Yumeng Yao

2.1k total citations · 2 hit papers
21 papers, 1.3k citations indexed

About

Yumeng Yao is a scholar working on Infectious Diseases, Molecular Biology and Neurology. According to data from OpenAlex, Yumeng Yao has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Yumeng Yao's work include Tuberculosis Research and Epidemiology (5 papers), COVID-19 Clinical Research Studies (4 papers) and Long-Term Effects of COVID-19 (4 papers). Yumeng Yao is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), COVID-19 Clinical Research Studies (4 papers) and Long-Term Effects of COVID-19 (4 papers). Yumeng Yao collaborates with scholars based in China, Czechia and Canada. Yumeng Yao's co-authors include Bijie Hu, Qingqing Wang, Zheyong Huang, Zhe Luo, Jiatian Cao, Kaihuan Yu, Jue Pan, Qingfeng Shi, Sisi Chen and Qing Miao and has published in prestigious journals such as Clinical Infectious Diseases, Theranostics and Social Indicators Research.

In The Last Decade

Yumeng Yao

19 papers receiving 1.3k citations

Hit Papers

Microbiological Diagnostic Performance of Metagenomic Nex... 2018 2026 2020 2023 2018 2020 200 400 600

Peers

Yumeng Yao
Susan E. Sharp United States
Bum Sik Chin South Korea
Daniel S. Chertow United States
Heimo Lagler Austria
C. Rapp France
Thuan Tong Tan Singapore
Susan E. Sharp United States
Yumeng Yao
Citations per year, relative to Yumeng Yao Yumeng Yao (= 1×) peers Susan E. Sharp

Countries citing papers authored by Yumeng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yumeng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumeng Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yumeng Yao. A scholar is included among the top collaborators of Yumeng 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 Yumeng Yao. Yumeng Yao 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.
Chen, Yu, Xiaoyu Yin, Jue Pan, et al.. (2025). Lung Microenvironment Among Patients with Nontuberculous Mycobacterial Pulmonary Disease by Metagenomic Sequencing Technique. Biomedicines. 13(4). 818–818. 1 indexed citations
3.
Wang, Leilei, Yu Chen, Qingqing Wang, et al.. (2024). Comparison of molecular testing methods for diagnosing non-tuberculous mycobacterial infections. European Journal of Clinical Microbiology & Infectious Diseases. 44(1). 109–116. 2 indexed citations
4.
Yao, Yumeng, et al.. (2023). Digital finance, technological innovation, and carbon dioxide emissions. Economic Analysis and Policy. 80. 482–494. 41 indexed citations
11.
Jin, Wenting, Yuyan Ma, Qingfeng Shi, et al.. (2021). Clinical features of and diagnostic approaches for abdominal tuberculosis: 5-year experience from a non-tuberculosis-designated hospital in China. Revista Española de Enfermedades Digestivas. 114(8). 461–467. 1 indexed citations
12.
Wang, Qingqing, Yumeng Yao, Zheyong Huang, et al.. (2021). Low CD4 T cell count predicts radiological progression in severe and critically ill COVID-19 patients: a case control study. Journal of Thoracic Disease. 13(8). 4723–4730. 3 indexed citations
13.
Yao, Yumeng, et al.. (2021). Investigating the Links Between Vaccination Against COVID-19 and Public Attitudes Toward Protective Countermeasures: Implications for Public Health. Frontiers in Public Health. 9. 702699–702699. 32 indexed citations
14.
Zhang, Xueqian, et al.. (2021). Risk Preference, Health Risk Perception, and Environmental Exposure Nexus: Evidence from Rural Women as Pig Breeders, China. Social Indicators Research. 162(1). 151–178. 6 indexed citations
15.
Wang, Qingqing, Qing Miao, Jue Pan, et al.. (2020). The clinical value of metagenomic next-generation sequencing in the microbiological diagnosis of skin and soft tissue infections. International Journal of Infectious Diseases. 100. 414–420. 37 indexed citations
16.
Jin, Wenting, Jue Pan, Qing Miao, et al.. (2020). Diagnostic accuracy of metagenomic next-generation sequencing for active tuberculosis in clinical practice at a tertiary general hospital. Annals of Translational Medicine. 8(17). 1065–1065. 23 indexed citations
18.
Huang, Zheyong, Jiatian Cao, Yumeng Yao, et al.. (2020). The effect of RAS blockers on the clinical characteristics of COVID-19 patients with hypertension. Annals of Translational Medicine. 8(7). 430–430. 59 indexed citations
19.
Yao, Yumeng, Jiatian Cao, Qingqing Wang, et al.. (2020). D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study. Journal of Intensive Care. 8(1). 49–49. 409 indexed citations breakdown →
20.
Miao, Qing, Yuyan Ma, Qingqing Wang, et al.. (2018). Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice. Clinical Infectious Diseases. 67(suppl_2). S231–S240. 602 indexed citations breakdown →

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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