Bin Du

65.6k total citations · 5 hit papers
177 papers, 6.1k citations indexed

About

Bin Du is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bin Du has authored 177 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Epidemiology, 52 papers in Critical Care and Intensive Care Medicine and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bin Du's work include Sepsis Diagnosis and Treatment (57 papers), Respiratory Support and Mechanisms (34 papers) and Intensive Care Unit Cognitive Disorders (27 papers). Bin Du is often cited by papers focused on Sepsis Diagnosis and Treatment (57 papers), Respiratory Support and Mechanisms (34 papers) and Intensive Care Unit Cognitive Disorders (27 papers). Bin Du collaborates with scholars based in China, United States and Canada. Bin Du's co-authors include Li Weng, Haibo Qiu, Jianfeng Xie, Xiangdong Guan, Zhaohui Tong, Jigeeshu Vasishtha Divatia, Jinmin Peng, Jason Phua, Masaji Nishimura and Yaseen M. Arabi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Bin Du

164 papers receiving 6.0k citations

Hit Papers

Intensive care management of coronavirus disease 2019 (CO... 2020 2026 2022 2024 2020 2020 2020 2021 2023 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Du China 35 2.0k 1.5k 1.2k 1.2k 1.0k 177 6.1k
Gernot Marx Germany 46 1.4k 0.7× 1.5k 1.0× 821 0.7× 1.2k 1.0× 1.8k 1.8× 297 6.7k
Gavin M. Joynt Hong Kong 45 1.7k 0.8× 928 0.6× 2.1k 1.7× 1.4k 1.2× 1.0k 1.0× 201 8.0k
Laura Evans United States 26 1.9k 0.9× 922 0.6× 1.5k 1.2× 978 0.8× 627 0.6× 60 5.8k
Timothy H. Rainer Hong Kong 47 2.0k 1.0× 753 0.5× 1.1k 0.9× 1.0k 0.8× 1.4k 1.4× 292 7.8k
Waleed Alhazzani Canada 38 1.6k 0.8× 1.9k 1.3× 649 0.5× 2.4k 2.0× 1.4k 1.3× 147 7.9k
Sachin Yende United States 41 2.9k 1.5× 1.5k 1.0× 616 0.5× 1.3k 1.1× 672 0.7× 106 6.3k
Charles D. Gomersall Hong Kong 37 1.1k 0.5× 763 0.5× 1.2k 0.9× 1.3k 1.0× 492 0.5× 116 5.0k
Dominique Benoît Belgium 39 2.3k 1.1× 1.6k 1.1× 786 0.6× 1.2k 1.0× 530 0.5× 155 5.9k
Ricard Ferrer Spain 43 3.8k 1.9× 2.0k 1.3× 817 0.7× 904 0.7× 909 0.9× 237 7.4k
Hallie C. Prescott United States 38 3.9k 1.9× 2.4k 1.6× 2.6k 2.1× 1.3k 1.1× 929 0.9× 163 9.6k

Countries citing papers authored by Bin Du

Since Specialization
Citations

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

Fields of papers citing papers by Bin Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Du

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Du. A scholar is included among the top collaborators of Bin Du 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 Bin Du. Bin Du 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
2.
Wu, Daniel, Amy Dzierba, Enyo Ablordeppey, et al.. (2025). The Definition of the Intensivist in the Era of Global Healthcare: 2024 Consensus Statement From the Society of Critical Care Medicine Defining Intensivist Task Force. Critical Care Medicine. 53(3). e548–e554. 1 indexed citations
3.
Ding, Xin, Xiang Zhou, & Bin Du. (2025). Recent advances in membrane and sorbent design for blood purification in sepsis and septic shock. Chem. 11(4). 102529–102529. 1 indexed citations
4.
Liu, Kathleen D., Jean‐Pierre Quenot, Azra Bihorac, et al.. (2025). Dialysis Dependence in Standard versus Accelerated Initiation of KRT in AKI. Clinical Journal of the American Society of Nephrology. 20(5). 601–607. 1 indexed citations
5.
Chávez‐Tapia, Norberto C., et al.. (2024). Safety and efficacy of selective RIPK1 inhibitor SIR1-365 in hospitalized patients with severe COVID-19: A multicenter, randomized, double-blind, phase 1b trial. SHILAP Revista de lepidopterología. 5(1). 70–78. 4 indexed citations
6.
Li, Yuanyuan, Mingming Yuan, Shan Li, et al.. (2024). Cell-free DNA methylation reveals cell-specific tissue injury and correlates with disease severity and patient outcomes in COVID-19. Clinical Epigenetics. 16(1). 37–37. 2 indexed citations
7.
Sun, Hongli, Shan Li, Yifan Wang, et al.. (2024). Comparison of bloodstream infections due to Corynebacterium striatum, MRSA, and MRSE. BMC Infectious Diseases. 24(1). 988–988. 1 indexed citations
8.
Li, Qian, et al.. (2024). Predictive value of neutrophil-to-lymphocyte ratio in coronary chronic total occlusion patients. Journal of Geriatric Cardiology. 21(5). 542–549. 1 indexed citations
11.
Liu, Ruiting, et al.. (2023). Sepsis-induced Coagulopathy: The Different Prognosis in Severe Pneumonia and Bacteremia Infection Patients. Clinical and Applied Thrombosis/Hemostasis. 29. 2995400753–2995400753. 5 indexed citations
12.
Xie, Jianfeng, Bin Du, & Haibo Qiu. (2021). Critical care after the COVID-19 outbreak in China: lessons and renaissance. Intensive Care Medicine. 47(9). 1017–1020. 2 indexed citations
13.
Chen, Xiaoli, et al.. (2021). Conservative oxygen therapy for critically ill patients: a meta-analysis of randomized controlled trials. Journal of Intensive Care. 9(1). 47–47. 9 indexed citations
14.
Qiu, Haibo, Xuyan Li, Bin Du, et al.. (2020). [The keypoints in treatment of the critical coronavirus disease 2019 patient(1)].. PubMed. 43(4). 273–277. 21 indexed citations
15.
Russell, James A., John C. Marshall, Arthur S. Slutsky, et al.. (2020). Study protocol for a multicentre, prospective cohort study of the association of angiotensin II type 1 receptor blockers on outcomes of coronavirus infection. BMJ Open. 10(12). e040768–e040768. 3 indexed citations
16.
Yu, Xiangyou, Tongwen Sun, Yanfen Chai, et al.. (2018). ADJunctive Ulinastatin in Sepsis Treatment in China (ADJUST study): study protocol for a randomized controlled trial. Trials. 19(1). 133–133. 11 indexed citations
17.
Zhang, Zhongheng, et al.. (2015). Lung protective ventilation in patients undergoing major surgery: a systematic review incorporating a Bayesian approach. BMJ Open. 5(9). e007473–e007473. 17 indexed citations
18.
Zhang, Zhongheng, Xiao Hu, Xia Zhang, et al.. (2014). Lung protective ventilation in patients undergoing major surgery: a systematic review protocol. BMJ Open. 4(3). e004542–e004542. 1 indexed citations
19.
Song, Haijing, Yu Wang, Yan Kang, et al.. (2013). Factors associated with low adherence to head-of-bed elevation during mechanical ventilation in Chinese intensive care units. Chinese Medical Journal. 126(5). 834–838. 9 indexed citations
20.
Du, Bin, Dechang Chen, Dawei Liu, et al.. (2003). Restriction of third-generation cephalosporin use decreases infection-related mortality. Critical Care Medicine. 31(4). 1088–1093. 29 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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