Boping Du

488 total citations
30 papers, 353 citations indexed

About

Boping Du is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Boping Du has authored 30 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 21 papers in Epidemiology and 14 papers in Surgery. Recurrent topics in Boping Du's work include Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (16 papers) and Infectious Diseases and Tuberculosis (10 papers). Boping Du is often cited by papers focused on Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (16 papers) and Infectious Diseases and Tuberculosis (10 papers). Boping Du collaborates with scholars based in China. Boping Du's co-authors include Aiying Xing, Hongyan Jia, Zongde Zhang, Qi Sun, Liping Pan, Rongrong Wei, Mengqiu Gao, Fei Liu, Xia Zhang and Zihui Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Infection and Immunity.

In The Last Decade

Boping Du

28 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boping Du China 12 244 184 156 77 33 30 353
Aiying Xing China 13 270 1.1× 208 1.1× 158 1.0× 108 1.4× 39 1.2× 34 391
Jamie Harper United States 6 245 1.0× 166 0.9× 109 0.7× 77 1.0× 51 1.5× 7 328
Xirong Wu China 14 290 1.2× 231 1.3× 162 1.0× 72 0.9× 112 3.4× 28 486
Shanmugam Sivakumar India 13 284 1.2× 200 1.1× 126 0.8× 74 1.0× 72 2.2× 21 373
Philippa Randall South Africa 9 201 0.8× 142 0.8× 105 0.7× 37 0.5× 74 2.2× 16 301
Qinjing Li China 11 194 0.8× 201 1.1× 96 0.6× 42 0.5× 13 0.4× 14 258
Nguyen Thi Le Hang Vietnam 13 401 1.6× 286 1.6× 166 1.1× 85 1.1× 91 2.8× 25 502
Erin E. Smith United States 8 360 1.5× 314 1.7× 136 0.9× 39 0.5× 118 3.6× 8 459
Sayma Rahman Sweden 7 227 0.9× 147 0.8× 72 0.5× 54 0.7× 148 4.5× 8 341
Ho Eun Chang South Korea 10 126 0.5× 230 1.3× 53 0.3× 82 1.1× 30 0.9× 35 399

Countries citing papers authored by Boping Du

Since Specialization
Citations

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

Fields of papers citing papers by Boping Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boping Du

This figure shows the co-authorship network connecting the top 25 collaborators of Boping Du. A scholar is included among the top collaborators of Boping Du 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 Boping Du. Boping Du 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.
Dong, Jing, Ruixue Song, Yingchao Wang, et al.. (2024). Identification of important modules and biomarkers in tuberculosis based on WGCNA. Frontiers in Microbiology. 15. 1354190–1354190. 2 indexed citations
2.
Li, Zihui, Bing Wang, Boping Du, et al.. (2024). The incremental value of Mycobacterium tuberculosis trace nucleic acid detection in CT-guided percutaneous biopsy needle rinse solutions for the diagnosis of tuberculosis. Frontiers in Microbiology. 15. 1335526–1335526. 1 indexed citations
3.
Deng, Ling, Boping Du, Aiying Xing, et al.. (2024). T-cell receptor and B-cell receptor repertoires profiling in pleural tuberculosis. Frontiers in Immunology. 15. 1473486–1473486.
4.
Li, Wensheng, Weibi Chen, Qi Sun, et al.. (2022). Identification of protein biomarkers in host cerebrospinal fluid for differential diagnosis of tuberculous meningitis and other meningitis. Frontiers in Neurology. 13. 886040–886040. 6 indexed citations
5.
Xing, Aiying, Zihui Li, Liping Pan, et al.. (2022). Rapid Detection of Mycobacterium tuberculosis in Pleural Fluid Using Resuscitation-Promoting Factor-Based Thin Layer Agar Culture Method. Frontiers in Microbiology. 13. 803521–803521. 2 indexed citations
6.
Pan, Liping, Hongyan Jia, Guofang Deng, et al.. (2022). Diagnostic Performance of a Novel CXCL10 mRNA Release Assay for Mycobacterium tuberculosis Infection. Frontiers in Microbiology. 13. 825413–825413. 3 indexed citations
7.
Yang, Xinting, Jing Zhang, Liping Pan, et al.. (2021). Use of T-SPOT.TB for the diagnosis of unconventional pleural tuberculosis is superior to ADA in high prevalence areas: a prospective analysis of 601 cases. BMC Infectious Diseases. 21(1). 4–4. 15 indexed citations
9.
Pan, Liping, Fei Liu, Jin-Li Zhang, et al.. (2019). Genome-Wide miRNA Analysis Identifies Potential Biomarkers in Distinguishing Tuberculous and Viral Meningitis. Frontiers in Cellular and Infection Microbiology. 9. 323–323. 21 indexed citations
10.
Xie, Li, Yonghong Zhang, Fei Gao, et al.. (2018). Prospective Comparison of QFT-GIT and T-SPOT.TB Assays for Diagnosis of Active Tuberculosis. Scientific Reports. 8(1). 5882–5882. 31 indexed citations
11.
Xiao, Jing, Hongyan Jia, Liping Pan, et al.. (2018). Application of the CRISPRi system to repress sepF expression in Mycobacterium smegmatis. Infection Genetics and Evolution. 72. 183–190. 13 indexed citations
12.
Pan, Liping, Hongyan Jia, Zhiguo Zhang, et al.. (2018). Label-Free Quantitative Proteomics Identifies Novel Plasma Biomarkers for Distinguishing Pulmonary Tuberculosis and Latent Infection. Frontiers in Microbiology. 9. 1267–1267. 31 indexed citations
13.
Li, Zihui, Boping Du, Jing Li, et al.. (2017). Cerebrospinal fluid metabolomic profiling in tuberculous and viral meningitis: Screening potential markers for differential diagnosis. Clinica Chimica Acta. 466. 38–45. 26 indexed citations
14.
Pan, Liping, Na Wei, Hongyan Jia, et al.. (2017). Genome-wide transcriptional profiling identifies potential signatures in discriminating active tuberculosis from latent infection. Oncotarget. 8(68). 112907–112916. 22 indexed citations
15.
Jia, Hongyan, Liping Pan, Boping Du, et al.. (2016). Diagnostic performance of interferon-γ release assay for lymph node tuberculosis. Diagnostic Microbiology and Infectious Disease. 85(1). 56–60. 12 indexed citations
16.
Pan, Liping, Hongyan Jia, Fei Liu, et al.. (2015). [Evaluation of T-SPOT.TB assay in the diagnosis of pulmonary tuberculosis within different age groups].. PubMed. 38(12). 892–6. 1 indexed citations
17.
Pan, Liping, Hongyan Jia, Fei Liu, et al.. (2015). Risk factors for false-negative T-SPOT.TB assay results in patients with pulmonary and extra-pulmonary TB. Journal of Infection. 70(4). 367–380. 52 indexed citations
18.
Jia, Hongyan, Liping Pan, Shibing Qin, et al.. (2013). Evaluation of interferon-γ release assay in the diagnosis of osteoarticular tuberculosis. Diagnostic Microbiology and Infectious Disease. 76(3). 309–313. 12 indexed citations
19.
Zhang, Xia, Hongyan Jia, Fei Liu, et al.. (2013). Prevalence and Risk Factors for Latent Tuberculosis Infection among Health Care Workers in China: A Cross-Sectional Study. PLoS ONE. 8(6). e66412–e66412. 50 indexed citations
20.
Zhang, Zongde, Yanlin Zhao, Zihui Li, et al.. (2007). [Mutations in the thymidylate synthase gene is a major mechanism in the para-aminosalicylic acid resistance of M. tuberculosis].. PubMed. 30(9). 683–5. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026