Junxiu Sheng
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- Cancer-related gene regulation
Papers in
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- RNA modifications and cancer 4
- RNA Research and Splicing 2
- Single-cell and spatial transcriptomics 1
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- Wenjing Zhang (3 shared papers)Jinyao Zhao (3 shared papers)Yangfan Qi (2 shared papers)Yang Wang (2 shared papers)Jinrui Zhang (2 shared papers)Daniel Domínguez (1 shared paper)Quentin Liu (1 shared paper)Xiaoling Li (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Genetics Research (1 paper)Scientific Reports (1 paper)Cell Death and Disease (1 paper)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junxiu Sheng
8 papers receiving 126 citations
Peers
Comparison fields: 5 of 47
- Cancer Research 39
- Molecular Biology 94
- Genetics 9
- Immunology 14
- Pulmonary and Respiratory Medicine 19
Countries citing papers authored by Junxiu Sheng
This map shows the geographic impact of Junxiu Sheng'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 Junxiu Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxiu Sheng more than expected).
Fields of papers citing papers by Junxiu Sheng
This network shows the impact of papers produced by Junxiu Sheng. 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 Junxiu Sheng. The network helps show where Junxiu Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxiu Sheng, 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 | 2021 | 80 | |
| 2 | 2017 | 14 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 0 |
About Junxiu Sheng
Junxiu Sheng is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 9 papers that have together received 128 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), Glioma Diagnosis and Treatment (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced Radiotherapy Techniques (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Cancer Research (39 citations), Molecular Biology (94 citations), Genetics (9 citations), Immunology (14 citations) and Pulmonary and Respiratory Medicine (19 citations). Junxiu Sheng has collaborated with scholars based in China and United States. Frequent co-authors include Wenjing Zhang, Jinyao Zhao, Yangfan Qi, Yang Wang, Jinrui Zhang, Daniel Domínguez, Quentin Liu, Xiaoling Li, Han Liu and Chaoqun Chen. Their work appears in journals such as Frontiers in Oncology, Genetics Research, Scientific Reports, Cell Death and Disease and Signal Transduction and Targeted Therapy.
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.