Liying Chen
Impact in
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
- Acute Kidney Injury Research
Papers in
- Co-authors
- Lizheng Fang (12 shared papers)Honglei Dai (6 shared papers)Jawahar L. Mehta (5 shared papers)Wenhua Zhu (8 shared papers)Tom Saldeen (3 shared papers)Feifei Huang (2 shared papers)Bing Pan (1 shared paper)Engeng Chen (1 shared paper)
- Journals
- Journal of Zhejiang University SCIENCE B (6 papers)Medicine (4 papers)Blood (3 papers)Journal of the American College of Cardiology (3 papers)Neurobiology of Disease (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liying Chen
146 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 180
- Nephrology 248
- Endocrinology, Diabetes and Metabolism 268
- Cardiology and Cardiovascular Medicine 299
- Cellular and Molecular Neuroscience 216
- Epidemiology 406
Countries citing papers authored by Liying Chen
This map shows the geographic impact of Liying Chen'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 Liying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liying Chen more than expected).
Fields of papers citing papers by Liying Chen
This network shows the impact of papers produced by Liying Chen. 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 Liying Chen. The network helps show where Liying Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Liying Chen, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 207 | |
| 2 | 2008 | 187 | |
| 3 | 1997 | 177 | |
| 4 | 2017 | 164 | |
| 5 | 2012 | 148 | |
| 6 | 2010 | 141 | |
| 7 | 2007 | 138 | |
| 8 | 2021 | 99 | |
| 9 | 2017 | 95 | |
| 10 | 2008 | 87 | |
| 11 | 1994 | 86 | |
| 12 | 2020 | 85 | |
| 13 | 2019 | 69 | |
| 14 | 2021 | 65 | |
| 15 | 1997 | 53 | |
| 16 | 2021 | 52 | |
| 17 | 2003 | 51 | |
| 18 | 2018 | 50 | |
| 19 | 1998 | 46 | |
| 20 | 2020 | 45 |
About Liying Chen
Liying Chen is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Molecular Biology, having authored 161 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Neonatal and fetal brain pathology (6 papers), Mobile Health and mHealth Applications (5 papers), Diabetes Treatment and Management (5 papers), Photoreceptor and optogenetics research (5 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Nephrology (248 citations), Endocrinology, Diabetes and Metabolism (268 citations), Cardiology and Cardiovascular Medicine (299 citations), Cellular and Molecular Neuroscience (216 citations) and Epidemiology (406 citations). Liying Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lizheng Fang, Honglei Dai, Jawahar L. Mehta, Wenhua Zhu, Tom Saldeen, Feifei Huang, Bing Pan, Engeng Chen, Jun Wu and W. Herbert Haught. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, Medicine, Blood, Journal of the American College of Cardiology and Neurobiology of 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.