Hui Guan
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
- Phytochemicals and Antioxidant Activities
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Angiogenesis and VEGF in Cancer 9
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- Sarcoma Diagnosis and Treatment 10
- Co-authors
- Eugenie S. Kleinerman (15 shared papers)Zhichao Zhou (7 shared papers)Dapeng Li (16 shared papers)Xiaoping Duan (5 shared papers)Shu-Fang Jia (3 shared papers)Feng Li (6 shared papers)Dongxiao Sun‐Waterhouse (9 shared papers)Yang Jiang (7 shared papers)
- Journals
- Clinical Cancer Research (3 papers)Molecular Cancer Research (3 papers)Free Radical Biology and Medicine (2 papers)Journal of Inflammation Research (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Hui Guan
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Biochemistry 86
- Cancer Research 189
- Biochemistry 89
- Molecular Biology 706
- Oncology 253
Countries citing papers authored by Hui Guan
This map shows the geographic impact of Hui Guan'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 Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Guan more than expected).
Fields of papers citing papers by Hui Guan
This network shows the impact of papers produced by Hui Guan. 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 Guan. The network helps show where Hui Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Guan, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 115 | |
| 2 | 2005 | 92 | |
| 3 | 2005 | 91 | |
| 4 | 2016 | 85 | |
| 5 | 1999 | 78 | |
| 6 | 2021 | 63 | |
| 7 | 2008 | 61 | |
| 8 | 2022 | 54 | |
| 9 | 2007 | 54 | |
| 10 | 2009 | 51 | |
| 11 | 2008 | 45 | |
| 12 | 2007 | 42 | |
| 13 | 2006 | 37 | |
| 14 | 2020 | 37 | |
| 15 | E1A gene therapy inhibits angiogenesis in a Ewing's sarcoma animal model. | 2003 | 37 |
| 16 | 2004 | 34 | |
| 17 | 2010 | 31 | |
| 18 | 2021 | 28 | |
| 19 | 1996 | 28 | |
| 20 | 2007 | 27 |
About Hui Guan
Hui Guan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Physiology, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (10 papers), Angiogenesis and VEGF in Cancer (9 papers), Phytochemicals and Antioxidant Activities (5 papers), Vascular Tumors and Angiosarcomas (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Virus-based gene therapy research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Biochemistry (86 citations), Cancer Research (189 citations), Biochemistry (89 citations), Molecular Biology (706 citations) and Oncology (253 citations). Hui Guan has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Eugenie S. Kleinerman, Zhichao Zhou, Dapeng Li, Xiaoping Duan, Shu-Fang Jia, Feng Li, Dongxiao Sun‐Waterhouse, Yang Jiang, Alberto Nasjletti and Ying Cao. Their work appears in journals such as Clinical Cancer Research, Molecular Cancer Research, Free Radical Biology and Medicine, Journal of Inflammation Research and Cancer Research.
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.