Wan-mei Song

738 total citations
27 papers, 455 citations indexed

About

Wan-mei Song is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Wan-mei Song has authored 27 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 14 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Wan-mei Song's work include Tuberculosis Research and Epidemiology (19 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers) and Diagnosis and treatment of tuberculosis (6 papers). Wan-mei Song is often cited by papers focused on Tuberculosis Research and Epidemiology (19 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers) and Diagnosis and treatment of tuberculosis (6 papers). Wan-mei Song collaborates with scholars based in China, United Kingdom and Hong Kong. Wan-mei Song's co-authors include Huaichen Li, Jinyue Liu, Ningning Tao, Yifan Li, Shi-jin Li, Yao Liu, Tingting Xu, Qi-qi An, Yao Liu and Yifan Li and has published in prestigious journals such as Scientific Reports, Environment International and BMC Public Health.

In The Last Decade

Wan-mei Song

26 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wan-mei Song China 13 252 167 128 103 40 27 455
Ningning Tao China 14 255 1.0× 182 1.1× 76 0.6× 110 1.1× 108 2.7× 36 501
Alexander J. Millman United States 13 151 0.6× 308 1.8× 66 0.5× 50 0.5× 29 0.7× 42 514
Sanjay Rajpal India 11 121 0.5× 68 0.4× 75 0.6× 87 0.8× 54 1.4× 27 349
Eduardo Hernández‐Garduño Canada 9 332 1.3× 246 1.5× 41 0.3× 113 1.1× 23 0.6× 21 456
Liza Bronner Murrison United States 11 144 0.6× 117 0.7× 90 0.7× 27 0.3× 49 1.2× 16 496
Peng Lü China 12 229 0.9× 163 1.0× 50 0.4× 122 1.2× 21 0.5× 51 441
Bilin Tao China 11 89 0.4× 56 0.3× 70 0.5× 35 0.3× 28 0.7× 33 277
Crystal M. North United States 14 97 0.4× 90 0.5× 58 0.5× 19 0.2× 125 3.1× 40 439
Endawoke Amsalu Australia 8 95 0.4× 96 0.6× 122 1.0× 14 0.1× 9 0.2× 11 330
Suresh Kumar Rathi India 11 81 0.3× 148 0.9× 77 0.6× 39 0.4× 7 0.2× 44 443

Countries citing papers authored by Wan-mei Song

Since Specialization
Citations

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

Fields of papers citing papers by Wan-mei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan-mei Song. 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 Wan-mei Song. The network helps show where Wan-mei Song may publish in the future.

Co-authorship network of co-authors of Wan-mei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wan-mei Song. A scholar is included among the top collaborators of Wan-mei Song 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 Wan-mei Song. Wan-mei Song 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.
Yang, Qingyuan, et al.. (2024). PANoptosis, an indicator of COVID-19 severity and outcomes. Briefings in Bioinformatics. 25(3). 6 indexed citations
3.
Li, Yifan, Xianglong Kong, Wan-mei Song, et al.. (2023). Transmission dynamics and phylogeography of Mycobacterium tuberculosis in China based on whole-genome phylogenetic analysis. International Journal of Infectious Diseases. 140. 124–131. 5 indexed citations
4.
Li, Yifan, Xianglong Kong, Wan-mei Song, et al.. (2023). Genomic analysis of lineage-specific transmission of multidrug resistance tuberculosis in China. Emerging Microbes & Infections. 13(1). 2294858–2294858. 7 indexed citations
5.
Zhang, Qianyun, Wan-mei Song, Siqi Liu, et al.. (2022). An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018. Frontiers in Public Health. 9. 766362–766362. 19 indexed citations
6.
Tao, Ningning, Wan-mei Song, Qi-qi An, et al.. (2022). Association between diagnostic delay and prognosis of pulmonary tuberculosis in Shandong, China: a retrospective study. BMC Pulmonary Medicine. 22(1). 309–309. 4 indexed citations
7.
8.
Song, Wan-mei, Yifan Li, Yunxia Liu, et al.. (2021). Drug-Resistant Tuberculosis Among Children: A Systematic Review and Meta-Analysis. Frontiers in Public Health. 9. 721817–721817. 16 indexed citations
9.
Song, Wan-mei, Jing Guo, Tingting Xu, et al.. (2021). Association between body mass index and newly diagnosed drug-resistant pulmonary tuberculosis in Shandong, China from 2004 to 2019. BMC Pulmonary Medicine. 21(1). 399–399. 12 indexed citations
10.
Ma, Xiaobin, Wan-mei Song, Yifan Li, et al.. (2021). Using a risk model for probability of cancer in pulmonary nodules. Thoracic Cancer. 12(12). 1881–1889. 5 indexed citations
11.
Song, Wan-mei, Yi Liu, Tingting Xu, et al.. (2021). Ambient air pollutants, diabetes and risk of newly diagnosed drug-resistant tuberculosis. Ecotoxicology and Environmental Safety. 219. 112352–112352. 4 indexed citations
12.
Song, Wan-mei, Jingyu Zhao, Qianyun Zhang, et al.. (2021). COVID-19 and Tuberculosis Coinfection: An Overview of Case Reports/Case Series and Meta-Analysis. Frontiers in Medicine. 8. 657006–657006. 58 indexed citations
13.
Li, Shi-jin, Yifan Li, Wan-mei Song, et al.. (2021). Population aging and trends of pulmonary tuberculosis incidence in the elderly. BMC Infectious Diseases. 21(1). 302–302. 35 indexed citations
14.
Song, Wan-mei, Yifan Li, Jinyue Liu, et al.. (2020). Drug resistance of previously treated tuberculosis patients with diabetes mellitus in Shandong, China. Respiratory Medicine. 163. 105897–105897. 12 indexed citations
15.
Yang, Dongmei, Jinyue Liu, Ningning Tao, et al.. (2020). Association between economic development level and tuberculosis registered incidence in Shandong, China. BMC Public Health. 20(1). 1557–1557. 12 indexed citations
16.
An, Qi-qi, Wan-mei Song, Jinyue Liu, et al.. (2020). <p>Primary Drug-Resistance Pattern and Trend in Elderly Tuberculosis Patients in Shandong, China, from 2004 to 2019</p>. Infection and Drug Resistance. Volume 13. 4133–4145. 15 indexed citations
17.
Song, Wan-mei, Yifan Li, Xiaobin Ma, et al.. (2019). Primary drug resistance of mycobacterium tuberculosis in Shandong, China, 2004–2018. Respiratory Research. 20(1). 223–223. 37 indexed citations
18.
Liu, Jinyue, Yifan Li, Jun Li, et al.. (2019). Association between ambient PM2.5 and children’s hospital admissions for respiratory diseases in Jinan, China. Environmental Science and Pollution Research. 26(23). 24112–24120. 32 indexed citations
19.
Song, Wan-mei, Yang Shao, Jinyue Liu, et al.. (2019). <p>Primary drug resistance among tuberculosis patients with diabetes mellitus: a retrospective study among 7223 cases in China</p>. Infection and Drug Resistance. Volume 12. 2397–2407. 18 indexed citations
20.
Tao, Ningning, Yifan Li, Yunxia Liu, et al.. (2019). Epidemiological characteristics of pulmonary tuberculosis in Shandong, China, 2005–2017. Medicine. 98(21). e15778–e15778. 8 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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