Hao Hu
Impact in
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- Ophthalmology and Eye Disorders
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Ophthalmology and Eye Disorders 26
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- MRI in cancer diagnosis 9
- Advanced Neuroimaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Xiao‐Quan Xu (66 shared papers)Guo-Yi Su (27 shared papers)Fei‐Yun Wu (30 shared papers)Huanhuan Chen (32 shared papers)Fei‐Yun Wu (25 shared papers)Hai‐Bin Shi (17 shared papers)Qian Wu (23 shared papers)Lu Chen (19 shared papers)
- Journals
- Acta Radiologica (7 papers)European Radiology (5 papers)Korean Journal of Radiology (5 papers)Medicine (4 papers)Journal of Magnetic Resonance Imaging (4 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Hao Hu
108 papers receiving 1.9k citations
Hao Hu's Hit Papers
Peers
Comparison fields: 5 of 106
- Pathology and Forensic Medicine 406
- Hepatology 152
- Cancer Research 143
- Radiology, Nuclear Medicine and Imaging 207
- Otorhinolaryngology 39
Countries citing papers authored by Hao Hu
This map shows the geographic impact of Hao 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 Hao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Hu more than expected).
Fields of papers citing papers by Hao Hu
This network shows the impact of papers produced by Hao 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 Hao Hu. The network helps show where Hao Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human organoids in basic research and clinical applications Hit paper breakdown → | 2022 | 311 |
| 2 | 2018 | 73 | |
| 3 | 2020 | 65 | |
| 4 | 2012 | 57 | |
| 5 | 2014 | 57 | |
| 6 | 2016 | 44 | |
| 7 | 2016 | 42 | |
| 8 | 2021 | 41 | |
| 9 | 2018 | 39 | |
| 10 | 2016 | 35 | |
| 11 | 2014 | 33 | |
| 12 | 2020 | 32 | |
| 13 | 2018 | 31 | |
| 14 | 2018 | 31 | |
| 15 | 2018 | 31 | |
| 16 | 2017 | 29 | |
| 17 | 2017 | 28 | |
| 18 | 2020 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2023 | 27 |
About Hao Hu
Hao Hu is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Hepatology, having authored 115 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (26 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers), MRI in cancer diagnosis (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Functional Brain Connectivity Studies (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (406 citations), Hepatology (152 citations), Cancer Research (143 citations), Radiology, Nuclear Medicine and Imaging (207 citations) and Otorhinolaryngology (39 citations). Hao Hu has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiao‐Quan Xu, Guo-Yi Su, Fei‐Yun Wu, Huanhuan Chen, Fei‐Yun Wu, Hai‐Bin Shi, Qian Wu, Lu Chen, Wen Chen and Hu Liu. Their work appears in journals such as Acta Radiologica, European Radiology, Korean Journal of Radiology, Medicine and Journal of Magnetic Resonance Imaging.
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.