Mujie Ye
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 10
- Cancer-related gene regulation 4
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- Cancer-related molecular mechanisms research 9
- Cancer, Hypoxia, and Metabolism 5
- Cancer, Lipids, and Metabolism 4
- Co-authors
- Kuiran Dong (14 shared papers)Baihui Liu (10 shared papers)Meng Wei (10 shared papers)Feiyu Lu (14 shared papers)Jinhao Chen (13 shared papers)Jian’an Bai (17 shared papers)Qiyun Tang (16 shared papers)Duan Ma (5 shared papers)
- Journals
- International Journal of Biological Sciences (6 papers)The FASEB Journal (3 papers)Cancer Cell International (3 papers)Journal of Cancer (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- ChinaSouth KoreaGermany
In The Last Decade
Mujie Ye
35 papers receiving 558 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 232
- Molecular Biology 373
- Oncology 71
- Neurology 25
- Epidemiology 48
Countries citing papers authored by Mujie Ye
This map shows the geographic impact of Mujie Ye'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 Mujie Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mujie Ye more than expected).
Fields of papers citing papers by Mujie Ye
This network shows the impact of papers produced by Mujie Ye. 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 Mujie Ye. The network helps show where Mujie Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Mujie Ye, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 64 | |
| 2 | 2020 | 63 | |
| 3 | 2023 | 41 | |
| 4 | 2023 | 41 | |
| 5 | 2024 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2023 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 9 |
About Mujie Ye
Mujie Ye is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Neurology, having authored 40 papers that have together received 561 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (11 papers), Neuroblastoma Research and Treatments (10 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (9 papers), Lung Cancer Research Studies (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Cancer Research (232 citations), Molecular Biology (373 citations), Oncology (71 citations), Neurology (25 citations) and Epidemiology (48 citations). Mujie Ye has collaborated with scholars based in China, South Korea and Germany. Frequent co-authors include Kuiran Dong, Baihui Liu, Meng Wei, Feiyu Lu, Jinhao Chen, Jian’an Bai, Qiyun Tang, Duan Ma, Wei Meng and Chunhua Hu. Their work appears in journals such as International Journal of Biological Sciences, The FASEB Journal, Cancer Cell International, Journal of Cancer and Journal of Translational Medicine.
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.