Maolin Ge
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Extracellular vesicles in disease
- Redox biology and oxidative stress
- Genomics, phytochemicals, and oxidative stress
- Ubiquitin and proteasome pathways
Papers in
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- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Extracellular vesicles in disease 2
- Genomics, phytochemicals, and oxidative stress 2
- Redox biology and oxidative stress 2
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- MicroRNA in disease regulation 3
- Co-authors
- Han Liu (11 shared papers)Zhi Qiao (6 shared papers)Thales Y. Papagiannakopoulos (1 shared paper)Liron Bar‐Peled (1 shared paper)Yan Kong (3 shared papers)Hui Juan Lu (3 shared papers)Fang Liu (3 shared papers)Zhen Luo (3 shared papers)
- Journals
- Cancer Science (2 papers)Cell Metabolism (2 papers)Leukemia (2 papers)British Journal of Cancer (1 paper)Journal of Molecular Cell Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Maolin Ge
21 papers receiving 462 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 65
- Molecular Biology 228
- Hematology 29
- Immunology 34
- Geriatrics and Gerontology 6
Countries citing papers authored by Maolin Ge
This map shows the geographic impact of Maolin Ge'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 Maolin Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maolin Ge more than expected).
Fields of papers citing papers by Maolin Ge
This network shows the impact of papers produced by Maolin Ge. 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 Maolin Ge. The network helps show where Maolin Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Maolin Ge, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 105 | |
| 2 | 2024 | 54 | |
| 3 | 2019 | 44 | |
| 4 | 2023 | 33 | |
| 5 | 2017 | 32 | |
| 6 | 2015 | 26 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2025 | 12 | |
| 14 | 2025 | 12 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 4 |
About Maolin Ge
Maolin Ge is a scholar working on Molecular Biology, Cancer Research, Hematology, Immunology and Oncology, having authored 22 papers that have together received 467 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (3 papers), Click Chemistry and Applications (2 papers), Protein Degradation and Inhibitors (2 papers), Extracellular vesicles in disease (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Redox biology and oxidative stress (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Cancer Research (65 citations), Molecular Biology (228 citations), Hematology (29 citations), Immunology (34 citations) and Geriatrics and Gerontology (6 citations). Maolin Ge has collaborated with scholars based in China and United States. Frequent co-authors include Han Liu, Zhi Qiao, Thales Y. Papagiannakopoulos, Liron Bar‐Peled, Yan Kong, Hui Juan Lu, Fang Liu, Zhen Luo, Jianguo Wu and Hua Xiao. Their work appears in journals such as Cancer Science, Cell Metabolism, Leukemia, British Journal of Cancer and Journal of Molecular Cell Biology.
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.