Kaijiang Yu
Impact in
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- Intensive Care Unit Cognitive Disorders
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment
Papers in
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- Gut microbiota and health 7
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- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Changsong Wang (45 shared papers)Ruitao Wang (11 shared papers)Hongliang Wang (16 shared papers)Kai Kang (19 shared papers)Yi Yang (4 shared papers)Haitao Liu (6 shared papers)Mingyan Zhao (20 shared papers)Haibo Qiu (6 shared papers)
- Journals
- Critical Care (4 papers)The Journal of Infectious Diseases (3 papers)Journal of Inflammation Research (3 papers)International Immunopharmacology (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kaijiang Yu
108 papers receiving 2.1k citations
Kaijiang Yu's Hit Papers
Peers
Comparison fields: 5 of 127
- Critical Care and Intensive Care Medicine 175
- Epidemiology 369
- Nephrology 78
- Immunology 221
- Cancer Research 149
Countries citing papers authored by Kaijiang Yu
This map shows the geographic impact of Kaijiang Yu'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 Kaijiang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijiang Yu more than expected).
Fields of papers citing papers by Kaijiang Yu
This network shows the impact of papers produced by Kaijiang Yu. 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 Kaijiang Yu. The network helps show where Kaijiang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijiang Yu, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey Hit paper breakdown → | 2019 | 311 |
| 2 | 2017 | 131 | |
| 3 | 2016 | 119 | |
| 4 | 2017 | 105 | |
| 5 | 2016 | 89 | |
| 6 | 2016 | 79 | |
| 7 | 2016 | 66 | |
| 8 | 2019 | 64 | |
| 9 | 2021 | 63 | |
| 10 | Dexmedetomidine alleviates LPS-induced septic cardiomyopathy via the cholinergic anti-inflammatory pathway in mice. | 2017 | 56 |
| 11 | 2018 | 53 | |
| 12 | 2018 | 44 | |
| 13 | 2021 | 33 | |
| 14 | 2018 | 33 | |
| 15 | 2021 | 31 | |
| 16 | 2022 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2016 | 26 |
About Kaijiang Yu
Kaijiang Yu is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Neurology and Pulmonary and Respiratory Medicine, having authored 112 papers that have together received 2.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), COVID-19 Clinical Research Studies (9 papers), Acute Kidney Injury Research (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Long-Term Effects of COVID-19 (8 papers), Gut microbiota and health (7 papers), Respiratory Support and Mechanisms (6 papers) and Intensive Care Unit Cognitive Disorders (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (175 citations), Epidemiology (369 citations), Nephrology (78 citations), Immunology (221 citations) and Cancer Research (149 citations). Kaijiang Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Changsong Wang, Ruitao Wang, Hongliang Wang, Kai Kang, Yi Yang, Haitao Liu, Mingyan Zhao, Haibo Qiu, Jianfeng Xie and Yan Kang. Their work appears in journals such as Critical Care, The Journal of Infectious Diseases, Journal of Inflammation Research, International Immunopharmacology and Frontiers in Cellular and Infection Microbiology.
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.