Mujie Ye
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
-
- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
Papers in
-
- Cancer-related molecular mechanisms research 10
- Cancer, Hypoxia, and Metabolism 7
- Cancer, Lipids, and Metabolism 4
-
- RNA modifications and cancer 11
- Cancer-related gene regulation 5
- Co-authors
- Kuiran Dong (14 shared papers)Baihui Liu (10 shared papers)Meng Wei (10 shared papers)Qiyun Tang (15 shared papers)Jian’an Bai (15 shared papers)Jinhao Chen (13 shared papers)Duan Ma (5 shared papers)Jingjing Zhang (1 shared paper)
- Journals
- International Journal of Biological Sciences (5 papers)Cancer Cell International (3 papers)Journal of Cancer (2 papers)Discovery Medicine (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- ChinaSouth KoreaGermany
In The Last Decade
Mujie Ye
33 papers receiving 509 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 257
- Molecular Biology 400
- Oncology 81
- Neurology 26
- Epidemiology 50
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2021 | 59 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 33 | |
| 5 | 2023 | 24 | |
| 6 | 2020 | 24 | |
| 7 | 2024 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2023 | 22 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2023 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
About Mujie Ye
Mujie Ye is a scholar working on Cancer Research, Molecular Biology, Oncology, Epidemiology and Neurology, having authored 38 papers that have together received 510 indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Neuroendocrine Tumor Research Advances (11 papers), Neuroblastoma Research and Treatments (10 papers), Cancer-related molecular mechanisms research (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Lung Cancer Research Studies (5 papers), Cancer-related gene regulation (5 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (257 citations), Molecular Biology (400 citations), Oncology (81 citations), Neurology (26 citations) and Epidemiology (50 citations). Mujie Ye has collaborated with scholars based in China, South Korea and Germany. Frequent co-authors include Kuiran Dong, Baihui Liu, Meng Wei, Qiyun Tang, Jian’an Bai, Jinhao Chen, Duan Ma, Jingjing Zhang, Wei Meng and Chunhua Hu. Their work appears in journals such as International Journal of Biological Sciences, Cancer Cell International, Journal of Cancer, Discovery Medicine 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.