Pintong Huang
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 15
- Biomedical Engineering top 1%
- Ultrasound and Hyperthermia Applications 35
- Nanoplatforms for cancer theranostics 33
- Photoacoustic and Ultrasonic Imaging 16
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- Radiomics and Machine Learning in Medical Imaging 22
- MRI in cancer diagnosis 15
- Hepatology top 5%
- Inorganic Chemistry top 5%
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- Thyroid Cancer Diagnosis and Treatment 26
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- Ultrasound and Cavitation Phenomena 16
- Co-authors
- Qunying LiJifan ChenJing CaoYu SunTao ZhangYurong HongJiali LuoZhuxian Zhou
- Journals
- Journal of the American Chemical Society (1 paper)Advanced Materials (2 papers)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pintong Huang
187 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Biomaterials 756
- Biomedical Engineering 2.0k
- Radiology, Nuclear Medicine and Imaging 608
- Hepatology 187
- Inorganic Chemistry 288
Countries citing papers authored by Pintong Huang
This map shows the geographic impact of Pintong Huang'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 Pintong Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pintong Huang more than expected).
Fields of papers citing papers by Pintong Huang
This network shows the impact of papers produced by Pintong Huang. 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 Pintong Huang. The network helps show where Pintong Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pintong Huang, 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 | 14 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | Lactylation stabilizes TFEB to elevate autophagy and lysosomal activitybreakdown → | 2024 | 44 |
| 6 | 2024 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 49 | |
| 12 | 2022 | 30 | |
| 13 | 2022 | 80 | |
| 14 | 2021 | 33 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 24 | |
| 18 | [Ultrasonic scores of conventional ultrasound and ultrasound elastography in the diagnosis of thyroid nodular lesions]. | 2013 | 6 |
| 19 | 2012 | 1 | |
| 20 | 2010 | 0 |
About Pintong Huang
Pintong Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Endocrinology, Diabetes and Metabolism, having authored 194 papers that have together received 4.0k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (35 papers), Nanoplatforms for cancer theranostics (33 papers), Thyroid Cancer Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Photoacoustic and Ultrasonic Imaging (16 papers), Ultrasound and Cavitation Phenomena (16 papers), MRI in cancer diagnosis (15 papers) and Nanoparticle-Based Drug Delivery (15 papers). The work is most often cited by research in Biomaterials (756 citations), Biomedical Engineering (2.0k citations) and Radiology, Nuclear Medicine and Imaging (608 citations). Pintong Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qunying Li, Jifan Chen, Jing Cao, Yu Sun, Tao Zhang, Yurong Hong, Jiali Luo, Zhuxian Zhou, Weijun Tong and Yiqing Zeng. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and SHILAP Revista de lepidopterología.
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.