Canxia Shi
Impact in
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- Chemotherapy-induced cardiotoxicity and mitigation
- Cardiovascular Function and Risk Factors
Papers in
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- Metabolism, Diabetes, and Cancer 2
- FOXO transcription factor regulation 1
- Muscle Physiology and Disorders 1
- S100 Proteins and Annexins 1
- Co-authors
- Sanne de Wit (10 shared papers)Rudolf A. de Boer (10 shared papers)Joseph Pierre Aboumsallem (10 shared papers)Wouter C. Meijers (9 shared papers)Yunhui Guo (1 shared paper)Elles M. Screever (4 shared papers)Zhiping Li (1 shared paper)Jia Li (1 shared paper)
- Journals
- Journal of Molecular and Cellular Cardiology (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)JACC CardioOncology (1 paper)Cancers (1 paper)Cardiovascular Research (1 paper)
- Partner nations
- NetherlandsChinaUnited States
In The Last Decade
Canxia Shi
12 papers receiving 192 citations
Peers
Comparison fields: 5 of 63
- Aging 6
- Cardiology and Cardiovascular Medicine 40
- Hematology 17
- Cancer Research 22
- Genetics 13
Countries citing papers authored by Canxia Shi
This map shows the geographic impact of Canxia 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 Canxia Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Canxia Shi more than expected).
Fields of papers citing papers by Canxia Shi
This network shows the impact of papers produced by Canxia 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 Canxia Shi. The network helps show where Canxia Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Canxia 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 | 2017 | 35 | |
| 2 | 2022 | 33 | |
| 3 | 2017 | 31 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 |
About Canxia Shi
Canxia Shi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Cancer Research and Genetics, having authored 12 papers that have together received 195 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), Acute Myeloid Leukemia Research (1 paper), PARP inhibition in cancer therapy (1 paper), Galectins and Cancer Biology (1 paper), FOXO transcription factor regulation (1 paper), Muscle Physiology and Disorders (1 paper), S100 Proteins and Annexins (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Aging (6 citations), Cardiology and Cardiovascular Medicine (40 citations), Hematology (17 citations), Cancer Research (22 citations) and Genetics (13 citations). Canxia Shi has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Sanne de Wit, Rudolf A. de Boer, Joseph Pierre Aboumsallem, Wouter C. Meijers, Yunhui Guo, Elles M. Screever, Zhiping Li, Jia Li, Xia Chen and Herman H.W. Silljé. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Heart and Circulatory Physiology, JACC CardioOncology, Cancers and Cardiovascular Research.
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.