Liyan Mao
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 14
- COVID-19 Clinical Research Studies 5
-
- Mycobacterium research and diagnosis 3
- Co-authors
- Ziyong Sun (31 shared papers)Ying Luo (28 shared papers)Qun Lin (27 shared papers)Hongyan Hou (17 shared papers)Guoxing Tang (26 shared papers)Shiji Wu (14 shared papers)Yaowu Zhu (4 shared papers)Min Huang (3 shared papers)
- Journals
- Frontiers in Immunology (9 papers)Frontiers in Cellular and Infection Microbiology (4 papers)International Journal of Infectious Diseases (4 papers)BMC Infectious Diseases (4 papers)Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Liyan Mao
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Infectious Diseases 564
- Molecular Medicine 68
- Neurology 165
- Endocrinology 56
- Applied Microbiology and Biotechnology 17
Countries citing papers authored by Liyan Mao
This map shows the geographic impact of Liyan 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 Liyan Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyan Mao more than expected).
Fields of papers citing papers by Liyan Mao
This network shows the impact of papers produced by Liyan 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 Liyan Mao. The network helps show where Liyan Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyan 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 375 | |
| 2 | 2018 | 86 | |
| 3 | 2017 | 53 | |
| 4 | 2019 | 49 | |
| 5 | 2018 | 37 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2021 | 25 | |
| 9 | 2018 | 23 | |
| 10 | 2019 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2019 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2020 | 17 |
About Liyan Mao
Liyan Mao is a scholar working on Infectious Diseases, Epidemiology, Immunology, Surgery and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), COVID-19 Clinical Research Studies (5 papers), Infectious Diseases and Tuberculosis (4 papers), Diagnosis and treatment of tuberculosis (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Infectious Diseases (564 citations), Molecular Medicine (68 citations), Neurology (165 citations), Endocrinology (56 citations) and Applied Microbiology and Biotechnology (17 citations). Liyan Mao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ziyong Sun, Ying Luo, Qun Lin, Hongyan Hou, Guoxing Tang, Shiji Wu, Yaowu Zhu, Min Huang, Yu Zhou and Huilan Zhang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Cellular and Infection Microbiology, International Journal of Infectious Diseases, BMC Infectious Diseases and Immunology.
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.