Xueting Qiu
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 5
- Cancer Research top 10%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 6
- COVID-19 Clinical Research Studies 3
- Animal Science and Zoology top 5%
- Epidemiology top 10%
- Influenza Virus Research Studies 3
- Respiratory viral infections research 2
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- Hormonal Regulation and Hypertension 5
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- Nutritional Studies and Diet 3
- Co-authors
- Justin BahlClaudio L. AfonsoAndrew M. RameyKiril M. DimitrovKangkai WangMiao PanHong ShenChuanchang Li
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xueting Qiu
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Modeling and Simulation 120
- Cancer Research 271
- Infectious Diseases 333
- Animal Science and Zoology 155
- Epidemiology 453
Countries citing papers authored by Xueting Qiu
This map shows the geographic impact of Xueting Qiu'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 Xueting Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueting Qiu more than expected).
Fields of papers citing papers by Xueting Qiu
This network shows the impact of papers produced by Xueting Qiu. 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 Xueting Qiu. The network helps show where Xueting Qiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xueting Qiu, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 73 | |
| 9 | 2021 | 91 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 22 | |
| 13 | 2020 | 3 | |
| 14 | 2018 | 148 | |
| 15 | Hypoxia-elicited mesenchymal stem cell-derived exosomes facilitates cardiac repair through miR-125b-mediated prevention of cell death in myocardial infarctionbreakdown → | 2018 | 427 |
| 16 | 2018 | 2 | |
| 17 | 2018 | 15 | |
| 18 | 2017 | 6 | |
| 19 | 2016 | 241 | |
| 20 | 2015 | 22 |
About Xueting Qiu
Xueting Qiu is a scholar working on Modeling and Simulation, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), SARS-CoV-2 detection and testing (6 papers), COVID-19 epidemiological studies (5 papers), Hormonal Regulation and Hypertension (5 papers), Influenza Virus Research Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), Nutritional Studies and Diet (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Modeling and Simulation (120 citations), Cancer Research (271 citations) and Infectious Diseases (333 citations). Xueting Qiu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Justin Bahl, Claudio L. Afonso, Andrew M. Ramey, Kiril M. Dimitrov, Kangkai Wang, Miao Pan, Hong Shen, Chuanchang Li, Xu Li and Jingni He. Their work appears in journals such as Cell, Clinical Infectious Diseases and Journal of Virology.
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.