Yu Pang

7.5k total citations · 1 hit paper
256 papers, 4.9k citations indexed

About

Yu Pang is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Yu Pang has authored 256 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Infectious Diseases, 150 papers in Epidemiology and 63 papers in Surgery. Recurrent topics in Yu Pang's work include Tuberculosis Research and Epidemiology (164 papers), Mycobacterium research and diagnosis (121 papers) and Infectious Diseases and Tuberculosis (44 papers). Yu Pang is often cited by papers focused on Tuberculosis Research and Epidemiology (164 papers), Mycobacterium research and diagnosis (121 papers) and Infectious Diseases and Tuberculosis (44 papers). Yu Pang collaborates with scholars based in China, United States and United Kingdom. Yu Pang's co-authors include Yanlin Zhao, Yuxian Zhu, Yong‐Mei Qin, Fengmin Huo, Jie Lu, Hairong Huang, Yuanyuan Shang, Shaofa Xu, Wei Shu and Mengqiu Gao and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Yu Pang

240 papers receiving 4.8k citations

Hit Papers

National Survey of Drug-Resistant Tuberculosis in China 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Pang China 36 2.6k 2.3k 1.4k 1.1k 602 256 4.9k
Guido Fadda Italy 46 981 0.4× 1.4k 0.6× 1.1k 0.8× 2.7k 2.4× 129 0.2× 299 7.4k
Hiroshi Suzuki Japan 49 2.0k 0.7× 3.2k 1.4× 1.9k 1.4× 1.4k 1.2× 159 0.3× 387 8.7k
Ulrike Schumacher Germany 33 1.8k 0.7× 1.8k 0.8× 682 0.5× 304 0.3× 290 0.5× 93 4.0k
Harold Tjalsma Netherlands 53 865 0.3× 842 0.4× 4.3k 3.1× 527 0.5× 438 0.7× 103 9.6k
Hong Zhang China 40 1.7k 0.6× 1.6k 0.7× 1.7k 1.2× 220 0.2× 212 0.4× 252 5.5k
Hsiao‐Sheng Liu Taiwan 56 3.6k 1.4× 1.9k 0.8× 3.3k 2.4× 625 0.6× 295 0.5× 296 10.4k
Juan Chen China 36 2.0k 0.8× 1.3k 0.6× 2.1k 1.5× 485 0.4× 180 0.3× 244 7.3k
Dong‐Min Kim South Korea 34 1.3k 0.5× 511 0.2× 1.0k 0.7× 287 0.3× 309 0.5× 290 4.3k
Bhanu Sinha Netherlands 43 2.4k 0.9× 1.3k 0.6× 2.4k 1.8× 757 0.7× 109 0.2× 135 6.0k
Edward D. Chan United States 55 2.7k 1.0× 3.3k 1.4× 1.9k 1.4× 1.3k 1.1× 111 0.2× 210 8.6k

Countries citing papers authored by Yu Pang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Pang. A scholar is included among the top collaborators of Yu Pang 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 Yu Pang. Yu Pang 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.
Sun, Qingfeng, Shanshan Li, Weicong Ren, et al.. (2025). Discovering Biomarkers for Asymptomatic Tuberculosis via Olink Proteomics and Machine Learning. Journal of Proteome Research. 24(11). 5617–5627.
3.
Zhang, Fuzhen, et al.. (2024). The impact of maximum cross-sectional area of lesion on predicting the early therapeutic response of multidrug-resistant tuberculosis. Journal of Infection and Public Health. 18(2). 102628–102628. 1 indexed citations
4.
Wang, Yu, Huihuang Lin, Anqi Yang, et al.. (2024). Rapid and sensitive diagnosis of live Mycobacterium tuberculosis using clustered regularly interspaced short palindromic repeat‐Cas13a point‐of‐care RNA testing. SHILAP Revista de lepidopterología. 5(3). 3 indexed citations
5.
Wu, Guihui, Yuanyuan Shang, Yufeng Wang, et al.. (2024). Early bactericidal activity of sitafloxacin against pulmonary tuberculosis. Microbiology Spectrum. 13(1). e0164524–e0164524. 1 indexed citations
6.
Li, Hao, Qingfeng Liang, Xuchen Zhang, et al.. (2023). A novel chemokine biomarker to distinguish active tuberculosis from latent tuberculosis: a cohort study. QJM. 116(12). 1002–1009. 10 indexed citations
7.
Ren, Weicong, You Zhou, Haoran Li, et al.. (2023). Development and clinical evaluation of a CRISPR/Cas13a-based diagnostic test to detect Mycobacterium tuberculosis in clinical specimens. Frontiers in Microbiology. 14. 1117085–1117085. 25 indexed citations
8.
Yang, Erqi, Yu Pang, Haobo Yang, et al.. (2023). An Efficient, Fast‐Responding, Low‐Loss Thermo‐Optic Phase Shifter Based on a Hydrogen‐Doped Indium Oxide Microheater. Laser & Photonics Review. 17(9). 18 indexed citations
9.
Huang, Mingxiang, Yaoju Tan, Xuxia Zhang, et al.. (2022). Effect of Mixed Infections with Mycobacterium tuberculosis and Nontuberculous Mycobacteria on Diagnosis of Multidrug-Resistant Tuberculosis: A Retrospective Multicentre Study in China. Dove Medical Press (Taylor and Francis Group). 12 indexed citations
10.
Li, Guoquan, et al.. (2022). Resource allocation for sum-rate maximization in NOMA-based generalized spatial modulation. Digital Communications and Networks. 8(6). 1077–1084. 11 indexed citations
11.
Chai, Qiyao, Yanzhao Zhong, Zhe Lü, et al.. (2022). A bacterial phospholipid phosphatase inhibits host pyroptosis by hijacking ubiquitin. Science. 378(6616). eabq0132–eabq0132. 99 indexed citations
12.
Wang, Jing, Pupu Ge, Zehui Lei, et al.. (2021). Mycobacterium tuberculosis protein kinase G acts as an unusual ubiquitinating enzyme to impair host immunity. EMBO Reports. 22(6). e52175–e52175. 33 indexed citations
13.
Ren, Weicong, Haiping Guo, Fengmin Huo, et al.. (2021). Comparative in vitro susceptibility of a novel fluoroquinolone antibiotic candidate WFQ-228, levofloxacin, and moxifloxacin against Mycobacterium tuberculosis. International Journal of Infectious Diseases. 106. 295–299. 2 indexed citations
14.
Lin, Yao, Peijun Tang, Hui Jiang, et al.. (2021). Household Clusters of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) Infection in Suzhou, China. BioMed Research International. 2021(1). 5565549–5565549.
15.
Tu, Tian Ming, Claire Goh, Ying Kiat Tan, et al.. (2020). Cerebral Venous Thrombosis in Patients with COVID-19 Infection: a Case Series and Systematic Review. Journal of Stroke and Cerebrovascular Diseases. 29(12). 105379–105379. 70 indexed citations
16.
Gao, Hui, et al.. (2017). Nosocomial Infection Surveillance in a Tuberculosis Specialized Hospital in China.. PubMed. 30(9). 691–694. 2 indexed citations
17.
Pang, Yu, et al.. (2016). Analysis on drug resistance-associated mutation among multi-drug resistant tuberculosis strains in China. 38(2). 116–121. 1 indexed citations
18.
Wang, Shengfen, et al.. (2015). Epidemic characteristics of Mycobacterium tuberculosis of Beijing genotype strains and its association with drug resistance——Analysis of the data from national drug resistant tuberculosis baseline survey in 2007. 37(8). 836–842. 2 indexed citations
19.
Pang, Yu, et al.. (2012). A Method for Identifying Slope Aspect Information of Mountain Altitudinal Belts. Journal of Mountain Science. 30(3). 290–298. 2 indexed citations
20.
Pang, Chaoyou, Hui Wang, Yu Pang, et al.. (2010). Comparative Proteomics Indicates That Biosynthesis of Pectic Precursors Is Important for Cotton Fiber and Arabidopsis Root Hair Elongation. Molecular & Cellular Proteomics. 9(9). 2019–2033. 155 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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