Sai Mao
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
- Epidemiology 33
- Herpesvirus Infections and Treatments 25
- Cytomegalovirus and herpesvirus research 12
- Immunology 22
- interferon and immune responses 10
- Co-authors
- Mafeng Liu (84 shared papers)Shun Chen (84 shared papers)Renyong Jia (82 shared papers)Dekang Zhu (81 shared papers)Anchun Cheng (76 shared papers)Xumin Ou (62 shared papers)Xinxin Zhao (74 shared papers)Di Sun (62 shared papers)
- Journals
- Poultry Science (17 papers)Frontiers in Microbiology (15 papers)Veterinary Research (9 papers)Veterinary Microbiology (9 papers)Frontiers in Immunology (9 papers)
- Partner nations
- ChinaCanadaNetherlands
In The Last Decade
Sai Mao
89 papers receiving 837 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 114
- Endocrinology 74
- Animal Science and Zoology 139
- Microbiology 79
- Infectious Diseases 181
Countries citing papers authored by Sai Mao
This map shows the geographic impact of Sai 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 Sai Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Mao more than expected).
Fields of papers citing papers by Sai Mao
This network shows the impact of papers produced by Sai 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 Sai Mao. The network helps show where Sai Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 41 | |
| 2 | 2023 | 37 | |
| 3 | 2022 | 36 | |
| 4 | 2021 | 32 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 22 | |
| 9 | 2017 | 20 | |
| 10 | 1993 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2016 | 16 | |
| 13 | 2014 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2022 | 13 |
About Sai Mao
Sai Mao is a scholar working on Epidemiology, Immunology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Animal Science and Zoology, having authored 91 papers that have together received 844 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (25 papers), Viral Infections and Immunology Research (19 papers), Animal Virus Infections Studies (17 papers), Mosquito-borne diseases and control (15 papers), Cytomegalovirus and herpesvirus research (12 papers), Antibiotic Resistance in Bacteria (11 papers), interferon and immune responses (10 papers) and Microbial infections and disease research (9 papers). The work is most often cited by research in Molecular Medicine (114 citations), Endocrinology (74 citations), Animal Science and Zoology (139 citations), Microbiology (79 citations) and Infectious Diseases (181 citations). Sai Mao has collaborated with scholars based in China, Canada and Netherlands. Frequent co-authors include Mafeng Liu, Shun Chen, Renyong Jia, Dekang Zhu, Anchun Cheng, Xumin Ou, Xinxin Zhao, Di Sun, Juan Huang and Qiao Yang. Their work appears in journals such as Poultry Science, Frontiers in Microbiology, Veterinary Research, Veterinary Microbiology and Frontiers in 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.