June Bai
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Pulmonary Hypertension Research and Treatments
Papers in
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- Circular RNAs in diseases 8
- RNA modifications and cancer 6
- Inflammasome and immune disorders 3
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Siyu He (9 shared papers)Cui Ma (11 shared papers)Xiaoying Wang (8 shared papers)Lixin Zhang (11 shared papers)Daling Zhu (8 shared papers)Xin Wei (4 shared papers)Yuan Jiang (4 shared papers)Jian Mei (4 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)The FASEB Journal (2 papers)European Journal of Pharmacology (2 papers)iScience (1 paper)Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
June Bai
14 papers receiving 288 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 128
- Pulmonary and Respiratory Medicine 121
- Molecular Biology 213
- Nephrology 17
- Immunology 24
Countries citing papers authored by June Bai
This map shows the geographic impact of June Bai'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 June Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites June Bai more than expected).
Fields of papers citing papers by June Bai
This network shows the impact of papers produced by June Bai. 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 June Bai. The network helps show where June Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside June Bai, 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 | 2022 | 57 | |
| 2 | 2020 | 48 | |
| 3 | 2019 | 39 | |
| 4 | 2022 | 30 | |
| 5 | 2019 | 28 | |
| 6 | 2023 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 16 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About June Bai
June Bai is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 16 papers that have together received 290 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (9 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Inflammasome and immune disorders (3 papers), Autophagy in Disease and Therapy (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Cancer Research (128 citations), Pulmonary and Respiratory Medicine (121 citations), Molecular Biology (213 citations), Nephrology (17 citations) and Immunology (24 citations). June Bai has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Siyu He, Cui Ma, Xiaoying Wang, Lixin Zhang, Daling Zhu, Xin Wei, Yuan Jiang, Jian Mei, Xiaoyu Guan and Yiying Li. Their work appears in journals such as International Journal of Biological Macromolecules, The FASEB Journal, European Journal of Pharmacology, iScience and Molecular Medicine.
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.