Xi Mo

4.9k citations
33 papers · 3.7k · 1 hit paper · h-index 14

Impact in

Papers in

Xi Mo

29 papers receiving 3.5k citations

Xi Mo's Hit Papers

Epidemiology of COVID-19 Among Children in China 2020 · 3.1k citations
3.1k0+2+4Years since publication1k2k3k

Peers

Xi Mo
Comparison fields: 5 of 131
  • Infectious Diseases 1.8k
  • General Dentistry 28
  • Modeling and Simulation 296
  • Obstetrics and Gynecology 150
  • Clinical Biochemistry 64
Replace Kate Webb with:
Kate Webb South Africa
Riccardo Castagnoli Italy
Wei Wu He China
Arun Kumar Nalla United States
Keith Magnus Sigel United States
Nicolaus Schwerk Germany
Yuanyuan Dong China
Vicki Lowthorpe United Kingdom
Kamal Kant Sahu United States
Jennifer G. Wilson United States
Xi Mo relative to Kate Webb South Africa Kate Webb's profile →
Citations per field
00.5×2×4×6×7.5×
Kate Webb · 1×
Citations per year

Countries citing papers authored by Xi Mo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xi Mo Line = papers co-authored together Xi Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 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 →
20203068
2 2022107
3 201952
4 201148
5 201842
6 201838
7 202138
8 202135
9 202234
10 200920
11 201617
12 201614
13 202014
14 202514
15 200813
16 202113
17 201811
18 201911
19 202010
20 202210

About Xi Mo

Xi Mo is a scholar working on Hematology, Clinical Biochemistry, Molecular Biology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 33 papers that have together received 3.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), Gut microbiota and health (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Epigenetics and DNA Methylation (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), General Dentistry (28 citations), Modeling and Simulation (296 citations), Obstetrics and Gynecology (150 citations) and Clinical Biochemistry (64 citations). Xi Mo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fan Jiang, Yuanyuan Dong, Shilu Tong, Xin Qi, Yabin Hu, Yue Tao, Jianye Zang, Renhao Li, Xuan Zhang and Qing Cao. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Blood, Science Advances, Frontiers in Pediatrics and Frontiers in Oncology.

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.

Explore authors with similar magnitude of impact