Kaijiang Yu

107 papers receiving 2.0k citations

Hit Papers

The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey 2019 · 289 citations
289201920262021202350100150200250

Peers

Kaijiang Yu
Comparison fields: 5 of 135
  • Critical Care and Intensive Care Medicine 304
  • Nephrology 132
  • Epidemiology 563
  • Anesthesiology and Pain Medicine 83
  • Developmental Neuroscience 61
Replace Michael Adamzik with:
Michael Adamzik Germany
Stefan Hofer Germany
Baoli Cheng China
Yan Kang China
Emmanuel Lorne France
Αναστασία Κοτανίδου Greece
Shinji Ogura Japan
Ning Li China
Thorsten Brenner Germany
Julien Pottecher France
Kaijiang Yu relative to Michael Adamzik Germany Michael Adamzik's profile →
Citations per field
00.5×1.5×1.8×
Michael Adamzik · 1×
Citations per year

Countries citing papers authored by Kaijiang Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kaijiang Yu Line = papers co-authored together Kaijiang Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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9 202227
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11 202012
12 201912
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14 20192
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17 201816
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GTS-21 attenuates LPS-induced renal injury via the cholinergic anti-inflammatory pathway in mice.
201711
19 201678
20 20133

About Kaijiang Yu

Kaijiang Yu is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience, Nephrology, Anesthesiology and Pain Medicine and Infectious Diseases, having authored 112 papers that have together received 2.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (18 papers), COVID-19 Clinical Research Studies (14 papers), Intensive Care Unit Cognitive Disorders (13 papers), Long-Term Effects of COVID-19 (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Acute Kidney Injury Research (9 papers), Respiratory Support and Mechanisms (7 papers) and Anesthesia and Neurotoxicity Research (7 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (304 citations), Nephrology (132 citations), Epidemiology (563 citations), Anesthesiology and Pain Medicine (83 citations) and Developmental Neuroscience (61 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, Haitao Liu, Jianfeng Xie, Mingyan Zhao, Haibo Qiu, Yi Yang and Yang Gao. Their work appears in journals such as Critical Care, The Journal of Infectious Diseases, Journal of Inflammation Research, Journal of Parenteral and Enteral Nutrition 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.

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