Shaochen Guan
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
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- Blood Pressure and Hypertension Studies 9
- Cardiovascular Health and Disease Prevention 8
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- Cerebrovascular and Carotid Artery Diseases 6
- Co-authors
- Xianghua Fang (25 shared papers)Xiaoguang Wu (15 shared papers)Zhe Tang (16 shared papers)Chunxiu Wang (16 shared papers)Xiang Gu (14 shared papers)Hongqi Zhang (2 shared papers)Piu Chan (3 shared papers)Zhongying Zhang (14 shared papers)
In The Last Decade
Shaochen Guan
31 papers receiving 597 citations
Peers
Comparison fields: 5 of 86
- Geriatrics and Gerontology 95
- Nephrology 79
- Neurology 116
- Physiology 152
- Cardiology and Cardiovascular Medicine 133
Countries citing papers authored by Shaochen Guan
This map shows the geographic impact of Shaochen 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 Shaochen Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaochen Guan more than expected).
Fields of papers citing papers by Shaochen Guan
This network shows the impact of papers produced by Shaochen 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 Shaochen Guan. The network helps show where Shaochen Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaochen 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2016 | 76 | |
| 3 | 2019 | 74 | |
| 4 | 2016 | 34 | |
| 5 | 2017 | 33 | |
| 6 | 2011 | 30 | |
| 7 | 2016 | 30 | |
| 8 | 2013 | 30 | |
| 9 | 2016 | 28 | |
| 10 | 2016 | 20 | |
| 11 | 2019 | 16 | |
| 12 | 2020 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2020 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2011 | 7 |
About Shaochen Guan
Shaochen Guan is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Rheumatology, Epidemiology and Physiology, having authored 32 papers that have together received 605 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Cardiovascular Health and Disease Prevention (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Nutritional Studies and Diet (3 papers), Acute Ischemic Stroke Management (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Geriatrics and Gerontology (95 citations), Nephrology (79 citations), Neurology (116 citations), Physiology (152 citations) and Cardiology and Cardiovascular Medicine (133 citations). Shaochen Guan has collaborated with scholars based in China, Bulgaria and Hong Kong. Frequent co-authors include Xianghua Fang, Xiaoguang Wu, Zhe Tang, Chunxiu Wang, Xiang Gu, Hongqi Zhang, Piu Chan, Zhongying Zhang, Dandan Wang and Qi Yang. Their work appears in journals such as Archives of Gerontology and Geriatrics, Journal of Clinical Hypertension, Neuroradiology, Obesity Facts and Aging.
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.