Jun Rao
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- Connexins and lens biology 3
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- Cancer, Lipids, and Metabolism 6
- Cancer-related molecular mechanisms research 3
- Co-authors
- Yinghong Ji (4 shared papers)Xianfang Rong (4 shared papers)Yi Lü (2 shared papers)Zhi Zheng (6 shared papers)Fangfang Tou (8 shared papers)Lei Cai (2 shared papers)Zhi Zheng (4 shared papers)Yi Lü (1 shared paper)
- Journals
- Cellular Physiology and Biochemistry (3 papers)Frontiers in Immunology (2 papers)Journal of Chromatography B (2 papers)Journal of Proteome Research (2 papers)Journal of Oncology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Rao
38 papers receiving 758 citations
Peers
Comparison fields: 5 of 97
- Ophthalmology 67
- Cancer Research 101
- Molecular Biology 358
- Immunology 76
- Clinical Biochemistry 24
Countries citing papers authored by Jun Rao
This map shows the geographic impact of Jun Rao'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 Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Rao more than expected).
Fields of papers citing papers by Jun Rao
This network shows the impact of papers produced by Jun Rao. 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 Rao. The network helps show where Jun Rao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Rao, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 73 | |
| 2 | 2017 | 66 | |
| 3 | 2016 | 59 | |
| 4 | 2019 | 48 | |
| 5 | 2017 | 48 | |
| 6 | 2019 | 44 | |
| 7 | 2012 | 38 | |
| 8 | 2021 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2020 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2021 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2021 | 20 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2015 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2018 | 11 |
About Jun Rao
Jun Rao is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 40 papers that have together received 761 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Ferroptosis and cancer prognosis (4 papers), Connexins and lens biology (3 papers), Cancer-related molecular mechanisms research (3 papers), interferon and immune responses (2 papers), GABA and Rice Research (2 papers) and Rice Cultivation and Yield Improvement (2 papers). The work is most often cited by research in Ophthalmology (67 citations), Cancer Research (101 citations), Molecular Biology (358 citations), Immunology (76 citations) and Clinical Biochemistry (24 citations). Jun Rao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yinghong Ji, Xianfang Rong, Yi Lü, Zhi Zheng, Fangfang Tou, Lei Cai, Zhi Zheng, Yi Lü, Qiang Shen and Hongfei Ye. Their work appears in journals such as Cellular Physiology and Biochemistry, Frontiers in Immunology, Journal of Chromatography B, Journal of Proteome Research and Journal of Oncology.
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.