Xi Mo
Impact in
- Obstetrics and Gynecology top 1%
- COVID-19 Impact on Reproduction
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Gut microbiota and health 3
-
- Platelet Disorders and Treatments 5
- Co-authors
- Xin Qi (1 shared paper)Zhongyi Jiang (1 shared paper)Yuanyuan Dong (1 shared paper)Shilu Tong (1 shared paper)Yabin Hu (1 shared paper)Fan Jiang (1 shared paper)Yue Tao (9 shared papers)Renhao Li (4 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)Toxicology Letters (1 paper)FEBS Letters (1 paper)Frontiers in Pediatrics (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Mo
26 papers receiving 3.0k citations
Xi Mo's Hit Papers
Peers
Comparison fields: 5 of 142
- Obstetrics and Gynecology 539
- Infectious Diseases 1.3k
- Modeling and Simulation 159
- Neurology 330
- Critical Care and Intensive Care Medicine 86
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 | 2720 |
| 2 | 2019 | 52 | |
| 3 | 2011 | 41 | |
| 4 | 2018 | 36 | |
| 5 | 2018 | 35 | |
| 6 | 2022 | 32 | |
| 7 | 2021 | 29 | |
| 8 | 2009 | 18 | |
| 9 | 2016 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2008 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2025 | 9 | |
| 20 | 2020 | 8 |
About Xi Mo
Xi Mo is a scholar working on Molecular Biology, Hematology, Infectious Diseases, Immunology and Allergy and Neurology, having authored 28 papers that have together received 3.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), Gut microbiota and health (3 papers), Diabetes Treatment and Management (2 papers), Neuroblastoma Research and Treatments (2 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), Cell Adhesion Molecules Research (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Obstetrics and Gynecology (539 citations), Infectious Diseases (1.3k citations), Modeling and Simulation (159 citations), Neurology (330 citations) and Critical Care and Intensive Care Medicine (86 citations). Xi Mo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xin Qi, Zhongyi Jiang, Yuanyuan Dong, Shilu Tong, Yabin Hu, Fan Jiang, Yue Tao, Renhao Li, Qing Cao and Jonas Emsley. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Toxicology Letters, FEBS Letters, Frontiers in Pediatrics and Blood.
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.