Yan Kang

3.9k total citations · 1 hit paper
107 papers, 1.8k citations indexed

About

Yan Kang is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Surgery. According to data from OpenAlex, Yan Kang has authored 107 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Critical Care and Intensive Care Medicine, 33 papers in Epidemiology and 25 papers in Surgery. Recurrent topics in Yan Kang's work include Sepsis Diagnosis and Treatment (24 papers), Intensive Care Unit Cognitive Disorders (15 papers) and Nosocomial Infections in ICU (12 papers). Yan Kang is often cited by papers focused on Sepsis Diagnosis and Treatment (24 papers), Intensive Care Unit Cognitive Disorders (15 papers) and Nosocomial Infections in ICU (12 papers). Yan Kang collaborates with scholars based in China, United States and Singapore. Yan Kang's co-authors include Xuelian Liao, Bo Wang, Haibo Qiu, Bingyu Qin, Yi Yang, Wanhong Yin, Yuqin Fan, Kaijiang Yu, Jianfeng Xie and Yongfang Zhou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yan Kang

106 papers receiving 1.8k citations

Hit Papers

The Epidemiology of Sepsis in Chinese ICUs: A National Cr... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey
    2019 289 citations Yan Kang, Dechang Chen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yan Kang China 24 589 453 346 245 241 107 1.8k
Kaijiang Yu China 23 563 1.0× 304 0.7× 283 0.8× 209 0.9× 233 1.0× 112 2.1k
Anne M. Drewry United States 20 906 1.5× 626 1.4× 375 1.1× 184 0.8× 147 0.6× 50 2.0k
Angelo Raffaele De Gaudio Italy 29 608 1.0× 529 1.2× 364 1.1× 672 2.7× 205 0.9× 106 2.6k
Guillaume Voiriot France 23 656 1.1× 394 0.9× 612 1.8× 222 0.9× 423 1.8× 132 2.0k
Xiangdong Guan China 19 452 0.8× 295 0.7× 258 0.7× 233 1.0× 455 1.9× 84 1.6k
Stefan Hofer Germany 28 705 1.2× 435 1.0× 388 1.1× 382 1.6× 166 0.7× 81 3.1k
Frank Bloos Germany 27 950 1.6× 539 1.2× 484 1.4× 520 2.1× 202 0.8× 75 2.3k
Peter M. C. Klein Klouwenberg Netherlands 24 1.4k 2.4× 874 1.9× 307 0.9× 226 0.9× 219 0.9× 34 2.5k
Frans B. Plötz Netherlands 28 832 1.4× 402 0.9× 864 2.5× 477 1.9× 194 0.8× 126 2.9k
Huadong Zhu China 21 394 0.7× 178 0.4× 218 0.6× 327 1.3× 234 1.0× 153 1.5k

Countries citing papers authored by Yan Kang

Since Specialization
Citations

This map shows the geographic impact of Yan Kang'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 Yan Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Kang more than expected).

Fields of papers citing papers by Yan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Kang. 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 Yan Kang. The network helps show where Yan Kang may publish in the future.

Co-authorship network of co-authors of Yan Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Kang. A scholar is included among the top collaborators of Yan Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan Kang. Yan Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Jia, Yan Kang, Lina Wang, et al.. (2025). Effect of finerenone on urinary protein and inflammatory factor levels in type 2 diabetes mellitus patients with diabetic kidney disease. PLoS ONE. 20(8). e0329965–e0329965. 1 indexed citations
2.
Zhong, Xi, Hao Yang, Yan Zhang, et al.. (2024). When can we start early enteral nutrition safely in patients with shock on vasopressors?. Clinical Nutrition ESPEN. 61. 28–36. 2 indexed citations
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Bai, Xue, Peng Zeng, Zhongwei Zhang, et al.. (2023). Disparities between randomized clinical trial participants and sepsis patients in real-world. Journal of Critical Care. 77. 154362–154362. 1 indexed citations
6.
Zhang, Tao, Yucong Wang, Hua Yao, et al.. (2023). Prediction of prokinetic agents in critically ill patients with feeding intolerance: a prospective observational clinical study. Frontiers in Nutrition. 10. 1244517–1244517. 3 indexed citations
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Li, Tianliang, Xinqin Liao, Qin Wu, et al.. (2021). A Skin‐Like and Highly Stretchable Optical Fiber Sensor with the Hybrid Coding of Wavelength–Light Intensity. SHILAP Revista de lepidopterología. 4(4). 35 indexed citations
9.
Wang, Wen, Qiao He, Shichao Zhu, et al.. (2021). Association between blood transfusion and ventilator-associated events: a nested case-control study. Infection Control and Hospital Epidemiology. 43(5). 597–602. 11 indexed citations
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Wang, Ruoran, Min He, Yan Kang, & Jianguo Xu. (2020). Controlling nutritional status (CONUT) score is a predictive marker for patients with traumatic brain injury. Clinical Neurology and Neurosurgery. 195. 105909–105909. 8 indexed citations
12.
Liu, Yong, Xiaojin Li, Yi Liang, & Yan Kang. (2019). Pharmacological Prevention of Postoperative Delirium: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Evidence-based Complementary and Alternative Medicine. 2019. 1–10. 21 indexed citations
13.
Li, Xiaojin, et al.. (2019). The Effects of Safflower Yellow on Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Randomized, Controlled Clinical Trial. Evidence-based Complementary and Alternative Medicine. 2019. 1–14. 5 indexed citations
14.
Qin, Yao, Wanhong Yin, Xueying Zeng, et al.. (2019). [Influence of Critical Care Ultrasound Oriented Fluid Management in Different Stages of Shock to the Outcome].. PubMed. 50(6). 803–807. 1 indexed citations
15.
Wu, Qin, Min Fu, Hong Bo, et al.. (2018). Elevated triglycerides level in hospital stay as a risk factor of mortality in patients with severe acute pancreatitis. PLoS ONE. 13(11). e0207875–e0207875. 8 indexed citations
16.
Liao, Xuelian, et al.. (2017). [Albumin corrected anion gap is an independent risk factor for long-term mortality of patients with sepsis].. PubMed. 29(2). 117–121. 13 indexed citations
17.
Liao, Xuelian, et al.. (2016). Current epidemiology of sepsis in mainland China. Annals of Translational Medicine. 4(17). 324–324. 33 indexed citations
18.
Yin, Wanhong, Ran Zhou, Hong Wu, et al.. (2014). [Value of focused critical ultrasound in the treatment of critical patients in Lushan earthquake].. PubMed. 94(15). 1135–8. 2 indexed citations
19.
Deng, Lijing, Xiaodong Wu, Yan Kang, et al.. (2013). Epidemiology of methicillin-resistant Staphylococcus aureus infection and empirical antibiotic therapy for MRSA infection: multicenter investigation. Chinese Medical Journal. 126(19). 3745–3749. 1 indexed citations
20.
Jin, Xiaodong, Zhi Hu, Yan Kang, et al.. (2011). Association of IL-10−1082 G/G genotype with lower mortality of acute respiratory distress syndrome in a Chinese population. Molecular Biology Reports. 39(1). 1–4. 33 indexed citations

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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