Lingyun Shao

2.9k total citations
100 papers, 2.0k citations indexed

About

Lingyun Shao is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Lingyun Shao has authored 100 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Epidemiology, 57 papers in Infectious Diseases and 31 papers in Surgery. Recurrent topics in Lingyun Shao's work include Tuberculosis Research and Epidemiology (49 papers), Mycobacterium research and diagnosis (33 papers) and Infectious Diseases and Tuberculosis (22 papers). Lingyun Shao is often cited by papers focused on Tuberculosis Research and Epidemiology (49 papers), Mycobacterium research and diagnosis (33 papers) and Infectious Diseases and Tuberculosis (22 papers). Lingyun Shao collaborates with scholars based in China, United States and Germany. Lingyun Shao's co-authors include Wenhong Zhang, Jing Wu, Yan Gao, Xinhua Weng, Sen Wang, Qiaoling Ruan, Zheng W. Chen, Wenhong Zhang, Jiazhen Chen and Jialin Jin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Lingyun Shao

89 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lingyun Shao China 27 1.1k 994 561 488 289 100 2.0k
Christiane S. Eberhardt Switzerland 25 873 0.8× 595 0.6× 180 0.3× 606 1.2× 312 1.1× 55 2.2k
I Ocaña Spain 31 1.1k 1.0× 934 0.9× 477 0.9× 126 0.3× 222 0.8× 89 2.4k
Narinder K. Mehra India 32 669 0.6× 679 0.7× 361 0.6× 1.4k 2.8× 369 1.3× 104 2.7k
JoAnn M. Mican United States 29 1.9k 1.7× 807 0.8× 299 0.5× 1.6k 3.2× 389 1.3× 48 4.1k
Radha Railkar United States 18 274 0.3× 2.2k 2.2× 897 1.6× 412 0.8× 228 0.8× 35 2.7k
Ulrich Baumann Germany 23 222 0.2× 536 0.5× 322 0.6× 562 1.2× 265 0.9× 93 1.7k
Katharina Grabmeier‐Pfistershammer Austria 29 399 0.4× 715 0.7× 213 0.4× 1.3k 2.7× 333 1.2× 86 2.6k
Minako Hijikata Japan 24 728 0.7× 533 0.5× 160 0.3× 413 0.8× 271 0.9× 71 1.6k
Nathella Pavan Kumar India 25 1.7k 1.5× 1.1k 1.1× 660 1.2× 758 1.6× 417 1.4× 85 2.4k
Laurence Weiss France 42 1.9k 1.7× 1.3k 1.3× 257 0.5× 2.7k 5.4× 425 1.5× 140 5.6k

Countries citing papers authored by Lingyun Shao

Since Specialization
Citations

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

Fields of papers citing papers by Lingyun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyun Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyun Shao. A scholar is included among the top collaborators of Lingyun Shao 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 Lingyun Shao. Lingyun Shao 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.
2.
Zhou, Jingyu, Peidong Chen, Ting Wang, et al.. (2025). A Novel Compound Heterozygous Mutation in the IL12RB1 Gene Causes Susceptibility To Mycobacterium Tilburgii Infection. Journal of Clinical Immunology. 45(1). 133–133.
3.
Ge, Shijia, Kui Liu, Zhen Feng, et al.. (2025). Prevalence, Progression, and Treatment of Asymptomatic Tuberculosis: A Prospective Cohort Study in Lanxi County, Zhejiang Province, China. Open Forum Infectious Diseases. 12(5). ofaf275–ofaf275.
4.
Yang, Qian, Zihui Tang, Han Han, et al.. (2024). Alveolar epithelial cells shape lipopolysaccharide‐induced inflammatory responses and reprogramming of alveolar macrophages. European Journal of Immunology. 55(1). e2350378–e2350378.
5.
Ruan, Qiaoling, et al.. (2024). Novel Thrice-Weekly Isoniazid plus Rifapentine Short-Course Regimen for the Treatment of Latent Tuberculosis Infection in a Murine Model. SHILAP Revista de lepidopterología. 4(3). 138–141. 1 indexed citations
6.
7.
Peng, Yubing, Yuzhen Xu, Jing Wu, et al.. (2022). Establishment of a Risk Score Model for Early Prediction of Severe H1N1 Influenza. Frontiers in Cellular and Infection Microbiology. 11. 776840–776840. 6 indexed citations
8.
Yang, Tao, Haocheng Zhang, Yuzhen Xu, et al.. (2021). Biomarker screening and validation for the differentiation of bloodstream infection from adult-onset Still’s disease: A prospective cohort study. Cytokine. 146. 155642–155642. 9 indexed citations
9.
Wang, Jie, Yiqi Yu, Chao Qiu, et al.. (2020). Maternal antiviral treatment safeguards infants from hepatitis B transmission in contingencies of delayed immunoprophylaxis. Liver International. 40(10). 2377–2384. 2 indexed citations
10.
Ruan, Qiaoling, Xuefeng Liu, Jing Wu, et al.. (2020). Efficacy and safety of weekly rifapentine and isoniazid for tuberculosis prevention in Chinese silicosis patients: a randomized controlled trial. Clinical Microbiology and Infection. 27(4). 576–582. 16 indexed citations
11.
Hu, Qiongyi, Jieyu Gu, Guannan Geng, et al.. (2019). Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis. Frontiers in Immunology. 9. 3099–3099. 32 indexed citations
12.
Yu, Yiqi, Chuan Shen, Siming Chen, et al.. (2018). Natural history of serum HBV‐RNA in chronic HBV infection. Journal of Viral Hepatitis. 25(9). 1038–1047. 63 indexed citations
13.
Zhang, Bingyan, Qianqian Liu, Wei Zhang, et al.. (2018). Diagnostic value of T cells spot test of tuberculosis infection on blood and cerebrospinal fluid for tuberculous meningitis. 36(10). 622–626. 1 indexed citations
14.
Wang, Sen, Yang Li, Yaojie Shen, et al.. (2018). Screening and identification of a six-cytokine biosignature for detecting TB infection and discriminating active from latent TB. Journal of Translational Medicine. 16(1). 206–206. 29 indexed citations
15.
Liu, Yuanyuan, Qianqian Liu, Yan Gao, et al.. (2017). The expressions and roles of different forms of IL-22 in Mycobacterium tuberculosis infection. Tuberculosis. 107. 95–103. 4 indexed citations
16.
Liu, Xuefeng, Qiaoling Ruan, Lingyun Shao, et al.. (2015). The tuberculosis prevalence and risk factors among silicotic patients. 33(5). 276–280. 2 indexed citations
17.
Zhang, Yongrong, et al.. (2012). Immunotherapy using IL-2 and GM-CSF is a potential treatment for multidrug-resistant Mycobacterium tuberculosis. Science China Life Sciences. 55(9). 800–806. 21 indexed citations
18.
Shao, Lingyun, Dan Huang, Huiyong Wei, et al.. (2009). Expansion, Reexpansion, and Recall-Like Expansion of Vγ2Vδ2 T Cells in Smallpox Vaccination and Monkeypox Virus Infection. Journal of Virology. 83(22). 11959–11965. 28 indexed citations
19.
Ali, Zahida, Lingyun Shao, Lisa Halliday, et al.. (2007). Prolonged ( E )-4-Hydroxy-3-Methyl-But-2-Enyl Pyrophosphate-Driven Antimicrobial and Cytotoxic Responses of Pulmonary and Systemic Vγ2Vδ2 T Cells in Macaques. The Journal of Immunology. 179(12). 8287–8296. 63 indexed citations
20.
Shao, Lingyun, Xisheng Weng, Z. Hu, et al.. (2005). Variants of the Natural Resistance-Associated Macrophage Protein 1 Gene (NRAMP1) Are Associated with Severe Forms of Pulmonary Tuberculosis. Clinical Infectious Diseases. 40(9). 1232–1236. 49 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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