2024 | 16 | |
| 20 | 2020 | 14 |
About Mingxia Jiang
Mingxia Jiang is a scholar working on Biomedical Engineering, Molecular Biology, Oncology, Immunology and Epidemiology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (10 papers), Inflammasome and immune disorders (6 papers), HER2/EGFR in Cancer Research (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Mycobacterium research and diagnosis (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Immunology (338 citations), Nephrology (86 citations), Molecular Biology (851 citations), Cancer Research (162 citations) and Biomaterials (125 citations). Mingxia Jiang has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Ling Qi, Yanjing Li, Lisha Li, Yiming Wu, Dongfeng Song, Weifen Zhang, Xiuwen Guan, Junqing Gan, Yuxian Bai and Jinlong Ma. Their work appears in journals such as International Journal of Cancer, Journal of Advanced Research, BMC Cancer, Journal of Colloid and Interface Science and Nanoscale.
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.