Yu Qi
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
-
- Mesenchymal stem cell research
Papers in
-
- Cardiovascular Function and Risk Factors 4
- Acute Myocardial Infarction Research 3
- Cardiac Fibrosis and Remodeling 2
-
- Extracellular vesicles in disease 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Adelheid Hainzl (1 shared paper)Meinhard Wlaschek (1 shared paper)Anca Sindrilaru (1 shared paper)Sheila MacNeil (1 shared paper)Dongsheng Jiang (1 shared paper)Karin Scharffetter‐Kochanek (1 shared paper)Qi Chen (2 shared papers)Junqing Ma (2 shared papers)
- Journals
- BMC Cardiovascular Disorders (4 papers)Artificial Intelligence in Medicine (1 paper)Journal of Aerospace Engineering (1 paper)Aging (1 paper)Natural Product Communications (1 paper)
- Partner nations
- ChinaNetherlandsGermany
In The Last Decade
Yu Qi
18 papers receiving 379 citations
Peers
Comparison fields: 5 of 87
- Rehabilitation 64
- Genetics 63
- Immunology 68
- Cancer Research 45
- Cardiology and Cardiovascular Medicine 61
Countries citing papers authored by Yu Qi
This map shows the geographic impact of Yu Qi'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 Yu Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Qi more than expected).
Fields of papers citing papers by Yu Qi
This network shows the impact of papers produced by Yu Qi. 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 Yu Qi. The network helps show where Yu Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Qi, 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 | 2019 | 101 | |
| 2 | 2013 | 92 | |
| 3 | 2022 | 33 | |
| 4 | Lactobacillus casei regulates differentiation of Th17/Treg cells to reduce intestinal inflammation in mice. | 2017 | 26 |
| 5 | 2019 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2023 | 15 | |
| 10 | 2020 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | [Establishment of a new rabbit model of ischemic cerebral infarction by autologous clot embolism]. | 2009 | 1 |
| 19 | 2025 | 0 |
About Yu Qi
Yu Qi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Epidemiology and Cancer Research, having authored 19 papers that have together received 383 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Acute Myocardial Infarction Research (3 papers), Cardiac Imaging and Diagnostics (2 papers), Coronary Interventions and Diagnostics (2 papers), Extracellular vesicles in disease (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Rehabilitation (64 citations), Genetics (63 citations), Immunology (68 citations), Cancer Research (45 citations) and Cardiology and Cardiovascular Medicine (61 citations). Yu Qi has collaborated with scholars based in China, Netherlands and Germany. Frequent co-authors include Adelheid Hainzl, Meinhard Wlaschek, Anca Sindrilaru, Sheila MacNeil, Dongsheng Jiang, Karin Scharffetter‐Kochanek, Qi Chen, Junqing Ma, Yong Xu and Rong Gu. Their work appears in journals such as BMC Cardiovascular Disorders, Artificial Intelligence in Medicine, Journal of Aerospace Engineering, Aging and Natural Product Communications.
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.