Yueting Tang

2.8k total citations · 1 hit paper
33 papers, 2.0k citations indexed

About

Yueting Tang is a scholar working on Infectious Diseases, Molecular Biology and Cancer Research. According to data from OpenAlex, Yueting Tang has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Yueting Tang's work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (9 papers) and MicroRNA in disease regulation (7 papers). Yueting Tang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (9 papers) and MicroRNA in disease regulation (7 papers). Yueting Tang collaborates with scholars based in China, United Kingdom and Taiwan. Yueting Tang's co-authors include Xinghua Long, Junli Fan, Lei Zheng, Hui Zeng, Yiyao Huang, Qiaoling Deng, Taixue An, Xu Chen, Sihua Qin and Wei Zhang and has published in prestigious journals such as JAMA, Clinica Chimica Acta and Signal Transduction and Targeted Therapy.

In The Last Decade

Yueting Tang

31 papers receiving 2.0k citations

Hit Papers

Antibodies in Infants Bor... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yueting Tang China 18 845 563 518 487 244 33 2.0k
Lucia Manganaro Italy 31 218 0.3× 169 0.3× 1.1k 2.2× 362 0.7× 166 0.7× 185 3.6k
Luis Martínez‐Piñeiro Spain 26 529 0.6× 209 0.4× 142 0.3× 138 0.3× 100 0.4× 161 3.5k
Hongbo Yang United States 24 326 0.4× 179 0.3× 328 0.6× 175 0.4× 150 0.6× 136 1.9k
Charlotte Ngô France 23 190 0.2× 402 0.7× 751 1.4× 102 0.2× 162 0.7× 92 2.9k
Y. M. Dennis Lo Hong Kong 29 972 1.2× 811 1.4× 96 0.2× 470 1.0× 114 0.5× 54 2.9k
Dominic Moore United States 16 372 0.4× 147 0.3× 76 0.1× 100 0.2× 125 0.5× 46 1.2k
Stuart D. Boyd United States 33 490 0.6× 189 0.3× 400 0.8× 406 0.8× 48 0.2× 97 7.2k
Luigi Frigerio Italy 26 153 0.2× 143 0.3× 961 1.9× 111 0.2× 435 1.8× 88 2.2k
Dvora Kidron Israel 22 363 0.4× 94 0.2× 195 0.4× 84 0.2× 128 0.5× 56 1.4k
J. G. Grudzinskas United Kingdom 28 360 0.4× 150 0.3× 1.4k 2.7× 287 0.6× 754 3.1× 126 3.3k

Countries citing papers authored by Yueting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yueting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueting Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yueting Tang. A scholar is included among the top collaborators of Yueting 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 Yueting Tang. Yueting 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
1.
He, Sang, Yueting Tang, Xiaolu Qu, et al.. (2025). Systematic benchmarking of tools for structural variation detection using short- and long-read sequencing data in pigs. iScience. 28(3). 111983–111983. 1 indexed citations
2.
Bao, Qi, Zhen Wang, Sang He, et al.. (2024). Uncovering Evolutionary Adaptations in Common Warthogs through Genomic Analyses. Genes. 15(2). 166–166.
3.
Tang, Yueting, Fen Yao, Gui Yang, et al.. (2022). Surveillance of SARS-CoV-2 antibodies of patients in the local affected area during Wuhan lockdown. BMC Infectious Diseases. 22(1). 10–10. 1 indexed citations
4.
Tang, Yueting, Huaqin Pan, Fen Yao, et al.. (2021). Aberrant cytokine expression in COVID-19 patients: Associations between cytokines and disease severity. Cytokine. 143. 155523–155523. 23 indexed citations
5.
Pan, Yunbao, Yang Liu, Liangjun Chen, et al.. (2021). Correction: SARS-CoV-2-specific immune response in COVID-19 convalescent individuals. Signal Transduction and Targeted Therapy. 6(1). 293–293. 1 indexed citations
6.
Pan, Yunbao, Yang Liu, Liangjun Chen, et al.. (2021). SARS-CoV-2-specific immune response in COVID-19 convalescent individuals. Signal Transduction and Targeted Therapy. 6(1). 256–256. 46 indexed citations
7.
Pan, Yunbao, Xinran Li, Gui Yang, et al.. (2020). Seroprevalence of SARS-CoV-2 immunoglobulin antibodies in Wuhan, China: part of the city-wide massive testing campaign. Clinical Microbiology and Infection. 27(2). 253–257. 21 indexed citations
8.
Qiu, Xueping, Yang Xiang, Guo‐Qiang Chen, et al.. (2020). Dynamic changes of throat swabs RNA and serum antibodies for SARS-CoV-2 and their diagnostic performances in patients with COVID-19. Emerging Microbes & Infections. 9(1). 1974–1983. 8 indexed citations
9.
Long, Xinghua, Yu Shi, Peng Ye, et al.. (2020). MicroRNA-99a Suppresses Breast Cancer Progression by Targeting FGFR3. Frontiers in Oncology. 9. 1473–1473. 47 indexed citations
10.
Tang, Yueting, et al.. (2020). <p>Selection of an Optimal Combination Panel to Better Triage COVID-19 Hospitalized Patients</p>. Journal of Inflammation Research. Volume 13. 773–787. 14 indexed citations
11.
Pan, Yunbao, Xinran Li, Gui Yang, et al.. (2020). Serological immunochromatographic approach in diagnosis with SARS-CoV-2 infected COVID-19 patients. Journal of Infection. 81(1). e28–e32. 255 indexed citations
12.
Tang, Yueting, Yiyao Huang, Jinghuan Li, et al.. (2018). Alterations in exosomal miRNA profile upon epithelial-mesenchymal transition in human lung cancer cell lines. BMC Genomics. 19(1). 802–802. 42 indexed citations
13.
Tang, Yueting, Yiyao Huang, Lei Zheng, et al.. (2017). Comparison of isolation methods of exosomes and exosomal RNA from cell culture medium and serum. International Journal of Molecular Medicine. 40(3). 834–844. 363 indexed citations
14.
Tang, Yueting, et al.. (2016). Diagnostic value of platelet indices and bone marrow megakaryocytic parameters in immune thrombocytopenic purpura. Blood Coagulation & Fibrinolysis. 28(1). 83–90. 25 indexed citations
15.
Yan, Xiaohui, Yan‐Wei Hu, Jinlan Huang, et al.. (2015). miRNA‐548p suppresses hepatitis B virus X protein associated hepatocellular carcinoma by downregulating oncoprotein hepatitis B x‐interacting protein. Hepatology Research. 46(8). 804–815. 21 indexed citations
16.
Tang, Yueting, Xiaoyang Jiao, Xiaolan Chang, & Dongyang Huang. (2014). Risk factors for the evaluation of potential central nervous system metastasis in Burkitt's lymphoma: a case study and literature review. Hematological Oncology. 34(1). 36–41. 1 indexed citations
17.
Guo, Li, et al.. (2013). The Association of Serum Vascular Endothelial Growth Factor and Ferritin in Diabetic Microvascular Disease. Diabetes Technology & Therapeutics. 16(4). 224–234. 26 indexed citations
18.
Tang, Yueting, et al.. (2013). The soluble VEGF receptor 1 and 2 expression in cerebral spinal fluid as an indicator for leukemia central nervous system metastasis. Journal of Neuro-Oncology. 112(3). 329–338. 17 indexed citations
19.
Cheng, Panpan, Zhenzhen Sun, Fang Jiang, Yueting Tang, & Xiaoyang Jiao. (2011). Hepcidin expression in patients with acute leukaemia. European Journal of Clinical Investigation. 42(5). 517–525. 15 indexed citations
20.
Jiang, Fang, Zhenzhen Sun, Yueting Tang, Chuanqing Xu, & Xiaoyang Jiao. (2011). Hepcidin expression and iron parameters change in Type 2 diabetic patients. Diabetes Research and Clinical Practice. 93(1). 43–48. 70 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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