Lan Yao

3.6k total citations
138 papers, 2.4k citations indexed

About

Lan Yao is a scholar working on Infectious Diseases, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Lan Yao has authored 138 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Infectious Diseases, 26 papers in Epidemiology and 19 papers in Economics and Econometrics. Recurrent topics in Lan Yao's work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (19 papers) and Healthcare Systems and Reforms (16 papers). Lan Yao is often cited by papers focused on Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (19 papers) and Healthcare Systems and Reforms (16 papers). Lan Yao collaborates with scholars based in China, United States and Hong Kong. Lan Yao's co-authors include Donna L. Algase, Elizabeth Beattie, Xiaohui Hao, Shenjie Tang, Sarah Barber, Yidian Liu, Qiang Yao, Zhanjun Zhang, Kun Peng and Stelios T. Andreadis and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Lan Yao

131 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lan Yao China	27	654	490	335	335	328	138	2.4k
Kun Tang China	23	549 0.8×	374 0.8×	474 1.4×	428 1.3×	288 0.9×	167	2.8k
Benn Sartorius South Africa	33	692 1.1×	800 1.6×	353 1.1×	631 1.9×	137 0.4×	212	4.3k
Simon M. Collin United Kingdom	32	445 0.7×	604 1.2×	260 0.8×	502 1.5×	228 0.7×	150	3.4k
Antonio Bernabé‐Ortiz Peru	37	414 0.6×	720 1.5×	278 0.8×	972 2.9×	305 0.9×	267	4.9k
Gabriel Rada Chile	27	592 0.9×	421 0.9×	304 0.9×	907 2.7×	164 0.5×	169	3.7k
G Joubert South Africa	27	355 0.5×	478 1.0×	396 1.2×	630 1.9×	292 0.9×	373	3.5k
Nazrul Islam United Kingdom	31	598 0.9×	635 1.3×	136 0.4×	480 1.4×	496 1.5×	152	3.4k
Jin Yong Lee South Korea	33	236 0.4×	407 0.8×	197 0.6×	492 1.5×	191 0.6×	270	3.4k
Chakib Nejjari Morocco	33	291 0.4×	703 1.4×	520 1.6×	399 1.2×	308 0.9×	286	4.1k
Asha Kamath India	32	209 0.3×	507 1.0×	358 1.1×	369 1.1×	255 0.8×	294	3.6k

Countries citing papers authored by Lan Yao

Since Specialization

Citations

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

Fields of papers citing papers by Lan Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Yao

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

All Works

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20 of 20 papers shown

Cao, Yanhong, Dan Wei, Minghui Li, et al.. (2025). Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example. Ecotoxicology and Environmental Safety. 291. 117805–117805. 1 indexed citations

Li, Yilan, Chengyuan Yang, Minghui Li, et al.. (2025). AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o. Journal of Medical Internet Research. 27. e66161–e66161. 1 indexed citations

Li, Zixuan, Jun Deng, Ping Yin, et al.. (2024). New ABL1 Kinase Domain Mutations in BCR::ABL1‐Positive Acute Lymphoblastic Leukemia. Cancer Medicine. 13(20). e70317–e70317. 1 indexed citations

Liu, Aiqin, Yaming Yang, Xiaoxue Peng, et al.. (2024). Occurrence rate and species and subtypes of Cryptosporidium spp. in pet dogs in Yunnan Province, China. BMC Microbiology. 24(1). 354–354.

Yao, Lan, Xiaocui Wu, Jinghui Yang, et al.. (2023). Rapid Identification of Nontuberculous Mycobacterium Species from Respiratory Specimens Using Nucleotide MALDI-TOF MS. Microorganisms. 11(8). 1975–1975. 7 indexed citations

Qiu, Zenghui, et al.. (2023). Financial toxicity assessment and associated factors analysis of patients with cancer in China. Supportive Care in Cancer. 31(5). 264–264. 11 indexed citations

Liu, Yidian, et al.. (2022). Factors Influencing False-Negative Results of QuantiFERON-TB Gold In-Tube (QFT-GIT) in Active Tuberculosis and the Desirability of Resetting Cutoffs for Different Populations: A Retrospective Study. Tropical Medicine and Infectious Disease. 7(10). 278–278. 4 indexed citations

Li, Jing, Lishi Wang, Ning Xie, et al.. (2020). The Data set for Patient Information Based Algorithm to Predict Mortality Cause by COVID-19. SHILAP Revista de lepidopterología. 30. 105619–105619. 9 indexed citations

Wu, Xiaocui, Lan Yao, Dexi Bi, et al.. (2019). Assessment of the Xpert MTB/RIF Ultra assay on rapid diagnosis of extrapulmonary tuberculosis. International Journal of Infectious Diseases. 81. 91–96. 58 indexed citations

10.

Fan, Lin, et al.. (2017). Impairment of Wnt/β-catenin signaling in blood cells of patients with severe cavitary pulmonary tuberculosis. PLoS ONE. 12(3). e0172549–e0172549. 11 indexed citations

11.

Yao, Lan, Qing Zhang, Yidan Liu, & Heping Xiao. (2017). Pyrazinamide resistance in MDR and extensively drug-resistant tuberculosis. Biomedical Research-tokyo. 28(8). 3532–3536. 1 indexed citations

12.

Yao, Lan, et al.. (2017). Establishment of simulating three-dimensional model of China-Japan Friendship Hospital Classification for L type osteonecrosis of the femoral head. Zhongguo zuzhi gongcheng yanjiu yu linchuang kangfu. 21(7). 1074–1079. 1 indexed citations

13.

Chen, Shanquan, Yao Pan, Qiang Yao, et al.. (2014). Department of Error. The Lancet. 384(9947). 956–956. 2 indexed citations

14.

Hao, Xiaohui, et al.. (2014). [A cohort study on the outcome of multidrug-resistant tuberculosis in elderly patients].. PubMed. 37(3). 188–91. 1 indexed citations

15.

Li, Xiang, et al.. (2011). Insights on multi-institution practice for physicians of public hospitals. Zhonghua yiyuan guanli zazhi. 27(3). 164–166. 1 indexed citations

16.

Yao, Lan, et al.. (2011). Investigation of maternal care utilization rate for women in minority areas. Zhonghua yiyuan guanli zazhi. 27(9). 708–711. 3 indexed citations

17.

Huang, Jin, et al.. (2010). Determination of best cut off value of magnetic particle antibody of immunoassay (MPAIA) in diagnosis of schistosomiasis by receiver operating characteristic (ROC) curve analysis.. 22(4). 360–363. 1 indexed citations

18.

Yao, Lan. (2009). A study on the limiting expenses payment of a single disease in Qianjiang district Chongqing city. 3 indexed citations

19.

Yao, Lan. (2007). Discussion on Cause of Formation and Counter Measures of University Students′ Network Addict. 1 indexed citations

20.

Yao, Lan. (2006). Design for scale control of subway station.

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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