Kun Lian
- Biochemistry top 1%
- Physiology top 2%
- Adipose Tissue and Metabolism 12
- Spectroscopy top 5%
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research 5
- Molecular Biology top 10%
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- Adipokines, Inflammation, and Metabolic Diseases 11
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- Coronary Interventions and Diagnostics 5
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- Cardiac Imaging and Diagnostics 4
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- Cardiac Ischemia and Reperfusion 4
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- Cardiovascular Disease and Adiposity 3
- Cardiovascular Function and Risk Factors 3
- Co-authors
- Ling TaoOleksandr RusinFareed DawanIsiah M. WarnerJorge O. EscobedoRobert M. StronginShan JiangWenjun Yan
- Cited by
- BiochemistryPhysiologySpectroscopy
- Journals
- Basic Research in Cardiology (3 papers)Diabetes (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kun Lian
40 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 106
- Biochemistry 444
- Physiology 784
- Spectroscopy 323
- Clinical Biochemistry 119
- Molecular Biology 1.2k
Countries citing papers authored by Kun Lian
This map shows the geographic impact of Kun Lian'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 Kun Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Lian more than expected).
Fields of papers citing papers by Kun Lian
This network shows the impact of papers produced by Kun Lian. 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 Kun Lian. The network helps show where Kun Lian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Lian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2020 | 89 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 3 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 145 | |
| 13 | 2016 | 18 | |
| 14 | 2015 | 206 | |
| 15 | 2014 | 274 | |
| 16 | 2012 | 27 | |
| 17 | 2011 | 12 | |
| 18 | 2011 | 32 | |
| 19 | 2010 | 41 | |
| 20 | 2004 | 24 |
About Kun Lian
Kun Lian is a scholar working on Clinical Biochemistry, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Coronary Interventions and Diagnostics (5 papers), Advanced Glycation End Products research (5 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Biochemistry (444 citations), Physiology (784 citations) and Spectroscopy (323 citations). Kun Lian has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ling Tao, Oleksandr Rusin, Fareed Dawan, Isiah M. Warner, Jorge O. Escobedo, Robert M. Strongin, Shan Jiang, Wenjun Yan, Chao Xin and Di Zhu. Their work appears in journals such as Basic Research in Cardiology, Diabetes, Frontiers in Immunology, BMC Cardiovascular Disorders and American Journal of Physiology-Endocrinology and Metabolism.
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.