Mingxi Lin
Impact in
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- Immune cells in cancer
- Immune Response and Inflammation
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- NF-κB Signaling Pathways
Papers in
- Oncology 10
- HER2/EGFR in Cancer Research 4
- Cancer Diagnosis and Treatment 2
- Cytokine Signaling Pathways and Interactions 2
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- Advanced Breast Cancer Therapies 4
- Brain Metastases and Treatment 2
- Co-authors
- Yizi Jin (13 shared papers)Jian Zhang (3 shared papers)Cheng Zeng (3 shared papers)Teng Zhou (3 shared papers)Xin Shen (1 shared paper)Xiaomin Ye (1 shared paper)Xinyu Chen (1 shared paper)Qing Guo (1 shared paper)
- Journals
- Cancer Medicine (2 papers)Journal of Clinical Oncology (1 paper)Signal Transduction and Targeted Therapy (1 paper)Genes and Immunity (1 paper)Cancer Research and Treatment (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Mingxi Lin
22 papers receiving 1.2k citations
Mingxi Lin's Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 168
- Cancer Research 114
- Biological Psychiatry 15
- Neurology 43
- Oncology 127
Countries citing papers authored by Mingxi Lin
This map shows the geographic impact of Mingxi Lin'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 Mingxi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxi Lin more than expected).
Fields of papers citing papers by Mingxi Lin
This network shows the impact of papers produced by Mingxi Lin. 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 Mingxi Lin. The network helps show where Mingxi Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxi Lin, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NF-κB in biology and targeted therapy: new insights and translational implications Hit paper breakdown → | 2024 | 1012 |
| 2 | 2018 | 66 | |
| 3 | 2020 | 34 | |
| 4 | 2017 | 26 | |
| 5 | 2020 | 17 | |
| 6 | 2016 | 14 | |
| 7 | 2023 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2025 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Mingxi Lin
Mingxi Lin is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Genetics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (4 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Diagnosis and Treatment (2 papers), Breast Cancer Treatment Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), NF-κB Signaling Pathways (2 papers), Brain Metastases and Treatment (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (168 citations), Cancer Research (114 citations), Biological Psychiatry (15 citations), Neurology (43 citations) and Oncology (127 citations). Mingxi Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yizi Jin, Jian Zhang, Cheng Zeng, Teng Zhou, Xin Shen, Xiaomin Ye, Xinyu Chen, Qing Guo, Wei Hou and Qianqian Peng. Their work appears in journals such as Cancer Medicine, Journal of Clinical Oncology, Signal Transduction and Targeted Therapy, Genes and Immunity and Cancer Research and Treatment.
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.