Xi Mo
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Obstetrics and Gynecology top 0.5%
- COVID-19 Impact on Reproduction
Papers in ⓘ
-
- Platelet Disorders and Treatments 5
- Co-authors
- Zhongyi Jiang (1 shared paper)Yabin Hu (1 shared paper)Yuanyuan Dong (1 shared paper)Fan Jiang (1 shared paper)Xin Qi (1 shared paper)Shilu Tong (1 shared paper)Renhao Li (4 shared papers)Yue Tao (9 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)Advanced Photonics (1 paper)Infection Genetics and Evolution (1 paper)Scientific Reports (1 paper)Frontiers in Pediatrics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Mo
26 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Infectious Diseases 1.7k
- Obstetrics and Gynecology 723
- Modeling and Simulation 204
- Neurology 437
- Critical Care and Intensive Care Medicine 118
Countries citing papers authored by Xi Mo
This map shows the geographic impact of Xi Mo'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 Xi Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Mo more than expected).
Fields of papers citing papers by Xi Mo
This network shows the impact of papers produced by Xi Mo. 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 Xi Mo. The network helps show where Xi Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Mo, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiology of COVID-19 Among Children in China Hit paper breakdown → | 2020 | 2675 |
| 2 | 2019 | 47 | |
| 3 | 2011 | 37 | |
| 4 | 2018 | 35 | |
| 5 | 2018 | 33 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2009 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2008 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2024 | 7 |
About Xi Mo
Xi Mo is a scholar working on Hematology, Applied Microbiology and Biotechnology, Immunology and Allergy, Infectious Diseases and Molecular Medicine, having authored 28 papers that have together received 3.0k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Asthma and respiratory diseases (2 papers), SARS-CoV-2 detection and testing (2 papers), Diabetes Treatment and Management (2 papers), Pneumonia and Respiratory Infections (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Obstetrics and Gynecology (723 citations), Modeling and Simulation (204 citations), Neurology (437 citations) and Critical Care and Intensive Care Medicine (118 citations). Xi Mo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongyi Jiang, Yabin Hu, Yuanyuan Dong, Fan Jiang, Xin Qi, Shilu Tong, Renhao Li, Yue Tao, Qing Cao and Xiaofeng Zheng. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Advanced Photonics, Infection Genetics and Evolution, Scientific Reports and Frontiers in Pediatrics.
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.