Linli Que
Impact in
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- MicroRNA in disease regulation
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- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
Papers in
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- Ubiquitin and proteasome pathways 2
- Heat shock proteins research 2
- Ion channel regulation and function 1
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- Cardiac Fibrosis and Remodeling 5
- Cardiovascular Function and Risk Factors 3
- Co-authors
- Yuehua Li (13 shared papers)Tuanzhu Ha (10 shared papers)Chuanfu Li (11 shared papers)Yong Xu (9 shared papers)Guo‐Qing Zhu (9 shared papers)Qi Chen (7 shared papers)Jiantao Li (4 shared papers)Li Liu (4 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)Journal of Molecular and Cellular Cardiology (2 papers)Journal of Leukocyte Biology (1 paper)Basic Research in Cardiology (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Linli Que
15 papers receiving 319 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 54
- Cardiology and Cardiovascular Medicine 71
- Hematology 33
- Molecular Biology 157
- Immunology 45
Countries citing papers authored by Linli Que
This map shows the geographic impact of Linli Que'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 Linli Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linli Que more than expected).
Fields of papers citing papers by Linli Que
This network shows the impact of papers produced by Linli Que. 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 Linli Que. The network helps show where Linli Que may publish in the future.
Co-authors
The 25 scholars most cited alongside Linli Que, 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 | 2014 | 57 | |
| 2 | 2009 | 44 | |
| 3 | 2020 | 36 | |
| 4 | 2019 | 31 | |
| 5 | 2022 | 31 | |
| 6 | 2014 | 31 | |
| 7 | 2008 | 23 | |
| 8 | 2017 | 17 | |
| 9 | 2023 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2024 | 5 | |
| 13 | 2017 | 5 | |
| 14 | 2016 | 2 | |
| 15 | 2025 | 2 |
About Linli Que
Linli Que is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Epidemiology and Hematology, having authored 15 papers that have together received 320 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (5 papers), Cardiovascular Function and Risk Factors (3 papers), Ubiquitin and proteasome pathways (2 papers), Heat shock proteins research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Erythropoietin and Anemia Treatment (2 papers), NF-κB Signaling Pathways (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cancer Research (54 citations), Cardiology and Cardiovascular Medicine (71 citations), Hematology (33 citations), Molecular Biology (157 citations) and Immunology (45 citations). Linli Que has collaborated with scholars based in China and United States. Frequent co-authors include Yuehua Li, Tuanzhu Ha, Chuanfu Li, Yong Xu, Guo‐Qing Zhu, Qi Chen, Jiantao Li, Li Liu, Chao Tang and Jing Li. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Molecular and Cellular Cardiology, Journal of Leukocyte Biology, Basic Research in Cardiology and The FASEB Journal.
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.