Baoli Hu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
- Genetics 8
- Virus-based gene therapy research 7
- Glioma Diagnosis and Treatment 7
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Daniele M. GilkesJiandong ChenBilal FarooqiSaı̈d M. SebtiHaitao WeiHaifeng ZhangLi LiFeng Zhang
- Journals
- Cancer Biology & Therapy (4 papers)Cancer Research (2 papers)Artificial Cells Nanomedicine and Biotechnology (2 papers)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Baoli Hu
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Cancer Research 328
- Oncology 369
- Molecular Biology 774
- Biotechnology 89
- Genetics 90
Countries citing papers authored by Baoli Hu
This map shows the geographic impact of Baoli Hu'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 Baoli Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoli Hu more than expected).
Fields of papers citing papers by Baoli Hu
This network shows the impact of papers produced by Baoli Hu. 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 Baoli Hu. The network helps show where Baoli Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Baoli Hu, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 2 | |
| 11 | 2018 | 9 | |
| 12 | 2017 | 41 | |
| 13 | 2016 | 74 | |
| 14 | 2007 | 7 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 8 | |
| 17 | 2006 | 190 | |
| 18 | 2004 | 23 | |
| 19 | 2004 | 3 | |
| 20 | [Research on the anticarcinogenic activation of Acorus calcamus. Anticarcinogenic activation of alpha-asarone on human carcinoma cells]. | 1986 | 4 |
About Baoli Hu
Baoli Hu is a scholar working on Genetics, Cancer Research, Immunology, Molecular Biology and Genetics, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Glioma Diagnosis and Treatment (7 papers), Immune cells in cancer (6 papers), RNA Interference and Gene Delivery (5 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Cancer Research (328 citations), Oncology (369 citations), Molecular Biology (774 citations), Biotechnology (89 citations) and Genetics (90 citations). Baoli Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daniele M. Gilkes, Jiandong Chen, Bilal Farooqi, Saı̈d M. Sebti, Haitao Wei, Haifeng Zhang, Li Li, Feng Zhang, Jian Hu and Ronald A. DePinho. Their work appears in journals such as Cancer Biology & Therapy, Cancer Research, Artificial Cells Nanomedicine and Biotechnology, Scientific Reports and Frontiers in Immunology.
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.