Ming Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Circular RNAs in diseases
- Protein Tyrosine Phosphatases
- Cancer-related gene regulation
Papers in
-
- RNA modifications and cancer 2
- Single-cell and spatial transcriptomics 1
- TGF-β signaling in diseases 1
- Oncology 5
- Cancer Cells and Metastasis 4
- Lymphatic System and Diseases 1
- Co-authors
- Philip W. Majerus (1 shared paper)Ilka Warshawsky (1 shared paper)Xinyu Zheng (5 shared papers)Haiyang Jiang (2 shared papers)Ting Ge (1 shared paper)Dawei Ge (1 shared paper)Xiaowei Li (1 shared paper)Yu Xu (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Clinical & Translational Oncology (1 paper)Alzheimer s & Dementia (1 paper)Scientific Reports (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ming Gu
17 papers receiving 471 citations
Ming Gu's Hit Papers
Peers
Comparison fields: 5 of 71
- Cancer Research 171
- Molecular Biology 336
- Immunology 70
- Cardiology and Cardiovascular Medicine 74
- Aging 5
Countries citing papers authored by Ming Gu
This map shows the geographic impact of Ming Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Gu more than expected).
Fields of papers citing papers by Ming Gu
This network shows the impact of papers produced by Ming Gu. 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 Gu. The network helps show where Ming Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Gu, 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 | 2017 | 175 | |
| 2 | 1992 | 77 | |
| 3 | 2019 | 72 | |
| 4 | Autophagy in aging-related diseases and cancer: Principles, regulatory mechanisms and therapeutic potential Hit paper breakdown → | 2024 | 37 |
| 5 | 2012 | 23 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Ming Gu
Ming Gu is a scholar working on Molecular Biology, Oncology, Surgery, Rheumatology and Cancer Research, having authored 19 papers that have together received 473 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Single-cell and spatial transcriptomics (1 paper), Lymphatic System and Diseases (1 paper), TGF-β signaling in diseases (1 paper), Galectins and Cancer Biology (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (171 citations), Molecular Biology (336 citations), Immunology (70 citations), Cardiology and Cardiovascular Medicine (74 citations) and Aging (5 citations). Ming Gu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Philip W. Majerus, Ilka Warshawsky, Xinyu Zheng, Haiyang Jiang, Ting Ge, Dawei Ge, Xiaowei Li, Yu Xu, Wenhui Zheng and Jinxia Yuan. Their work appears in journals such as Frontiers in Oncology, Clinical & Translational Oncology, Alzheimer s & Dementia, Scientific Reports and International Journal of Biological Macromolecules.
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.