Haiyan Yang

6.0k total citations · 1 hit paper
204 papers, 3.7k citations indexed

About

Haiyan Yang is a scholar working on Infectious Diseases, Molecular Biology and Oncology. According to data from OpenAlex, Haiyan Yang has authored 204 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Infectious Diseases, 72 papers in Molecular Biology and 32 papers in Oncology. Recurrent topics in Haiyan Yang's work include COVID-19 Clinical Research Studies (41 papers), Long-Term Effects of COVID-19 (26 papers) and Viral Infections and Immunology Research (25 papers). Haiyan Yang is often cited by papers focused on COVID-19 Clinical Research Studies (41 papers), Long-Term Effects of COVID-19 (26 papers) and Viral Infections and Immunology Research (25 papers). Haiyan Yang collaborates with scholars based in China, United States and United Kingdom. Haiyan Yang's co-authors include Guangcai Duan, Shuaiyin Chen, Yuefei Jin, Wangquan Ji, William Zhang, Weidong Wu, Yadong Wang, Guangcai Duan, Weiguo Zhang and Jie Xu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Haiyan Yang

193 papers receiving 3.6k citations

Hit Papers

Virology, Epidemiology, Pathogenesis, and Control of COVI... 2020 2026 2022 2024 2020 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
Haiyan Yang China 27 1.6k 1.0k 575 385 324 204 3.7k
Shuaiyin Chen China 27 1.3k 0.8× 745 0.7× 446 0.8× 220 0.6× 324 1.0× 124 3.1k
Zhancheng Gao China 22 935 0.6× 523 0.5× 548 1.0× 166 0.4× 314 1.0× 96 2.3k
Barnaby Edward Young Singapore 30 2.9k 1.9× 678 0.7× 771 1.3× 333 0.9× 602 1.9× 108 4.2k
Sitang Gong China 31 1.4k 0.9× 1.2k 1.2× 206 0.4× 365 0.9× 548 1.7× 151 4.2k
Yingxia Liu China 33 2.3k 1.4× 1.0k 1.0× 802 1.4× 475 1.2× 1.4k 4.3× 188 5.7k
Yuanhong Xu China 27 1.3k 0.8× 756 0.7× 413 0.7× 311 0.8× 635 2.0× 158 3.6k
Yuefei Jin China 23 1.2k 0.8× 538 0.5× 437 0.8× 182 0.5× 228 0.7× 78 2.7k
Guangcai Duan China 24 1.4k 0.9× 470 0.5× 492 0.9× 259 0.7× 298 0.9× 122 2.9k
Jieming Qu China 29 842 0.5× 1.6k 1.5× 373 0.6× 300 0.8× 587 1.8× 116 4.0k

Countries citing papers authored by Haiyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyan Yang. A scholar is included among the top collaborators of Haiyan Yang 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 Haiyan Yang. Haiyan Yang 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.
Long, Jinzhao, Q. C. Hu, Mengyue Liu, et al.. (2025). Current status of cyclopropane fatty acids on bacterial cell membranes characteristics and physiological functions. Microbial Pathogenesis. 200. 107295–107295. 6 indexed citations
2.
Xu, Jie, Yuan Li, Yuqing Hao, et al.. (2025). The Global Antimicrobial Resistance Trends of Staphylococcus aureus and Influencing Factors. Microbiology Research. 16(6). 118–118.
4.
Zhao, Haitao, Mengyue Liu, Jie Wu, et al.. (2024). Mortality and genetic diversity of antibiotic-resistant bacteria associated with bloodstream infections: a systemic review and genomic analysis. BMC Infectious Diseases. 24(1). 1385–1385. 4 indexed citations
5.
Wang, Yadong, Fang Liu, Guangcai Duan, et al.. (2024). The Application of Rat Models in Staphylococcus aureus Infections. Pathogens. 13(6). 434–434. 2 indexed citations
6.
Zhao, Yue, Danielle Cook, Seon Kinrot, et al.. (2024). Discovery of tumor-reactive T cell receptors by massively parallel library synthesis and screening. Nature Biotechnology. 43(2). 214–222. 19 indexed citations
7.
Song, Ke-wei, et al.. (2023). Ship energy-saving device: Influence of the scale effect and hull roughness on the resistance reduction effect of an interceptor. Ocean Engineering. 287. 115875–115875. 5 indexed citations
8.
Shi, Liqin, et al.. (2023). Comorbid asthma decreased the risk for COVID-19 mortality in the United Kingdom: Evidence based on a meta-analysis. International Immunopharmacology. 120. 110365–110365. 3 indexed citations
9.
Zhang, Peihua, Jian Wu, Shuaiyin Chen, et al.. (2023). Transmission of livestock-associated methicillin-resistant Staphylococcus aureus between animals, environment, and humans in the farm. Environmental Science and Pollution Research. 30(37). 86521–86539. 22 indexed citations
10.
Zhang, Yu, Shuaiyin Chen, Tiantian Sun, et al.. (2023). Abundant Neutrophil-Initiated Acute Myocardial Injury Following Coxsackievirus A6 Infection. The Journal of Infectious Diseases. 229(5). 1440–1450. 1 indexed citations
12.
Wang, Ying, et al.. (2022). Interstitial lung disease independently associated with higher risk for COVID-19 severity and mortality: A meta-analysis of adjusted effect estimates. International Immunopharmacology. 111. 109088–109088. 6 indexed citations
13.
Xu, Jie, et al.. (2022). HBV/HCV Infection Was Not Significantly Independently Associated with COVID-19 Severity: A Meta-Analysis of Confounding Variables-Adjusted Data. Digestive Diseases and Sciences. 68(5). 2161–2163. 2 indexed citations
14.
Wang, Ying, et al.. (2022). Cirrhosis is an independent predictor for COVID-19 mortality: A meta-analysis of confounding cofactors-controlled data. Journal of Hepatology. 78(1). e28–e31. 9 indexed citations
15.
Hou, Hongjie, Yang Li, Peihua Zhang, et al.. (2021). Smoking Is Independently Associated With an Increased Risk for COVID-19 Mortality: A Systematic Review and Meta-analysis Based on Adjusted Effect Estimates. Nicotine & Tobacco Research. 23(11). 1947–1951. 28 indexed citations
16.
Long, Jinzhao, et al.. (2021). Diversity of the type I-U CRISPR-Cas system in Bifidobacterium. Archives of Microbiology. 203(6). 3235–3243. 6 indexed citations
17.
Yang, Haiyan, et al.. (2021). Correspondence on ‘Prevalence and clinical outcomes of COVID-19 in patients with autoimmune diseases: a systematic review and meta-analysis'. Annals of the Rheumatic Diseases. 82(4). e79–e81. 8 indexed citations
18.
Wang, Ying, Li Shi, Yadong Wang, Guangcai Duan, & Haiyan Yang. (2020). Albumin and total bilirubin for severity and mortality in coronavirus disease 2019 patients. Journal of Clinical Laboratory Analysis. 34(7). e23412–e23412. 5 indexed citations
19.
Yang, Haiyan, et al.. (2020). Enteric pathogens associated with gastroenteritis among children under 5 years in sub-Saharan Africa: a systematic review and meta-analysis. Epidemiology and Infection. 148. e64–e64. 40 indexed citations
20.
Shi, Li, Ying Wang, Yadong Wang, Guangcai Duan, & Haiyan Yang. (2020). An updated meta‐analysis on the relationship between D‐dimer levels and severity of coronavirus disease 2019. International Journal of Laboratory Hematology. 42(5). e207–e210. 2 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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