Hong Bu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Surgery 48
- Tissue Engineering and Regenerative Medicine 22
- Co-authors
- Yujun Shi (48 shared papers)Ji Bao (37 shared papers)Yongjie Zhou (23 shared papers)Yi Li (19 shared papers)Qiong Wu (14 shared papers)Feng Lin (10 shared papers)Yujia Wang (11 shared papers)Li Li (9 shared papers)
- Journals
- Xenotransplantation (5 papers)Scientific Reports (4 papers)Investigative Ophthalmology & Visual Science (3 papers)Journal of Zhejiang University SCIENCE B (3 papers)Histopathology (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Hong Bu
233 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 144
- Cancer Research 898
- Developmental Neuroscience 241
- Genetics 432
- Biomaterials 529
- Hepatology 281
Countries citing papers authored by Hong Bu
This map shows the geographic impact of Hong Bu'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 Hong Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Bu more than expected).
Fields of papers citing papers by Hong Bu
This network shows the impact of papers produced by Hong Bu. 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 Hong Bu. The network helps show where Hong Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong Bu, 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 241 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 462 | |
| 2 | 2017 | 217 | |
| 3 | 2020 | 160 | |
| 4 | 2018 | 127 | |
| 5 | 2009 | 122 | |
| 6 | 2010 | 121 | |
| 7 | 2016 | 120 | |
| 8 | 2013 | 110 | |
| 9 | 2010 | 108 | |
| 10 | 2014 | 105 | |
| 11 | 2002 | 100 | |
| 12 | 2013 | 88 | |
| 13 | 2016 | 86 | |
| 14 | 2015 | 81 | |
| 15 | 2015 | 76 | |
| 16 | 2019 | 71 | |
| 17 | 2021 | 69 | |
| 18 | 2022 | 64 | |
| 19 | 2015 | 63 | |
| 20 | 2010 | 62 |
About Hong Bu
Hong Bu is a scholar working on Molecular Biology, Surgery, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 241 papers that have together received 5.3k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (22 papers), Breast Cancer Treatment Studies (21 papers), AI in cancer detection (15 papers), Liver physiology and pathology (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Bone Tissue Engineering Materials (12 papers), Breast Lesions and Carcinomas (12 papers) and HER2/EGFR in Cancer Research (11 papers). The work is most often cited by research in Cancer Research (898 citations), Developmental Neuroscience (241 citations), Genetics (432 citations), Biomaterials (529 citations) and Hepatology (281 citations). Hong Bu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yujun Shi, Ji Bao, Yongjie Zhou, Yi Li, Qiong Wu, Feng Lin, Yujia Wang, Li Li, Zhidan Tu and Bing Wei. Their work appears in journals such as Xenotransplantation, Scientific Reports, Investigative Ophthalmology & Visual Science, Journal of Zhejiang University SCIENCE B and Histopathology.
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.