Shaochen Guan
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Cardiovascular Health and Disease Prevention 5
- Blood Pressure and Hypertension Studies 2
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- Dementia and Cognitive Impairment Research 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)Zhongying Zhang (14 shared papers)Hongqi Zhang (2 shared papers)Piu Chan (3 shared papers)
In The Last Decade
Shaochen Guan
32 papers receiving 654 citations
Peers
Comparison fields: 5 of 65
- Geriatrics and Gerontology 90
- Nephrology 82
- Neurology 104
- Endocrinology, Diabetes and Metabolism 90
- Cardiology and Cardiovascular Medicine 95
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2016 | 79 | |
| 3 | 2019 | 79 | |
| 4 | 2017 | 36 | |
| 5 | 2016 | 35 | |
| 6 | 2011 | 33 | |
| 7 | 2016 | 31 | |
| 8 | 2013 | 30 | |
| 9 | 2016 | 29 | |
| 10 | 2016 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2019 | 17 | |
| 13 | 2017 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2019 | 9 |
About Shaochen Guan
Shaochen Guan is a scholar working on Cardiology and Cardiovascular Medicine, Psychiatry and Mental health, Nephrology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 670 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Cardiovascular Health and Disease Prevention (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Folate and B Vitamins Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Alzheimer's disease research and treatments (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (90 citations), Nephrology (82 citations), Neurology (104 citations), Endocrinology, Diabetes and Metabolism (90 citations) and Cardiology and Cardiovascular Medicine (95 citations). Shaochen Guan has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Xianghua Fang, Xiaoguang Wu, Zhe Tang, Chunxiu Wang, Xiang Gu, Zhongying Zhang, Hongqi Zhang, Piu Chan, Peng Hu and Qi Yang. Their work appears in journals such as Archives of Gerontology and Geriatrics, Journal of Clinical Hypertension, Journal of the American Geriatrics Society, The journal of nutrition health & aging and Journal of Alzheimer s Disease.
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.