Jieli Li
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Function and Risk Factors
- Molecular Medicine top 10%
Papers in
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- Congenital heart defects research 4
- Signaling Pathways in Disease 3
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- Cardiomyopathy and Myosin Studies 5
- Cardiovascular Function and Risk Factors 4
- Cardiac Fibrosis and Remodeling 3
- Co-authors
- Brenda Russell (9 shared papers)Guang Liang (5 shared papers)Jianchang Qian (2 shared papers)Weiwei Zhu (2 shared papers)Wu Luo (2 shared papers)Yiyi Jin (2 shared papers)Yuanyuan Qian (2 shared papers)Li Li (1 shared paper)
- Journals
- Clinica Chimica Acta (3 papers)The FASEB Journal (2 papers)Developmental Biology (2 papers)American Journal of Clinical Pathology (2 papers)Clinical Chemistry (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jieli Li
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 284
- Molecular Medicine 54
- Cell Biology 154
- Biochemistry 55
- Endocrinology, Diabetes and Metabolism 130
Countries citing papers authored by Jieli Li
This map shows the geographic impact of Jieli Li'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 Jieli Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jieli Li more than expected).
Fields of papers citing papers by Jieli Li
This network shows the impact of papers produced by Jieli Li. 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 Jieli Li. The network helps show where Jieli Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jieli Li, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 208 | |
| 2 | 2011 | 99 | |
| 3 | 2018 | 86 | |
| 4 | 2017 | 72 | |
| 5 | 2011 | 72 | |
| 6 | 2017 | 72 | |
| 7 | 2018 | 53 | |
| 8 | 2017 | 51 | |
| 9 | 2013 | 40 | |
| 10 | 2013 | 40 | |
| 11 | 2011 | 39 | |
| 12 | 2018 | 38 | |
| 13 | 2016 | 35 | |
| 14 | 2020 | 31 | |
| 15 | 2019 | 29 | |
| 16 | 2014 | 28 | |
| 17 | 2016 | 28 | |
| 18 | 2013 | 27 | |
| 19 | 2013 | 26 | |
| 20 | 2016 | 24 |
About Jieli Li
Jieli Li is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), Cardiomyopathy and Myosin Studies (5 papers), Congenital heart defects research (4 papers), Hormonal Regulation and Hypertension (4 papers), Cardiovascular Function and Risk Factors (4 papers), Signaling Pathways in Disease (3 papers), Cardiac Fibrosis and Remodeling (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (284 citations), Molecular Medicine (54 citations), Cell Biology (154 citations), Biochemistry (55 citations) and Endocrinology, Diabetes and Metabolism (130 citations). Jieli Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Brenda Russell, Guang Liang, Jianchang Qian, Weiwei Zhu, Wu Luo, Yiyi Jin, Yuanyuan Qian, Li Li, Xuzhong Xu and Qing H. Meng. Their work appears in journals such as Clinica Chimica Acta, The FASEB Journal, Developmental Biology, American Journal of Clinical Pathology and Clinical Chemistry.
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.