Mingkai Tan

1.7k total citations
12 papers, 662 citations indexed

About

Mingkai Tan is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mingkai Tan has authored 12 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Mingkai Tan's work include COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 diagnosis using AI (4 papers). Mingkai Tan is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 diagnosis using AI (4 papers). Mingkai Tan collaborates with scholars based in China. Mingkai Tan's co-authors include Yaling Shi, Fang Li, Yanxia Liu, Xilong Deng, Jingyi Ou, Yusheng Jie, Jiao Gong, Lianxiong Yuan, Jing Cao and Yaqiong Chen and has published in prestigious journals such as Clinical Infectious Diseases, Immunology and Journal of Gastroenterology and Hepatology.

In The Last Decade

Mingkai Tan

10 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingkai Tan China 6 533 264 137 112 107 12 662
Lianchun Liang China 10 394 0.7× 170 0.6× 77 0.6× 72 0.6× 62 0.6× 22 519
Hongwei Ren China 5 505 0.9× 256 1.0× 149 1.1× 82 0.7× 50 0.5× 14 634
Kiran Pillai United Kingdom 3 373 0.7× 189 0.7× 84 0.6× 55 0.5× 57 0.5× 5 488
Wanlin Jiang United States 8 391 0.7× 210 0.8× 153 1.1× 77 0.7× 36 0.3× 13 584
Muhammed Kermali United Kingdom 6 358 0.7× 170 0.6× 83 0.6× 59 0.5× 56 0.5× 9 507
Jizhou Gou China 5 767 1.4× 369 1.4× 109 0.8× 269 2.4× 27 0.3× 8 933
Xue-hua Li China 8 547 1.0× 292 1.1× 121 0.9× 156 1.4× 51 0.5× 11 836

Countries citing papers authored by Mingkai Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mingkai Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkai Tan

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

All Works

12 of 12 papers shown
1.
2.
Ou, Jingyi, Mingkai Tan, Haiyan Tan, et al.. (2021). SARS-CoV-2 Antibodies and Associated Factors at Different Hospitalization Time Points in 192 COVID-19 Cases. The Journal of Applied Laboratory Medicine. 6(5). 1133–1142. 7 indexed citations
3.
Tan, Mingkai, et al.. (2021). Clinical characteristics and outcomes of Covid-19 patients with gastrointestinal manifestations seen in a tertiary hospital: A retrospective, cohort study. Journal of Gastroenterology and Hepatology. 36. 207–207.
4.
Gong, Jiao, Yaqiong Chen, Yusheng Jie, et al.. (2021). U-Shaped Relationship of Low-Density Lipoprotein Cholesterol With Risk of Severe COVID-19 From a Multicenter Pooled Analysis. Frontiers in Cardiovascular Medicine. 8. 604736–604736. 5 indexed citations
5.
Tan, Mingkai, et al.. (2020). Immunopathological characteristics of coronavirus disease 2019 cases in Guangzhou, China. Immunology. 160(3). 261–268. 279 indexed citations
6.
Gong, Jiao, Jingyi Ou, Xueping Qiu, et al.. (2020). A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China. Clinical Infectious Diseases. 71(15). 833–840. 338 indexed citations
7.
Chen, Xing, Jingyi Ou, Mingkai Tan, et al.. (2020). Diagnostic roles of several parameters in corona virus disease 2019. Laboratory Medicine. 35(4). 295. 3 indexed citations
8.
Tan, Mingkai, et al.. (2020). Performance evaluation and clinical application of three antibody test kits for novel coronavirus (SARS-CoV-2). Zhonghua weishengwuxue he mianyixue zazhi. 40(4). 1 indexed citations
9.
Shi, Yaling, Jingyi Ou, Xing Chen, et al.. (2020). Expressions of multiple inflammation markers in the patients with 2019 novel coronavirus pneumonia and their clinical values. Zhonghua jianyan yixue zazhi. 43(4). 346–351. 5 indexed citations
10.
Liu, Bingfeng, Yaling Shi, Wanying Zhang, et al.. (2020). Recovered COVID-19 patients with recurrent viral RNA exhibit lower levels of anti-RBD antibodies. Cellular and Molecular Immunology. 17(10). 1098–1100. 12 indexed citations
11.
Gong, Jiao, Jingyi Ou, Xueping Qiu, et al.. (2020). Multicenter Development and Validation of a Novel Risk Nomogram for Early Prediction of Severe 2019-Novel Coronavirus Pneumonia. SSRN Electronic Journal. 6 indexed citations
12.
Gong, Jiao, Jingyi Ou, Xueping Qiu, et al.. (2020). Multicenter Development and Validation of a Novel Risk Nomogram for Early Prediction of Severe 2019-Novel Coronavirus Pneumonia. SSRN Electronic Journal. 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.

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Breakdown of academic impact, for papers by Lianchun Liang Breakdown of academic impact, for papers by Hongwei Ren Breakdown of academic impact, for papers by Kiran Pillai Breakdown of academic impact, for papers by Wanlin Jiang Breakdown of academic impact, for papers by Muhammed Kermali Breakdown of academic impact, for papers by Jizhou Gou Breakdown of academic impact, for papers by Xue-hua Li
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2026