Lie Mao
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Tuberculosis Research and Epidemiology
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 4
- Reproductive System and Pregnancy 2
- Immunotherapy and Immune Responses 1
- Galectins and Cancer Biology 1
- Immune Response and Inflammation 1
-
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Hongyan Hou (12 shared papers)Shiji Wu (6 shared papers)Ziyong Sun (6 shared papers)Yanfang Lu (7 shared papers)Ying Luo (2 shared papers)Bo Zhang (1 shared paper)Feng Wang (1 shared paper)Ting Wang (1 shared paper)
In The Last Decade
Lie Mao
13 papers receiving 646 citations
Lie Mao's Hit Papers
Peers
Comparison fields: 5 of 91
- Infectious Diseases 276
- Immunology 203
- Endocrinology 47
- Molecular Medicine 35
- Oncology 85
Countries citing papers authored by Lie Mao
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
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-authors
The 25 scholars most cited alongside Lie Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Detection of IgM and IgG antibodies in patients with coronavirus disease 2019 Hit paper breakdown → | 2020 | 257 |
| 2 | 2015 | 120 | |
| 3 | 2018 | 86 | |
| 4 | 2017 | 53 | |
| 5 | 2018 | 37 | |
| 6 | 2018 | 21 | |
| 7 | 2017 | 20 | |
| 8 | 2015 | 20 | |
| 9 | 2022 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2017 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2022 | 6 |
About Lie Mao
Lie Mao is a scholar working on Immunology, Infectious Diseases, Surgery, Epidemiology and Endocrinology, having authored 13 papers that have together received 656 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers), Tuberculosis Research and Epidemiology (2 papers), Reproductive System and Pregnancy (2 papers), Immunotherapy and Immune Responses (1 paper), Galectins and Cancer Biology (1 paper), Mycobacterium research and diagnosis (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Infectious Diseases (276 citations), Immunology (203 citations), Endocrinology (47 citations), Molecular Medicine (35 citations) and Oncology (85 citations). Lie Mao has collaborated with scholars based in China and Macao. Frequent co-authors include Hongyan Hou, Shiji Wu, Ziyong Sun, Yanfang Lu, Ying Luo, Bo Zhang, Feng Wang, Ting Wang, Yu Zhou and Sun Ziyong. Their work appears in journals such as Cytokine, Human Immunology, Clinical & Translational Immunology, International Journal of Infectious Diseases and International Immunopharmacology.
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.