Xinhua Weng

1.9k total citations
62 papers, 1.3k citations indexed

About

Xinhua Weng is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Xinhua Weng has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Epidemiology, 40 papers in Infectious Diseases and 14 papers in Surgery. Recurrent topics in Xinhua Weng's work include Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (19 papers) and Antifungal resistance and susceptibility (11 papers). Xinhua Weng is often cited by papers focused on Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (19 papers) and Antifungal resistance and susceptibility (11 papers). Xinhua Weng collaborates with scholars based in China, United States and Australia. Xinhua Weng's co-authors include Lingyun Shao, Jiazhen Chen, Wenhong Zhang, Liping Zhu, Jing Wu, Ying Zhang, Yan Gao, Jiqin Wu, Feifei Wang and Ni Diao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xinhua Weng

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinhua Weng China 21 882 843 314 251 172 62 1.3k
Varanasi Gopalkrishna India 23 568 0.6× 592 0.7× 221 0.7× 214 0.9× 96 0.6× 63 1.4k
Valeria Pietropaolo Italy 26 415 0.5× 343 0.4× 144 0.5× 206 0.8× 155 0.9× 130 2.1k
Eun Jeong Won South Korea 22 817 0.9× 613 0.7× 117 0.4× 234 0.9× 164 1.0× 111 1.5k
Luis F. Barrera Colombia 19 861 1.0× 628 0.7× 225 0.7× 358 1.4× 620 3.6× 40 1.4k
Adong Shen China 24 872 1.0× 957 1.1× 520 1.7× 497 2.0× 154 0.9× 83 1.7k
Rebecca T. Horvat United States 21 416 0.5× 650 0.8× 96 0.3× 434 1.7× 175 1.0× 53 1.6k
Claudia D’Agostino Italy 19 321 0.4× 307 0.4× 208 0.7× 105 0.4× 248 1.4× 36 1.0k
Stephen T. Reece Germany 21 1.1k 1.3× 716 0.8× 342 1.1× 520 2.1× 614 3.6× 38 1.7k
Lynne Strasfeld United States 16 541 0.6× 1.1k 1.3× 76 0.2× 227 0.9× 110 0.6× 36 1.8k
Shu Okugawa Japan 19 416 0.5× 316 0.4× 115 0.4× 490 2.0× 474 2.8× 88 1.5k

Countries citing papers authored by Xinhua Weng

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Weng. A scholar is included among the top collaborators of Xinhua Weng 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 Xinhua Weng. Xinhua Weng 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.
Zhang, Bingyan, Qianqian Liu, Wei Zhang, et al.. (2018). Diagnostic value of T cells spot test of tuberculosis infection on blood and cerebrospinal fluid for tuberculous meningitis. 36(10). 622–626. 1 indexed citations
2.
Wu, Jiqin, Xuan Wang, Ruiying Wang, et al.. (2018). Genetic influence of Toll-like receptors on non-HIV cryptococcal meningitis: An observational cohort study. EBioMedicine. 37. 401–409. 13 indexed citations
3.
Liu, Qianqian, Yan Gao, Bingyan Zhang, et al.. (2018). Cytokine profiles in cerebrospinal fluid of patients with meningitis at a tertiary general hospital in China. Journal of Microbiology Immunology and Infection. 53(2). 216–224. 22 indexed citations
4.
Liu, Yuanyuan, Qianqian Liu, Yan Gao, et al.. (2017). The expressions and roles of different forms of IL-22 in Mycobacterium tuberculosis infection. Tuberculosis. 107. 95–103. 4 indexed citations
5.
Gao, Yan, et al.. (2015). Expressions and diagnostic value of interleukin-31 in tuberculous pleural effusion. 33(6). 323–326. 1 indexed citations
6.
Shi, Wanliang, Jiazhen Chen, Jie Feng, et al.. (2014). Aspartate decarboxylase (PanD) as a new target of pyrazinamide in Mycobacterium tuberculosis. Emerging Microbes & Infections. 3(1). 1–8. 118 indexed citations
7.
8.
Jin, Jialin, Yaojie Shen, Xiaoping Fan, et al.. (2012). Underestimation of the Resistance of Mycobacterium tuberculosis to Second-Line Drugs by the New GenoType MTBDRsl Test. Journal of Molecular Diagnostics. 15(1). 44–50. 20 indexed citations
9.
Wu, Jing, Chanyi Lu, Ni Diao, et al.. (2011). Analysis of microRNA expression profiling identifies miR-155 and miR-155* as potential diagnostic markers for active tuberculosis: a preliminary study. Human Immunology. 73(1). 31–37. 96 indexed citations
10.
Wang, Feifei, Hongbo Shen, Ming Guan, et al.. (2010). High-resolution melting facilitates mutation screening of rpsL gene associated with streptomycin resistance in Mycobacterium tuberculosis. Microbiological Research. 166(2). 121–128. 12 indexed citations
11.
Chen, Jiazhen, Sen Wang, Ying Zhang, et al.. (2010). Rv1985c, a promising novel antigen for diagnosis of tuberculosis infection from BCG-vaccinated controls. BMC Infectious Diseases. 10(1). 273–273. 17 indexed citations
12.
Qin, Yanli, Jiming Zhang, Richeng Mao, et al.. (2009). Prevalence of basal core promoter and precore mutations in Chinese chronic hepatitis B patients and correlation with serum HBeAG titers. Journal of Medical Virology. 81(5). 807–814. 16 indexed citations
13.
14.
Weng, Xinhua. (2007). Clinical analysis of 146 patients with cryptococcal meningitis. 1 indexed citations
15.
Huang, Yuxian, Hirofumi Jono, Wenhong Zhang, et al.. (2007). Opposing roles of PAK2 and PAK4 in synergistic induction of MUC5AC mucin by bacterium NTHi and EGF. Biochemical and Biophysical Research Communications. 359(3). 691–696. 13 indexed citations
16.
Zhang, Qiangqiang, Liping Zhu, Xinhua Weng, Li Li, & Jiajun Wang. (2006). Meningitis due toPrototheca wickerhamii: rare case in China. Medical Mycology. 45(1). 85–88. 22 indexed citations
17.
Weng, Xinhua. (2004). Nosocomial Fungal Infections in Target Population:A Prospective Survey. 1 indexed citations
18.
Shi, Guangfeng, Qian Li, Xinhua Weng, & Xianghui Wu. (2004). [Effects of Oxymatrine on the expression of tissue inhibitor of metalloproteinase-1 and alpha-smooth muscle actin in the livers of rats with hepatic fibrosis].. PubMed. 12(1). 56–56. 1 indexed citations
19.
Sha, Wei, Xinhua Weng, Heping Xiao, & Guojun He. (2003). [Investigation of drug-resistance to rifampin and rpoB gene sequence analysis of Mycobacterium abscessus].. PubMed. 26(9). 544–7. 5 indexed citations
20.
Wang, Wen, Weirong Jin, Xinhua Weng, et al.. (2002). [Detecting rpoB gene mutation in rifampin-resistant Mycobacterium tuberculosis by using the reverse dot-blot hybridization method].. PubMed. 25(10). 591–4.

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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