Junyi Ju
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- Epigenetics and DNA Methylation 7
- Cancer-related gene regulation 4
- RNA modifications and cancer 3
- Extracellular vesicles in disease 2
- Genomics and Chromatin Dynamics 2
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- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Quan Zhao (11 shared papers)Liwei An (3 shared papers)Shi Jiao (3 shared papers)Zhaocai Zhou (3 shared papers)Min Nie (6 shared papers)Chi Ma (8 shared papers)Renxiang Tan (6 shared papers)Ming Liu (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Journal of Translational Medicine (1 paper)Aging (1 paper)Oncology Reports (1 paper)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Junyi Ju
15 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 217
- Molecular Biology 441
- Genetics 44
- Immunology 74
- Oncology 95
Countries citing papers authored by Junyi Ju
This map shows the geographic impact of Junyi Ju'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 Junyi Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Ju more than expected).
Fields of papers citing papers by Junyi Ju
This network shows the impact of papers produced by Junyi Ju. 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 Junyi Ju. The network helps show where Junyi Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Ju, 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 | The alanyl-tRNA synthetase AARS1 moonlights as a lactyltransferase to promote YAP signaling in gastric cancer Hit paper breakdown → | 2024 | 148 |
| 2 | 2015 | 86 | |
| 3 | 2021 | 74 | |
| 4 | 2020 | 61 | |
| 5 | 2019 | 43 | |
| 6 | 2018 | 30 | |
| 7 | 2014 | 30 | |
| 8 | 2012 | 24 | |
| 9 | 2015 | 21 | |
| 10 | 2012 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2007 | 11 | |
| 13 | 2024 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 4 |
About Junyi Ju
Junyi Ju is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Cancer Research, having authored 15 papers that have together received 578 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Hemoglobinopathies and Related Disorders (4 papers), Cancer-related gene regulation (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Extracellular vesicles in disease (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (217 citations), Molecular Biology (441 citations), Genetics (44 citations), Immunology (74 citations) and Oncology (95 citations). Junyi Ju has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Quan Zhao, Liwei An, Shi Jiao, Zhaocai Zhou, Min Nie, Chi Ma, Renxiang Tan, Ming Liu, Yi Han and Wenjia Wang. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Journal of Translational Medicine, Aging and Oncology Reports.
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.