Guoxing Tang

1.5k total citations
44 papers, 924 citations indexed

About

Guoxing Tang is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Guoxing Tang has authored 44 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 18 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Guoxing Tang's work include Tuberculosis Research and Epidemiology (15 papers), COVID-19 Clinical Research Studies (8 papers) and Mycobacterium research and diagnosis (7 papers). Guoxing Tang is often cited by papers focused on Tuberculosis Research and Epidemiology (15 papers), COVID-19 Clinical Research Studies (8 papers) and Mycobacterium research and diagnosis (7 papers). Guoxing Tang collaborates with scholars based in China, United States and Australia. Guoxing Tang's co-authors include Ying Luo, Ziyong Sun, Qun Lin, Liyan Mao, Hongyan Hou, Shiji Wu, Yaowu Zhu, Min Huang, Huilan Zhang and Minghao Fang and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Frontiers in Immunology and Lithos.

In The Last Decade

Guoxing Tang

40 papers receiving 918 citations

Peers

Guoxing Tang
Liyan Mao China
Meiying Wu China
Antonio Lalueza Spain
Venu Madhav Konala United States
Guqin Zhang China
Sik-To Lai Hong Kong
Linding Wang China
Xiangyan Zhang China
Serena Ludovisi Italy
Liyan Mao China
Guoxing Tang
Citations per year, relative to Guoxing Tang Guoxing Tang (= 1×) peers Liyan Mao

Countries citing papers authored by Guoxing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Guoxing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxing Tang. A scholar is included among the top collaborators of Guoxing Tang 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 Guoxing Tang. Guoxing Tang 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
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Shi, Yonghong, et al.. (2024). Tectonic affinity and evolution of the Foziling Group: A window into the Dabie orogenic belt's shallow subduction process. Lithos. 488-489. 107804–107804. 2 indexed citations
3.
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Tang, Guoxing, Ying Luo, Huijuan Song, et al.. (2024). The immune landscape of sepsis and using immune clusters for identifying sepsis endotypes. Frontiers in Immunology. 15. 1287415–1287415. 2 indexed citations
5.
Huang, Ming, Ting Wang, Yi Huang, et al.. (2023). The clinical and immunological characteristics in fatal severe fever with thrombocytopenia syndrome virus (SFTSV) infection. Clinical Immunology. 248. 109262–109262. 18 indexed citations
6.
Tang, Guoxing, Guo Li, Guangsheng Liu, & Xiaocong Yang. (2023). Determination of the relationship between direct tensile test and Brazilian splitting test of cemented tailings backfill. Paste/˜Pœaste. 98–111. 3 indexed citations
7.
Luo, Ying, Ying Xue, Wei Liu, et al.. (2023). Convolutional neural network based on T-SPOT.TB assay promoting the discrimination between active tuberculosis and latent tuberculosis infection. Diagnostic Microbiology and Infectious Disease. 105(3). 115892–115892. 3 indexed citations
8.
Luo, Ying, Ying Xue, Guoxing Tang, et al.. (2021). Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection. Frontiers in Immunology. 12. 658843–658843. 17 indexed citations
9.
Luo, Ying, Ying Xue, Qun Lin, et al.. (2021). Lymphocyte Non-Specific Function Detection Facilitating the Stratification of Mycobacterium tuberculosis Infection. Frontiers in Immunology. 12. 641378–641378. 9 indexed citations
10.
Hou, Hongyan, Yandi Zhang, Guoxing Tang, et al.. (2021). Immunologic memory to SARS-CoV-2 in convalescent COVID-19 patients at 1 year postinfection. Journal of Allergy and Clinical Immunology. 148(6). 1481–1492.e2. 33 indexed citations
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Lin, Qun, Yue Wang, Jing Yu, et al.. (2021). Bacterial characteristics of carbapenem-resistant Enterobacteriaceae (CRE) colonized strains and their correlation with subsequent infection. BMC Infectious Diseases. 21(1). 638–638. 29 indexed citations
13.
Luo, Ying, Ying Xue, Qun Lin, et al.. (2020). Diagnostic Accuracy of T-SPOT.TB Assay for Tuberculous Meningitis: An Updated Meta-Analysis. Frontiers in Neurology. 11. 866–866. 13 indexed citations
14.
Luo, Ying, Liyan Mao, Yuan Xu, et al.. (2020). Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection. Journal of Clinical Immunology. 40(7). 960–969. 29 indexed citations
15.
Wang, Feng, Hongyan Hou, Ying Luo, et al.. (2020). The laboratory tests and host immunity of COVID-19 patients with different severity of illness. JCI Insight. 5(10). 372 indexed citations
16.
Luo, Ying, Ying Xue, Liyan Mao, et al.. (2020). Diagnostic Value of T-SPOT.TB Assay for Tuberculous Peritonitis: A Meta-Analysis. Frontiers in Medicine. 7. 585180–585180. 14 indexed citations
17.
Luo, Ying, Yuan Xu, Ying Xue, et al.. (2020). Using a diagnostic model based on routine laboratory tests to distinguish patients infected with SARS-CoV-2 from those infected with influenza virus. International Journal of Infectious Diseases. 95. 436–440. 18 indexed citations
18.
Luo, Ying, Ying Xue, Liyan Mao, et al.. (2020). Diagnostic utility of pleural fluid T-SPOT and interferon-gamma for tuberculous pleurisy: A two-center prospective cohort study in China. International Journal of Infectious Diseases. 99. 515–521. 9 indexed citations
19.
Wang, Feng, Kui Liu, Jing Peng, et al.. (2020). Combination of Xpert MTB/RIF and TBAg/PHA Ratio for Prompt Diagnosis of Active Tuberculosis: A Two-Center Prospective Cohort Study. Frontiers in Medicine. 7. 119–119. 11 indexed citations
20.
Wang, Feng, Hongyan Hou, Ting Wang, et al.. (2020). Establishing a model for predicting the outcome of COVID-19 based on combination of laboratory tests. Travel Medicine and Infectious Disease. 36. 101782–101782. 32 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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