Jun Su
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Genetics 24
- Glioma Diagnosis and Treatment 23
- Epidemiology 10
- Meningioma and schwannoma management 8
- Co-authors
- Haoyu Li (12 shared papers)Xianrui Yuan (11 shared papers)Qing Liu (11 shared papers)Yiwei Liao (6 shared papers)Chi Zhang (4 shared papers)Huan Ren (5 shared papers)Jian Yuan (11 shared papers)Kai Xiao (7 shared papers)
- Journals
- Frontiers in Oncology (5 papers)Cancer Cell International (3 papers)Journal of Cellular and Molecular Medicine (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Jun Su
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Genetics 249
- Cancer Research 113
- Nephrology 59
- Molecular Biology 301
- Oncology 103
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2021 | 60 | |
| 3 | 2016 | 59 | |
| 4 | 2015 | 51 | |
| 5 | 2015 | 50 | |
| 6 | 2014 | 46 | |
| 7 | 2018 | 44 | |
| 8 | 2019 | 41 | |
| 9 | 2021 | 40 | |
| 10 | 2012 | 38 | |
| 11 | 2014 | 31 | |
| 12 | 2014 | 31 | |
| 13 | 2017 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2019 | 28 | |
| 16 | 2020 | 26 | |
| 17 | 2018 | 24 | |
| 18 | 2019 | 21 | |
| 19 | 2013 | 20 | |
| 20 | 2017 | 20 |
About Jun Su
Jun Su is a scholar working on Genetics, Epidemiology, Cancer Research, Molecular Biology and Nephrology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Meningioma and schwannoma management (8 papers), Chronic Kidney Disease and Diabetes (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Renal Diseases and Glomerulopathies (3 papers), Mitochondrial Function and Pathology (2 papers), MicroRNA in disease regulation (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Genetics (249 citations), Cancer Research (113 citations), Nephrology (59 citations), Molecular Biology (301 citations) and Oncology (103 citations). Jun Su has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Haoyu Li, Xianrui Yuan, Qing Liu, Yiwei Liao, Chi Zhang, Huan Ren, Jian Yuan, Kai Xiao, Chaoying Qin and Qing Liu. Their work appears in journals such as Frontiers in Oncology, Cancer Cell International, Journal of Cellular and Molecular Medicine, International Journal of Radiation Oncology*Biology*Physics and OncoTargets and 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.