Bing Dai

2.0k total citations · 1 hit paper
91 papers, 1.4k citations indexed

About

Bing Dai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Bing Dai has authored 91 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 22 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Bing Dai's work include Respiratory Support and Mechanisms (19 papers), Inhalation and Respiratory Drug Delivery (10 papers) and Airway Management and Intubation Techniques (7 papers). Bing Dai is often cited by papers focused on Respiratory Support and Mechanisms (19 papers), Inhalation and Respiratory Drug Delivery (10 papers) and Airway Management and Intubation Techniques (7 papers). Bing Dai collaborates with scholars based in China, United States and Australia. Bing Dai's co-authors include L. Darryl Quarles, Valentin David, Aline Martin, Jinsong Huang, Hongwen Zhao, Wei Tan, Jian Kang, Na Yu, Yunxiao Shang and Xinming Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrinology.

In The Last Decade

Bing Dai

85 papers receiving 1.4k citations

Hit Papers

A novel role for the ROS-ATM-Chk2 axis mediated metabolic... 2024 2026 2025 2024 10 20 30 40 50
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. A novel role for the ROS-ATM-Chk2 axis mediated metabolic and cell cycle reprogramming in the M1 macrophage polarization
    2024 56 citations Bing Dai 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
Bing Dai China 22 474 336 322 198 160 91 1.4k
Changying Xing China 24 368 0.8× 791 2.4× 183 0.6× 152 0.8× 176 1.1× 126 1.6k
Simona Granata Italy 23 634 1.3× 447 1.3× 155 0.5× 90 0.5× 90 0.6× 62 1.6k
Yong Ki Kim South Korea 24 384 0.8× 424 1.3× 136 0.4× 101 0.5× 203 1.3× 88 2.0k
Xiaoyan Wu China 21 663 1.4× 163 0.5× 226 0.7× 50 0.3× 127 0.8× 68 1.7k
Matheus Corrêa-Costa Brazil 20 993 2.1× 544 1.6× 211 0.7× 76 0.4× 152 0.9× 30 2.1k
Vinícius Andrade‐Oliveira Brazil 23 848 1.8× 333 1.0× 122 0.4× 168 0.8× 99 0.6× 38 2.1k
Fan He China 21 541 1.1× 170 0.5× 187 0.6× 77 0.4× 122 0.8× 63 1.7k
Ali Ramezani United States 16 935 2.0× 409 1.2× 75 0.2× 300 1.5× 89 0.6× 24 1.7k
Qiongyuan Hu China 19 725 1.5× 135 0.4× 166 0.5× 104 0.5× 73 0.5× 50 1.5k

Countries citing papers authored by Bing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Dai. A scholar is included among the top collaborators of Bing Dai 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 Bing Dai. Bing Dai 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.
Li, Yaodong, et al.. (2025). Bone marrow mesenchymal stem cell-derived exosomal microRNA-335 alleviates vascular calcification by targeting SP1. Frontiers in Cardiovascular Medicine. 12. 1572045–1572045. 1 indexed citations
2.
3.
Peng, Yun, et al.. (2024). Comparison between high-flow nasal cannula and conventional oxygen therapy in COVID-19 patients: a systematic review and meta-analysis. Therapeutic Advances in Respiratory Disease. 18. 2683804651–2683804651. 2 indexed citations
4.
Mei, Shuqin, Cheng Xue, Zheng Zhang, et al.. (2024). COVID-19-Associated Immune Thrombocytopenic Purpura in a Hemodialysis Patient. Journal of Blood Medicine. Volume 15. 495–500.
5.
Liu, Henan, Yao Zhang, Xun Li, et al.. (2024). Synthetic routes and clinical application of Small-Molecule HER2 inhibitors for cancer therapy. Bioorganic Chemistry. 151. 107653–107653. 2 indexed citations
6.
Li, Xinyu, Bing Dai, Hongwen Zhao, et al.. (2024). Conservative versus liberal oxygen therapy for intensive care unit patients: meta-analysis of randomized controlled trials. Annals of Intensive Care. 14(1). 68–68. 3 indexed citations
7.
Xue, Cheng, Jian Wang, Chenchen Zhou, et al.. (2023). Cyclophosphamide induced early remission and was superior to rituximab in idiopathic membranous nephropathy patients with high anti-PLA2R antibody levels. BMC Nephrology. 24(1). 280–280. 7 indexed citations
8.
Peng, Yun, Bing Dai, Hongwen Zhao, et al.. (2022). Comparison between high-flow nasal cannula and noninvasive ventilation in COVID-19 patients: a systematic review and meta-analysis. Therapeutic Advances in Respiratory Disease. 16. 2673692991–2673692991. 8 indexed citations
9.
Dai, Bing, et al.. (2022). Effectiveness of the use of a high-flow nasal cannula to treat COVID-19 patients and risk factors for failure: a meta-analysis. Therapeutic Advances in Respiratory Disease. 16. 2673671259–2673671259. 9 indexed citations
10.
Xiang, Yun, Xiaoli Wang, Bing Dai, et al.. (2022). Exploring the Possible Link between the Gut Microbiome and Fat Deposition in Pigs. Oxidative Medicine and Cellular Longevity. 2022(1). 1098892–1098892. 38 indexed citations
11.
12.
Li, Lili, et al.. (2020). Effect of Different Interfaces on F IO 2 and CO 2 Rebreathing During Noninvasive Ventilation. Respiratory Care. 66(1). 25–32. 4 indexed citations
13.
Dai, Bing, et al.. (2019). Factors affecting FiO2 and PEEP during high‐flow nasal cannula oxygen therapy: A bench study. The Clinical Respiratory Journal. 13(12). 758–764. 11 indexed citations
14.
15.
David, Valentin, Bing Dai, Aline Martin, et al.. (2013). Calcium Regulates FGF-23 Expression in Bone. Endocrinology. 154(12). 4469–4482. 106 indexed citations
16.
Dai, Bing, et al.. (2013). Influence of Exhalation Valve and Nebulizer Position on Albuterol Delivery During Noninvasive Positive Pressure Ventilation. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 27(2). 125–132. 35 indexed citations
17.
Dai, Bing, Jian Kang, Na Yu, Wei Tan, & Hongwen Zhao. (2013). Oxygen Injection Site Affects F IO 2 During Noninvasive Ventilation. Respiratory Care. 58(10). 1630–1636. 6 indexed citations
18.
Dai, Bing. (2012). Selection of Antagonistic Fungi to Species of Pathogens on Camellia oleifera. 1 indexed citations
19.
Dai, Bing, et al.. (2010). Clinical analysis of 75 severe and critical patients with novel influenza A (H1N1).. 30(1). 6–9.
20.
Dai, Bing. (2005). General Situation and Prospect of the Chinese Ethno-medicine's Development. 1 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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