Xia-Fang Wang

410 total citations
10 papers, 207 citations indexed

About

Xia-Fang Wang is a scholar working on Infectious Diseases, Epidemiology and Genetics. According to data from OpenAlex, Xia-Fang Wang has authored 10 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Xia-Fang Wang's work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Genetic Associations and Epidemiology (3 papers). Xia-Fang Wang is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Genetic Associations and Epidemiology (3 papers). Xia-Fang Wang collaborates with scholars based in China, United States and France. Xia-Fang Wang's co-authors include Hong‐Wen Deng, Yuancheng Chen, Jie Shen, Lin Xu, Rou Zhou, Ding‐You Li, Yan-Fang Guo, Xiaogang Liu, Lan‐Juan Zhao and Kelvin Li and has published in prestigious journals such as PLoS ONE, BioMed Research International and Journal of the Neurological Sciences.

In The Last Decade

Xia-Fang Wang

9 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xia-Fang Wang China	7	67	32	30	23	21	10	207
Wenwen Cheng China	12	128 1.9×	17 0.5×	40 1.3×	43 1.9×	7 0.3×	25	353
Lai‐Bao Zhuo China	7	115 1.7×	54 1.7×	12 0.4×	10 0.4×	11 0.5×	14	239
Beibei Zeng China	9	59 0.9×	39 1.2×	28 0.9×	32 1.4×	6 0.3×	20	277
Paulo Vinícius Gil Alabarse Brazil	10	94 1.4×	53 1.7×	10 0.3×	23 1.0×	10 0.5×	30	334
Rie Ono Japan	11	79 1.2×	55 1.7×	8 0.3×	15 0.7×	16 0.8×	35	289
María E. Peralta López Argentina	5	43 0.6×	39 1.2×	20 0.7×	51 2.2×	18 0.9×	6	194
Maiko Kitajima Japan	10	38 0.6×	23 0.7×	21 0.7×	38 1.7×	8 0.4×	39	300
Tuanyu Fang China	8	193 2.9×	62 1.9×	36 1.2×	15 0.7×	14 0.7×	22	347
Iris Trefflich Germany	7	109 1.6×	126 3.9×	13 0.4×	44 1.9×	8 0.4×	8	305
Dilip Mehta United States	10	94 1.4×	30 0.9×	17 0.6×	82 3.6×	4 0.2×	19	271

Countries citing papers authored by Xia-Fang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xia-Fang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xia-Fang Wang. 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 Xia-Fang Wang. The network helps show where Xia-Fang Wang may publish in the future.

Co-authorship network of co-authors of Xia-Fang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xia-Fang Wang. A scholar is included among the top collaborators of Xia-Fang Wang 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 Xia-Fang Wang. Xia-Fang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Tang, Peijun, Yunlong Hu, Zhijian Ye, et al.. (2022). Autologous Cytokine-Induced Killer Cell Immunotherapy Enhances Chemotherapy Efficacy against Multidrug-Resistant Tuberculosis. Journal of Immunology Research. 2022. 1–10. 1 indexed citations

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.

Chen, Yuancheng, Chao Xu, Jigang Zhang, et al.. (2018). Multivariate analysis of genomics data to identify potential pleiotropic genes for type 2 diabetes, obesity and dyslipidemia using Meta-CCA and gene-based approach. PLoS ONE. 13(8). e0201173–e0201173. 10 indexed citations

Li, Kelvin, Xia-Fang Wang, Ding‐You Li, et al.. (2018). The good, the bad, and the ugly of calcium supplementation: a review of calcium intake on human health. Clinical Interventions in Aging. Volume 13. 2443–2452. 117 indexed citations

Tang, Peijun, Wei Shu, Xia-Fang Wang, et al.. (2018). Additional benefits of GeneXpert MTB/RIF assay for the detection of pulmonary tuberculosis patients with prior exposure to fluoroquinolones. Infection and Drug Resistance. Volume 12. 87–93. 8 indexed citations

Chen, Yuancheng, Lin Xu, Rou Zhou, et al.. (2018). System network analysis of genomics and transcriptomics data identified type 1 diabetes-associated pathway and genes. Genes and Immunity. 20(6). 500–508. 9 indexed citations

Tang, Peijun, Xia-Fang Wang, Xinghua Shen, et al.. (2017). Use of DNA microarray chips for the rapid detection of Mycobacterium tuberculosis resistance to rifampicin and isoniazid. Experimental and Therapeutic Medicine. 13(5). 2332–2338. 8 indexed citations

Wang, Xia-Fang, Lin Xu, Ding‐You Li, et al.. (2017). Linking Alzheimer's disease and type 2 diabetes: Novel shared susceptibility genes detected by cFDR approach. Journal of the Neurological Sciences. 380. 262–272. 42 indexed citations

Zhou, Rou, Lin Xu, Ding‐You Li, et al.. (2017). Identification of novel genetic loci for osteoporosis and/or rheumatoid arthritis using cFDR approach. PLoS ONE. 12(8). e0183842–e0183842. 11 indexed citations

10.

Wang, Xia-Fang. (2012). Analysis of multi-drug resistance of Mycobacterium tuberculosis derived from tuberculosis patients in Suzhou city. 1 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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