Lie Mao

936 total citations
13 papers, 643 citations indexed

About

Lie Mao is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Lie Mao has authored 13 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Lie Mao's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Lie Mao is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Lie Mao collaborates with scholars based in China and Macao. Lie Mao's co-authors include Hongyan Hou, Shiji Wu, Ziyong Sun, Ying Luo, Yanfang Lu, Bo Zhang, Ting Wang, Feng Wang, Yu Zhou and Sun Ziyong and has published in prestigious journals such as Frontiers in Immunology, European Journal of Immunology and Inflammatory Bowel Diseases.

In The Last Decade

Lie Mao

13 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lie Mao China 10 327 229 96 68 66 13 643
Clifford V. Harding United States 10 246 0.8× 252 1.1× 81 0.8× 104 1.5× 203 3.1× 14 712
Saskia Boisot United States 8 90 0.3× 161 0.7× 67 0.7× 48 0.7× 85 1.3× 9 438
Xiaotong Qiu China 12 134 0.4× 63 0.3× 176 1.8× 102 1.5× 128 1.9× 48 573
Vivek Murthy United States 10 229 0.7× 56 0.2× 45 0.5× 43 0.6× 275 4.2× 17 523
Alicja Misiak Ireland 12 182 0.6× 548 2.4× 77 0.8× 493 7.3× 168 2.5× 15 1.1k
Udo Lorenz Germany 15 198 0.6× 85 0.4× 46 0.5× 54 0.8× 252 3.8× 26 570
Luiz F. Lisboa Canada 15 221 0.7× 198 0.9× 177 1.8× 679 10.0× 107 1.6× 27 930

Countries citing papers authored by Lie Mao

Since Specialization
Citations

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

Fields of papers citing papers by Lie Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lie Mao

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

All Works

13 of 13 papers shown
1.
Wang, Juan, Hongyan Hou, Lie Mao, et al.. (2022). TIGIT Signaling Pathway Regulates Natural Killer Cell Function in Chronic Hepatitis B Virus Infection. Frontiers in Medicine. 8. 816474–816474. 11 indexed citations
2.
Jin, Xueling, Lie Mao, Weijie Zhao, et al.. (2022). Decidualization‐derived cAMP promotes decidual NK cells to be angiogenic phenotype. American Journal of Reproductive Immunology. 88(3). e13540–e13540. 6 indexed citations
3.
Hou, Hongyan, Ting Wang, Bo Zhang, et al.. (2020). Detection of IgM and IgG antibodies in patients with coronavirus disease 2019. Clinical & Translational Immunology. 9(5). e01136–e01136. 254 indexed citations
4.
Zhou, Yu, Xuhui Zhu, Hongyan Hou, et al.. (2018). Characteristics of diarrheagenic Escherichia coli among children under 5 years of age with acute diarrhea: a hospital based study. BMC Infectious Diseases. 18(1). 63–63. 86 indexed citations
5.
6.
Hou, Hongyan, Guanxin Shen, Jing Yu, et al.. (2018). Diagnostic Performance of a 5-Marker Predictive Model for Differential Diagnosis Between Intestinal Tuberculosis and Crohn’s Disease. Inflammatory Bowel Diseases. 24(11). 2452–2460. 21 indexed citations
7.
Hou, Hongyan, Lie Mao, Yanfang Lu, et al.. (2017). The performance of the TBAg/PHA ratio in the diagnosis of active TB disease in immunocompromised patients. International Journal of Infectious Diseases. 59. 55–60. 19 indexed citations
8.
Wang, Feng, Hongyan Hou, Hongmin Zhou, et al.. (2017). Use of TBAg/PHA ratio in distinguishing tuberculoma from cancer in solitary pulmonary nodule or mass. The Clinical Respiratory Journal. 12(3). 1174–1181. 7 indexed citations
9.
Mao, Lie, Hongyan Hou, Shiji Wu, et al.. (2017). TIGIT signalling pathway negatively regulates CD4+ T‐cell responses in systemic lupus erythematosus. Immunology. 151(3). 280–290. 51 indexed citations
10.
Wang, Feng, Lie Mao, Hongyan Hou, et al.. (2016). The source of Mycobacterium tuberculosis-specific IFN-γ production in peripheral blood mononuclear cells of TB patients. International Immunopharmacology. 32. 39–45. 7 indexed citations
11.
Hou, Hongyan, Lie Mao, Juan Wang, et al.. (2016). Establishing the reference intervals of NK cell functions in healthy adults. Human Immunology. 77(8). 637–642. 11 indexed citations
12.
Wang, Feng, Hongyan Hou, Shiji Wu, et al.. (2015). Tim-3 pathway affects NK cell impairment in patients with active tuberculosis. Cytokine. 76(2). 270–279. 19 indexed citations
13.
Wang, Feng, Hongyan Hou, Shiji Wu, et al.. (2015). TIGIT expression levels on human NK cells correlate with functional heterogeneity among healthy individuals. European Journal of Immunology. 45(10). 2886–2897. 114 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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