Qianyi Peng

1.7k total citations · 1 hit paper
46 papers, 1.1k citations indexed

About

Qianyi Peng is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Qianyi Peng has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Critical Care and Intensive Care Medicine, 16 papers in Epidemiology and 15 papers in Molecular Biology. Recurrent topics in Qianyi Peng's work include Sepsis Diagnosis and Treatment (14 papers), Intensive Care Unit Cognitive Disorders (12 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). Qianyi Peng is often cited by papers focused on Sepsis Diagnosis and Treatment (14 papers), Intensive Care Unit Cognitive Disorders (12 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). Qianyi Peng collaborates with scholars based in China, United States and Canada. Qianyi Peng's co-authors include Lina Zhang, Xiaoting Wang, Yuhang Ai, Lina Zhang, Songyun Deng, Li Huang, Yu Zou, Long Wu, Hua Gong and Wenchao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Qianyi Peng

41 papers receiving 1.1k citations

Hit Papers

Findings of lung ultrasonography of novel corona virus pn... 2020 2026 2022 2024 2020 100 200 300 400 500
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. Findings of lung ultrasonography of novel corona virus pneumonia during the 2019–2020 epidemic
    2020 515 citations Qianyi Peng, Xiaoting Wang et al. Intensive Care Medicine profile →

Peers

Qianyi Peng
Maria Plataki United States
Olivier Fourcade France
Nicola Morelli Italy
Manigandan Chandrasekaran United Kingdom
Karin Wildi Switzerland
Max Scheffler Switzerland
Carlos E. Palant United States
Miklós Szabó Hungary
Kenneth G. Proctor United States
Mayuki Aibiki Japan
Maria Plataki United States
Qianyi Peng
Citations per year, relative to Qianyi Peng Qianyi Peng (= 1×) peers Maria Plataki

Countries citing papers authored by Qianyi Peng

Since Specialization
Citations

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

Fields of papers citing papers by Qianyi Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianyi Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Qianyi Peng. A scholar is included among the top collaborators of Qianyi Peng 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 Qianyi Peng. Qianyi Peng 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
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Zhang, Lina, et al.. (2023). Chemogenetic activation of the HPC-mPFC pathway improves cognitive dysfunction in lipopolysaccharide -induced brain injury. Theranostics. 13(9). 2946–2961. 15 indexed citations
4.
Zhang, Lina, Yuhang Ai, Wei Chen, et al.. (2023). Effect of β-blockers on mortality in patients with sepsis: A propensity-score matched analysis. Frontiers in Cellular and Infection Microbiology. 13. 1121444–1121444. 13 indexed citations
5.
Ye, Zhiwen, Peng Wei, Yi Feng, et al.. (2023). Effect of basal metabolic rate on osteoporosis: A Mendelian randomization study. Frontiers in Public Health. 11. 1096519–1096519. 25 indexed citations
6.
Zhang, Lina, et al.. (2022). Hippocampus‐prefrontal cortex inputs modulate spatial learning and memory in a mouse model of sepsis induced by cecal ligation puncture. CNS Neuroscience & Therapeutics. 29(1). 390–401. 18 indexed citations
7.
Chen, Wei, Zhiwen Ye, Lina Zhang, et al.. (2022). Machine learning for early prediction of sepsis-associated acute brain injury. Frontiers in Medicine. 9. 962027–962027. 15 indexed citations
8.
Peng, Qianyi, Lixia Liu, Qian Zhang, et al.. (2021). Lung ultrasound score based on the BLUE‐plus protocol is associated with the outcomes and oxygenation indices of intensive care unit patients. Journal of Clinical Ultrasound. 49(7). 704–714. 5 indexed citations
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Peng, Qianyi, et al.. (2021). Association between albumin infusion and outcomes in patients with acute kidney injury and septic shock. Scientific Reports. 11(1). 24083–24083. 16 indexed citations
11.
Zhang, Lina, Yuan Jiang, Songyun Deng, et al.. (2021). S100B/RAGE/Ceramide signaling pathway is involved in sepsis-associated encephalopathy. Life Sciences. 277. 119490–119490. 29 indexed citations
12.
Peng, Qianyi, et al.. (2020). Findings of lung ultrasonography of novel corona virus pneumonia during the 2019–2020 epidemic. Intensive Care Medicine. 46(5). 849–850. 515 indexed citations breakdown →
13.
Huang, Li, Lina Zhang, Zhiyong Liu, et al.. (2019). Pentamidine protects mice from cecal ligation and puncture-induced brain damage via inhibiting S100B/RAGE/NF-κB. Biochemical and Biophysical Research Communications. 517(2). 221–226. 16 indexed citations
14.
Deng, Songyun, Yuhang Ai, Hua Gong, et al.. (2018). Mitochondrial dynamics and protective effects of a mitochondrial division inhibitor, Mdivi-1, in lipopolysaccharide-induced brain damage. Biochemical and Biophysical Research Communications. 496(3). 865–871. 31 indexed citations
15.
Wang, Yimin, Zhiyong Liu, Yuhang Ai, et al.. (2017). Blocking the CD38/cADPR pathway plays a double-edged role in LPS stimulated microglia. Neuroscience. 361. 34–42. 17 indexed citations
16.
Deng, Songyun, Yuhang Ai, Hua Gong, et al.. (2017). Neuroglobin Protects Rats from Sepsis-Associated Encephalopathy via a PI3K/Akt/Bax-Dependent Mechanism. Journal of Molecular Neuroscience. 63(1). 1–8. 16 indexed citations
17.
Peng, Qianyi, Yimin Wang, Caixia Chen, et al.. (2017). Inhibiting the CD38/cADPR pathway protected rats against sepsis associated brain injury. Brain Research. 1678. 56–63. 13 indexed citations
18.
Peng, Qianyi, et al.. (2016). Blocking Cyclic Adenosine Diphosphate Ribose-mediated Calcium Overload Attenuates Sepsis-induced Acute Lung Injury in Rats. Chinese Medical Journal. 129(14). 1725–1730. 7 indexed citations
19.
Zhang, Lina, Xiaohong Wang, Long Wu, et al.. (2016). Diagnostic and Predictive Levels of Calcium-binding Protein A8 and Tumor Necrosis Factor Receptor-associated Factor 6 in Sepsis-associated Encephalopathy. Chinese Medical Journal. 129(14). 1674–1681. 27 indexed citations
20.
Zhang, Lina, Yuhang Ai, Qulian Guo, et al.. (2013). Establishment of methods for producing rat models of sepsis-associated encephalopathy. Zhonghua jizhen yixue zazhi. 22(7). 731–736. 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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