Jun Su
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Epigenetics and DNA Methylation 3
- Histone Deacetylase Inhibitors Research 3
- Circular RNAs in diseases 2
- Hedgehog Signaling Pathway Studies 2
- Wnt/β-catenin signaling in development and cancer 2
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Haoyu Li (7 shared papers)Xianrui Yuan (5 shared papers)Zijin Zhao (6 shared papers)Yiwei Liao (4 shared papers)Qing Liu (3 shared papers)Ming Wu (3 shared papers)Xiangyu Wang (3 shared papers)Chao Zhang (2 shared papers)
- Journals
- Nature Communications (2 papers)Biochemical and Biophysical Research Communications (1 paper)BioMed Research International (1 paper)Biomarker Research (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Su
21 papers receiving 428 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 89
- Molecular Biology 259
- Geriatrics and Gerontology 11
- Developmental Neuroscience 12
- Genetics 29
Countries citing papers authored by Jun Su
This map shows the geographic impact of Jun Su'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 Jun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Su more than expected).
Fields of papers citing papers by Jun Su
This network shows the impact of papers produced by Jun Su. 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 Jun Su. The network helps show where Jun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Su, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 57 | |
| 2 | 2014 | 47 | |
| 3 | 2018 | 43 | |
| 4 | 2019 | 39 | |
| 5 | 2021 | 35 | |
| 6 | 2014 | 31 | |
| 7 | 2017 | 31 | |
| 8 | 2024 | 27 | |
| 9 | 2017 | 20 | |
| 10 | 2013 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 11 | |
| 14 | 2015 | 10 | |
| 15 | 2017 | 6 | |
| 16 | 2021 | 5 | |
| 17 | [The effect of shRNA targeting hTERT on telomerase and the expression of PCNA and Caspase-3 in nasopharyngeal carcinoma cells]. | 2008 | 4 |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Jun Su
Jun Su is a scholar working on Molecular Biology, Cancer Research, Genetics, Genetics and Immunology, having authored 21 papers that have together received 429 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Glioma Diagnosis and Treatment (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Circular RNAs in diseases (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (89 citations), Molecular Biology (259 citations), Geriatrics and Gerontology (11 citations), Developmental Neuroscience (12 citations) and Genetics (29 citations). Jun Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haoyu Li, Xianrui Yuan, Zijin Zhao, Yiwei Liao, Qing Liu, Qing Liu, Ming Wu, Xiangyu Wang, Chao Zhang and Huan Ren. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications, BioMed Research International, Biomarker Research and International Immunopharmacology.
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.