Xiaoying Gu
Impact in
- Infectious Diseases top 0.02%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 0.05%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 4
-
- Pneumonia and Respiratory Infections 3
- Co-authors
- Bin Cao (22 shared papers)Yeming Wang (14 shared papers)Guohui Fan (12 shared papers)Jiuyang Xu (9 shared papers)Fei Zhou (4 shared papers)Zhibo Liu (2 shared papers)Yi Zhang (2 shared papers)Bin Song (1 shared paper)
- Journals
- Clinical Microbiology and Infection (4 papers)BMJ Open (2 papers)American Journal of Hypertension (2 papers)The Lancet (2 papers)Open Forum Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoying Gu
44 papers receiving 18.9k citations
Xiaoying Gu's Hit Papers
Peers
Comparison fields: 5 of 191
- Infectious Diseases 10.3k
- Neurology 4.7k
- Modeling and Simulation 942
- Critical Care and Intensive Care Medicine 776
- Applied Microbiology and Biotechnology 292
Countries citing papers authored by Xiaoying Gu
This map shows the geographic impact of Xiaoying Gu'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 Xiaoying Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Gu more than expected).
Fields of papers citing papers by Xiaoying Gu
This network shows the impact of papers produced by Xiaoying Gu. 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 Xiaoying Gu. The network helps show where Xiaoying Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study Hit paper breakdown → | 2020 | 18256 |
| 2 | Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study Hit paper breakdown → | 2022 | 372 |
| 3 | 2019 | 102 | |
| 4 | 2020 | 63 | |
| 5 | 2020 | 62 | |
| 6 | 2023 | 43 | |
| 7 | 2022 | 34 | |
| 8 | 2023 | 33 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2017 | 30 | |
| 12 | 2020 | 30 | |
| 13 | 2020 | 29 | |
| 14 | 2015 | 26 | |
| 15 | 2020 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2019 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2020 | 14 | |
| 20 | 2020 | 14 |
About Xiaoying Gu
Xiaoying Gu is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 19.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumonia and Respiratory Infections (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Quantum Dots Synthesis And Properties (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Infectious Diseases (10.3k citations), Neurology (4.7k citations), Modeling and Simulation (942 citations), Critical Care and Intensive Care Medicine (776 citations) and Applied Microbiology and Biotechnology (292 citations). Xiaoying Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Cao, Yeming Wang, Guohui Fan, Jiuyang Xu, Fei Zhou, Zhibo Liu, Yi Zhang, Bin Song, Hua Chen and Xudong Wu. Their work appears in journals such as Clinical Microbiology and Infection, BMJ Open, American Journal of Hypertension, The Lancet and Open Forum Infectious Diseases.
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.