Jin Liu
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Gout, Hyperuricemia, Uric Acid
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- Hyperglycemia and glycemic control in critically ill and hospitalized patients
Papers in
- Nephrology 48
- Acute Kidney Injury Research 43
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Co-authors
- Shiqun Chen (60 shared papers)Yong Liu (65 shared papers)Jianjun Chen (11 shared papers)Yibo He (36 shared papers)Jiyan Chen (41 shared papers)Yichang Ren (7 shared papers)Haozhang Huang (26 shared papers)Ning Tan (27 shared papers)
- Journals
- Frontiers in Cardiovascular Medicine (11 papers)BMC Cardiovascular Disorders (6 papers)Annals of Translational Medicine (5 papers)European Journal of Medicinal Chemistry (4 papers)BMJ Open (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jin Liu
107 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Nephrology 406
- Endocrinology, Diabetes and Metabolism 230
- Cardiology and Cardiovascular Medicine 204
- Molecular Biology 272
- Oncology 95
Countries citing papers authored by Jin Liu
This map shows the geographic impact of Jin Liu'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 Jin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Liu more than expected).
Fields of papers citing papers by Jin Liu
This network shows the impact of papers produced by Jin Liu. 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 Jin Liu. The network helps show where Jin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Liu, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 102 | |
| 2 | 2022 | 87 | |
| 3 | 2020 | 65 | |
| 4 | 2011 | 61 | |
| 5 | 2019 | 53 | |
| 6 | 2018 | 52 | |
| 7 | 2021 | 49 | |
| 8 | 2021 | 43 | |
| 9 | 2022 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2014 | 36 | |
| 12 | 2022 | 36 | |
| 13 | 2021 | 32 | |
| 14 | 2021 | 30 | |
| 15 | 2018 | 28 | |
| 16 | 2021 | 28 | |
| 17 | 2022 | 27 | |
| 18 | 2022 | 26 | |
| 19 | 2019 | 23 | |
| 20 | 2019 | 19 |
About Jin Liu
Jin Liu is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery and Organic Chemistry, having authored 114 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (43 papers), Synthesis and biological activity (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Acute Myocardial Infarction Research (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Heart Failure Treatment and Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Nutrition and Health in Aging (4 papers). The work is most often cited by research in Nephrology (406 citations), Endocrinology, Diabetes and Metabolism (230 citations), Cardiology and Cardiovascular Medicine (204 citations), Molecular Biology (272 citations) and Oncology (95 citations). Jin Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shiqun Chen, Yong Liu, Jianjun Chen, Yibo He, Jiyan Chen, Yichang Ren, Haozhang Huang, Ning Tan, Qiang Li and Guoli Sun. Their work appears in journals such as Frontiers in Cardiovascular Medicine, BMC Cardiovascular Disorders, Annals of Translational Medicine, European Journal of Medicinal Chemistry and BMJ Open.
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.