Hui Ran
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
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- Advanced Glycation End Products research
Papers in
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- Nanoplatforms for cancer theranostics 5
- Photoacoustic and Ultrasonic Imaging 2
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- Photodynamic Therapy Research Studies 4
- Co-authors
- Ruyuan Deng (3 shared papers)Qi Zhang (3 shared papers)Qing Su (3 shared papers)Qing Su (6 shared papers)Lanlan Liu (5 shared papers)Ai-Qing Ma (5 shared papers)Xuemei Tong (2 shared papers)Ming Feng (1 shared paper)
- Journals
- ACS Nano (2 papers)Frontiers in Pharmacology (1 paper)Nanomaterials (1 paper)Nanoscale (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Hui Ran
17 papers receiving 388 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 85
- Clinical Biochemistry 31
- Condensed Matter Physics 35
- Molecular Biology 161
- Biomedical Engineering 92
Countries citing papers authored by Hui Ran
This map shows the geographic impact of Hui Ran'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 Hui Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Ran more than expected).
Fields of papers citing papers by Hui Ran
This network shows the impact of papers produced by Hui Ran. 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 Hui Ran. The network helps show where Hui Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Ran, 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 | 2018 | 95 | |
| 2 | 2008 | 45 | |
| 3 | 2017 | 42 | |
| 4 | 2022 | 39 | |
| 5 | 2023 | 35 | |
| 6 | 2021 | 32 | |
| 7 | 2017 | 31 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | [A pedigree study of a patient with primary pigmented nodular adrenocortical disease and familial gene mutation]. | 2014 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Hui Ran
Hui Ran is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Molecular Biology, Condensed Matter Physics and Cancer Research, having authored 20 papers that have together received 396 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Photodynamic Therapy Research Studies (4 papers), Micro and Nano Robotics (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Cancer Research and Treatments (2 papers), Advanced Glycation End Products research (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (85 citations), Clinical Biochemistry (31 citations), Condensed Matter Physics (35 citations), Molecular Biology (161 citations) and Biomedical Engineering (92 citations). Hui Ran has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Ruyuan Deng, Qi Zhang, Qing Su, Qing Su, Lanlan Liu, Ai-Qing Ma, Xuemei Tong, Ming Feng, Shuhai Lin and Jie Zhong. Their work appears in journals such as ACS Nano, Frontiers in Pharmacology, Nanomaterials, Nanoscale and Oncotarget.
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.