Dan Shi
Impact in
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- RNA modifications and cancer
- RNA Research and Splicing
- Mitochondrial Function and Pathology
- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
- ATP Synthase and ATPases Research
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Cardiac electrophysiology and arrhythmias 5
- Cardiomyopathy and Myosin Studies 4
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- Mitochondrial Function and Pathology 5
- Ion channel regulation and function 5
- Plant Gene Expression Analysis 4
- Pluripotent Stem Cells Research 4
- Congenital heart defects research 3
- Plant biochemistry and biosynthesis 3
- Co-authors
- Zhi‐Liang JiQuan ZouMei‐Chun CaiJianbo PanYihan ChenDuanyang XieLiang XuJian Huang
- Journals
- Nature Communications (2 papers)Journal of the American Heart Association (2 papers)BMC Plant Biology (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Dan Shi
33 papers receiving 529 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 377
- Cardiology and Cardiovascular Medicine 111
- Cancer Research 73
- Biochemistry 21
- Orthopedics and Sports Medicine 22
Countries citing papers authored by Dan Shi
This map shows the geographic impact of Dan Shi'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 Dan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shi more than expected).
Fields of papers citing papers by Dan Shi
This network shows the impact of papers produced by Dan Shi. 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 Dan Shi. The network helps show where Dan Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Shi, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2014 | 34 | |
| 17 | 2014 | 39 | |
| 18 | 2013 | 14 | |
| 19 | 2013 | 108 | |
| 20 | 2009 | 20 |
About Dan Shi
Dan Shi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Biochemistry, Critical Care and Intensive Care Medicine and Nephrology, having authored 37 papers that have together received 539 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (5 papers), Plant Gene Expression Analysis (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Pluripotent Stem Cells Research (4 papers), Congenital heart defects research (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Molecular Biology (377 citations), Cardiology and Cardiovascular Medicine (111 citations), Cancer Research (73 citations), Biochemistry (21 citations) and Orthopedics and Sports Medicine (22 citations). Dan Shi has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhi‐Liang Ji, Quan Zou, Mei‐Chun Cai, Jianbo Pan, Yihan Chen, Duanyang Xie, Liang Xu, Jian Huang, Fei Lv and Jian Yang. Their work appears in journals such as Nature Communications, Journal of the American Heart Association, BMC Plant Biology, Journal of Cellular and Molecular Medicine and Cell Death Discovery.
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.