Xiaohui Zhan
Impact in
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- Cancer Genomics and Diagnostics
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
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- Advanced biosensing and bioanalysis techniques 9
- CRISPR and Genetic Engineering 5
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- Cancer Genomics and Diagnostics 7
- Co-authors
- Fang Lan (15 shared papers)Yao Wu (15 shared papers)Kun Huang (12 shared papers)Jie Zhang (10 shared papers)Zhi Han (7 shared papers)Zhi Huang (7 shared papers)Bryan R. Helm (7 shared papers)Zhongwei Gu (7 shared papers)
- Journals
- Nanoscale (2 papers)BMC Medical Genomics (2 papers)Journal of Colloid and Interface Science (2 papers)RSC Advances (2 papers)ACS Nano (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaohui Zhan
43 papers receiving 851 citations
Peers
Comparison fields: 5 of 112
- Cancer Research 142
- Biomaterials 109
- Molecular Biology 450
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 128
Countries citing papers authored by Xiaohui Zhan
This map shows the geographic impact of Xiaohui Zhan'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 Xiaohui Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Zhan more than expected).
Fields of papers citing papers by Xiaohui Zhan
This network shows the impact of papers produced by Xiaohui Zhan. 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 Xiaohui Zhan. The network helps show where Xiaohui Zhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Zhan, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 170 | |
| 2 | 2017 | 107 | |
| 3 | 2021 | 75 | |
| 4 | 2020 | 59 | |
| 5 | 2021 | 53 | |
| 6 | 2021 | 49 | |
| 7 | 2023 | 40 | |
| 8 | 2016 | 29 | |
| 9 | 2023 | 26 | |
| 10 | 2017 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 2016 | 21 | |
| 13 | 2023 | 18 | |
| 14 | 2024 | 18 | |
| 15 | 2024 | 16 | |
| 16 | 2017 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2023 | 8 |
About Xiaohui Zhan
Xiaohui Zhan is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 864 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Cancer Genomics and Diagnostics (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers), Nanoparticle-Based Drug Delivery (5 papers), CRISPR and Genetic Engineering (5 papers), Biosensors and Analytical Detection (5 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Cancer Research (142 citations), Biomaterials (109 citations), Molecular Biology (450 citations), Health Informatics (8 citations) and Radiology, Nuclear Medicine and Imaging (128 citations). Xiaohui Zhan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fang Lan, Yao Wu, Kun Huang, Jie Zhang, Zhi Han, Zhi Huang, Bryan R. Helm, Zhongwei Gu, Christina Y. Yu and Travis S. Johnson. Their work appears in journals such as Nanoscale, BMC Medical Genomics, Journal of Colloid and Interface Science, RSC Advances and ACS Nano.
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.