Wei Sha

5.8k total citations
190 papers, 3.9k citations indexed

About

Wei Sha is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Wei Sha has authored 190 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Infectious Diseases, 58 papers in Epidemiology and 55 papers in Molecular Biology. Recurrent topics in Wei Sha's work include Tuberculosis Research and Epidemiology (59 papers), Mycobacterium research and diagnosis (43 papers) and Infectious Diseases and Tuberculosis (13 papers). Wei Sha is often cited by papers focused on Tuberculosis Research and Epidemiology (59 papers), Mycobacterium research and diagnosis (43 papers) and Infectious Diseases and Tuberculosis (13 papers). Wei Sha collaborates with scholars based in China, United States and Germany. Wei Sha's co-authors include David C. Nieman, Pedro Mendes, Antonio D. Lassaletta, Katherine Chen, Jill C. Sible, Jonathan D. Moore, John J. Tyson, Anthony A. Fodor, Dru A. Henson and Keying Ye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Wei Sha

174 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Sha China 32 1.8k 707 690 480 322 190 3.9k
Christopher M. Taylor United States 43 2.7k 1.5× 535 0.8× 777 1.1× 756 1.6× 177 0.5× 145 5.5k
Pei Pei Chong Malaysia 31 1.8k 1.0× 1.0k 1.5× 712 1.0× 241 0.5× 200 0.6× 136 4.0k
Yun Li China 40 2.7k 1.6× 653 0.9× 828 1.2× 454 0.9× 189 0.6× 179 5.8k
Xiao‐Ping Dong China 34 2.8k 1.6× 455 0.6× 712 1.0× 479 1.0× 248 0.8× 315 4.8k
Feng Li China 33 1.5k 0.9× 670 0.9× 588 0.9× 202 0.4× 148 0.5× 212 4.4k
Michael Kiehntopf Germany 39 1.7k 1.0× 366 0.5× 613 0.9× 1.0k 2.2× 346 1.1× 175 5.6k
Lei Wan Taiwan 38 1.4k 0.8× 590 0.8× 737 1.1× 256 0.5× 179 0.6× 199 5.0k
Andrea Urbani Italy 48 3.3k 1.9× 532 0.8× 682 1.0× 992 2.1× 424 1.3× 284 7.5k
Christopher Carpenter United States 20 2.4k 1.4× 862 1.2× 1.1k 1.6× 182 0.4× 453 1.4× 51 6.6k

Countries citing papers authored by Wei Sha

Since Specialization
Citations

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

Fields of papers citing papers by Wei Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Sha. A scholar is included among the top collaborators of Wei Sha 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 Wei Sha. Wei Sha 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.
Wang, Li, Yunfei Wang, Jinhui Yang, et al.. (2025). Nanopore-targeted sequencing: A new and effective technique for the diagnosis of non-tuberculous mycobacteria pulmonary disease. International Journal of Medical Microbiology. 320. 151663–151663.
3.
He, Yifan, et al.. (2024). Single-cell transcriptomics of blood identified IFIT1 neutrophil subcluster expansion in NTM-PD patients. International Immunopharmacology. 137. 112412–112412. 5 indexed citations
4.
Peng, Ying, Enzhuo Yang, Lìyǐng Zhū, et al.. (2024). CD137 expression and signal function drive pleiotropic γδ T-cell effector functions that inhibit intracellular M. tuberculosis growth. Clinical Immunology. 266. 110331–110331. 3 indexed citations
5.
Liu, Qingyun, Yixin Wang, Han Fu, et al.. (2024). An additional proofreader contributes to DNA replication fidelity in mycobacteria. Proceedings of the National Academy of Sciences. 121(34). e2322938121–e2322938121. 3 indexed citations
6.
Guo, Yinjuan, Jinghui Yang, Xiaocui Wu, et al.. (2023). Bedaquiline, Delamanid, Linezolid, Clofazimine, and Capreomycin MIC Distributions for Drug Resistance Mycobacterium tuberculosis in Shanghai, China. Infection and Drug Resistance. Volume 16. 7587–7595. 6 indexed citations
7.
Fang, Yong, et al.. (2023). Risk factors for microbiological persistence after 6 months of treatment for Mycobacterium intracellulare and its impact on the drug-resistance profile. Microbiology Spectrum. 11(5). e0080523–e0080523. 1 indexed citations
8.
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
9.
Sha, Wei, Chun‐Xu Xue, Wenjia Zhang, et al.. (2023). An IncN-ST7 epidemic plasmid mediates the dissemination of carbapenem-resistant Klebsiella pneumoniae in a neonatal intensive care unit in China over 10 years. International Journal of Antimicrobial Agents. 62(3). 106921–106921. 3 indexed citations
10.
Shen, Xiaona, et al.. (2023). Clinical Features of Nontuberculous Mycobacterial Pulmonary Disease in the Yangtze River Delta of China: A Single-Center, Retrospective, Observational Study. Tropical Medicine and Infectious Disease. 8(1). 50–50. 5 indexed citations
11.
Wei, Wei, Xiaocui Wu, Liping Cheng, et al.. (2022). Diagnostic performance of metagenomic next-generation sequencing in non-tuberculous mycobacterial pulmonary disease when applied to clinical practice. Infection. 51(2). 397–405. 14 indexed citations
13.
14.
Fang, Yong, Liping Cheng, Junhong Guo, et al.. (2020). Application of endobronchial ultrasound-guided transbronchial needle aspiration in the diagnosis and treatment of mediastinal lymph node tuberculous abscess: a case report and literature review. Journal of Cardiothoracic Surgery. 15(1). 331–331. 3 indexed citations
15.
Sun, Qin, et al.. (2019). Genetic Polymorphisms in Antioxidant Enzymes Modulate the Susceptibility of Idiosyncratic Antituberculous Drug‐Induced Liver Injury and Treatment Outcomes in Patients with Tuberculosis. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 40(1). 4–16. 7 indexed citations
17.
Cialdella‐Kam, Lynn, David C. Nieman, Amy M. Knab, et al.. (2016). A Mixed Flavonoid-Fish Oil Supplement Induces Immune-Enhancing and Anti-Inflammatory Transcriptomic Changes in Adult Obese and Overweight Women—A Randomized Controlled Trial. Nutrients. 8(5). 277–277. 33 indexed citations
18.
Liu, Yidian, Ruijuan Zheng, Heping Xiao, et al.. (2011). [Study on the correlation between polymorphisms of genes with susceptibility to tuberculosis and drug-resistant tuberculosis in Chinese Han population].. PubMed. 32(3). 279–84. 5 indexed citations
19.
Sha, Wei, et al.. (2008). The Observation of Morphology on Costa of 24 Species of Polytrichaceae after Separating in China. 26(2). 124–128. 1 indexed citations
20.
Sha, Wei, et al.. (2002). A CYTOLOGICAL OBSERVATION ON 6 LIVERWORTS SPECIES FROM NORTHEAST CHINA. Zhiwu yanjiu. 22(4). 453. 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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