Bing Hao
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
- Co-authors
- Haojun Chen (14 shared papers)Long Sun (14 shared papers)Yizhen Pang (10 shared papers)Hua Wu (9 shared papers)Liang Zhao (6 shared papers)Qin Lin (4 shared papers)Zuoming Luo (4 shared papers)Jingxun Wu (3 shared papers)
In The Last Decade
Bing Hao
26 papers receiving 1.2k citations
Bing Hao's Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 636
- Oncology 969
- Surgery 560
- Radiology, Nuclear Medicine and Imaging 275
- Cellular and Molecular Neuroscience 160
Countries citing papers authored by Bing Hao
This map shows the geographic impact of Bing Hao'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 Bing Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Hao more than expected).
Fields of papers citing papers by Bing Hao
This network shows the impact of papers produced by Bing Hao. 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 Bing Hao. The network helps show where Bing Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Hao, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F] FDG PET/CT for the diagnosis of primary and metastatic lesions in patients with various types of cancer Hit paper breakdown → | 2020 | 398 |
| 2 | 2020 | 197 | |
| 3 | 2020 | 172 | |
| 4 | 2020 | 123 | |
| 5 | 2020 | 46 | |
| 6 | 2007 | 42 | |
| 7 | 2016 | 39 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2018 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 1998 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2004 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 6 |
About Bing Hao
Bing Hao is a scholar working on Surgery, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (10 papers), Protease and Inhibitor Mechanisms (9 papers), Cardiac Structural Anomalies and Repair (7 papers), Neuropeptides and Animal Physiology (3 papers), Nanoplatforms for cancer theranostics (2 papers), Medical Imaging Techniques and Applications (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Cancer Research (636 citations), Oncology (969 citations), Surgery (560 citations), Radiology, Nuclear Medicine and Imaging (275 citations) and Cellular and Molecular Neuroscience (160 citations). Bing Hao has collaborated with scholars based in China and Japan. Frequent co-authors include Haojun Chen, Long Sun, Yizhen Pang, Hua Wu, Liang Zhao, Qin Lin, Zuoming Luo, Jingxun Wu, Chengrong Xie and Long Zhao. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Cancer Biomarkers, Medicine, Analytica Chimica Acta and BMC Cancer.
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.