Ying Yao

406 total citations
16 papers, 206 citations indexed

About

Ying Yao is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Ying Yao has authored 16 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Ying Yao's work include Sepsis Diagnosis and Treatment (4 papers), Respiratory Support and Mechanisms (3 papers) and Immune Response and Inflammation (3 papers). Ying Yao is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Respiratory Support and Mechanisms (3 papers) and Immune Response and Inflammation (3 papers). Ying Yao collaborates with scholars based in China and Canada. Ying Yao's co-authors include Songtao Shou, Yulei Gao, Yancun Liu, Muming Yu, Xiaoying Zang, Yue Zhao, Di Shao, Yan Zhang, Tianyu Jiang and Yanfen Chai and has published in prestigious journals such as Frontiers in Immunology, Quality of Life Research and Oncotarget.

In The Last Decade

Ying Yao

13 papers receiving 199 citations

Peers

Ying Yao
Ryan Marino United States
Heather Dale United States
Joong Hyun Ahn South Korea
Uzma Ishaq Pakistan
Anwar Ul Haq Pakistan
Sivan Perl Israel
Ryan Marino United States
Ying Yao
Citations per year, relative to Ying Yao Ying Yao (= 1×) peers Ryan Marino

Countries citing papers authored by Ying Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yao. A scholar is included among the top collaborators of Ying Yao 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 Ying Yao. Ying Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
2.
Wang, Yaqi, et al.. (2025). Development and validation of a nomogram model for predicting the high-risk symptom multi-trajectories in patients with heart failure. European Journal of Cardiovascular Nursing. 24(7). 1145–1158.
3.
Yao, Ying, et al.. (2024). A machine learning algorithm-based predictive model for pressure injury risk in emergency patients: A prospective cohort study. International Emergency Nursing. 74. 101419–101419. 5 indexed citations
4.
Yao, Ying, Yanwen Zhang, Xuedong Li, et al.. (2022). Prognostic Value of Patient-Reported Outcomes in Predicting 30 Day All-Cause Readmission Among Older Patients with Heart Failure. ESC Heart Failure. 9(5). 2840–2850. 2 indexed citations
5.
Liu, Yancun, Ying Yao, Muming Yu, et al.. (2022). Frequency and mortality of sepsis and septic shock in China: a systematic review and meta-analysis. BMC Infectious Diseases. 22(1). 564–564. 41 indexed citations
6.
Gao, Yulei, Ying Yao, Xiang Zhang, et al.. (2022). Regulatory T Cells: Angels or Demons in the Pathophysiology of Sepsis?. Frontiers in Immunology. 13. 829210–829210. 27 indexed citations
7.
Li, Yanping, et al.. (2021). Diagnostic value and significance of serum miR‑132 combined with miR‑223 for sepsis‑induced cardiomyopathy. Experimental and Therapeutic Medicine. 22(6). 1396–1396. 5 indexed citations
8.
Yao, Ying, et al.. (2020). The influence of socioeconomic status on menarcheal age among Chinese school-age girls in Tianjin, China. European Journal of Pediatrics. 180(3). 825–832. 7 indexed citations
9.
Sheng, Zhi-yong, et al.. (2020). [Update in immune regulatory dysfunction of dendritic cells in sepsis].. PubMed. 36(2). 150–155. 1 indexed citations
10.
12.
Yao, Ying, et al.. (2017). Effects of continuous artificial airway cuff pressure monitoring in preventing ventilator-associated pneumonia. Zhonghua xiandai huli zazhi. 23(13). 1734–1738.
13.
Zhang, Yan, et al.. (2017). The utility of presepsin in diagnosis and risk stratification for the emergency patients with sepsis. The American Journal of Emergency Medicine. 36(8). 1341–1345. 32 indexed citations
15.
Li, Xiaoyu, Ying Yao, Xitao Wang, et al.. (2016). Chicken egg yolk antibodies (IgY) modulate the intestinal mucosal immune response in a mouse model of Salmonella typhimurium infection. International Immunopharmacology. 36. 305–314. 25 indexed citations
16.
Gao, Yulei, Muming Yu, Songtao Shou, et al.. (2016). Tuftsin prevents the negative immunoregulation of neuropilin-1highCD4+CD25+Regulatory T cells and improves survival rate in septic mice. Oncotarget. 7(49). 81791–81805. 18 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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