Jun Shao
Impact in
- Periodontics top 5%
- Oral microbiology and periodontitis research
- Dental Health and Care Utilization
- Oral Health Pathology and Treatment
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- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 2
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- Oral microbiology and periodontitis research 4
- Oral Health Pathology and Treatment 3
- Co-authors
- Yiyao Wang (1 shared paper)En Luo (1 shared paper)Hanghang Liu (1 shared paper)Xian Liu (1 shared paper)Xian‐Tao Zeng (4 shared papers)Wei‐Dong Leng (2 shared papers)Lan Wu (2 shared papers)Huan Song (2 shared papers)
- Journals
- BioMed Research International (2 papers)International Journal of Infectious Diseases (1 paper)Disease Markers (1 paper)Frontiers in Physiology (1 paper)Risk Management and Healthcare Policy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Shao
31 papers receiving 413 citations
Peers
Comparison fields: 5 of 90
- Periodontics 80
- Cancer Research 57
- General Dentistry 3
- Molecular Biology 118
- Epidemiology 52
Countries citing papers authored by Jun Shao
This map shows the geographic impact of Jun Shao'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 Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shao more than expected).
Fields of papers citing papers by Jun Shao
This network shows the impact of papers produced by Jun Shao. 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 Shao. The network helps show where Jun Shao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shao, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 97 | |
| 2 | 2018 | 40 | |
| 3 | 2018 | 39 | |
| 4 | 2022 | 31 | |
| 5 | 2020 | 26 | |
| 6 | 2017 | 22 | |
| 7 | 2019 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 16 | |
| 10 | 2024 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2015 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2015 | 7 | |
| 18 | [Study of erythromycin and metoclopramide in treatment of feeding intolerance of critically ill patients in intensive care unit]. | 2010 | 6 |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Jun Shao
Jun Shao is a scholar working on Molecular Biology, Periodontics, Oncology, Surgery and Epidemiology, having authored 31 papers that have together received 424 indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (4 papers), Oral Health Pathology and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Head and Neck Cancer Studies (2 papers), Viral-associated cancers and disorders (2 papers), COVID-19 diagnosis using AI (2 papers), Tuberculosis Research and Epidemiology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Periodontics (80 citations), Cancer Research (57 citations), General Dentistry (3 citations), Molecular Biology (118 citations) and Epidemiology (52 citations). Jun Shao has collaborated with scholars based in China and United States. Frequent co-authors include Yiyao Wang, En Luo, Hanghang Liu, Xian Liu, Xian‐Tao Zeng, Wei‐Dong Leng, Lan Wu, Huan Song, Jianming Wang and Ruiqiang Zheng. Their work appears in journals such as BioMed Research International, International Journal of Infectious Diseases, Disease Markers, Frontiers in Physiology and Risk Management and Healthcare Policy.
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.