Ruijia Sun

1.4k citations
12 papers · 620 indexed · 2 hit papers · h-index 9
Topics
SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 Clinical Research Studies (6 papers)COVID-19 epidemiological studies (5 papers)
Journals
Nature MedicineNature GeneticsSHILAP Revista de lepidopterología

In The Last Decade

Ruijia Sun

12 papers receiving 607 citations

Hit Papers

Modeling transmission of SARS-CoV-2 Omicron in China20222026202320242022202250100150

Peers

Ruijia Sun
Comparison fields: 5 of 92
  • Infectious Diseases 446
  • Modeling and Simulation 217
  • Health 98
  • Epidemiology 73
  • Molecular Biology 68
Replace Megan O’Driscoll with:
Megan O’Driscoll United Kingdom
Pengzhe Qin China
Jonathan Nunez United States
Eric R. A. Vos Netherlands
Emma Pritchard United Kingdom
Thomas N. Vilches Canada
Zeyao Zhao China
Toon Braeye Belgium
Asad Zaidi United Kingdom
Timothy B. Frankland United States
Ruijia Sun relative to Megan O’Driscoll United Kingdom Megan O’Driscoll's profile →
Citations per field
00.5×1.5×
Megan O’Driscoll · 1×
Citations per year

Countries citing papers authored by Ruijia Sun

Since Specialization
Citations

This map shows the geographic impact of Ruijia Sun'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 Ruijia Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruijia Sun more than expected).

Fields of papers citing papers by Ruijia Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruijia Sun. 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 Ruijia Sun. The network helps show where Ruijia Sun may publish in the future.

Co-authorship network of co-authors of Ruijia Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ruijia Sun. A scholar is included among the top collaborators of Ruijia Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruijia Sun. Ruijia Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 4
3 14
4 27
5
Modeling transmission of SARS-CoV-2 Omicron in Chinabreakdown →
175
6
Global landscape of SARS-CoV-2 genomic surveillance and data sharingbreakdown →
137
7 19
8 39
9 67
10 126
11 10
12 1

About Ruijia Sun

Ruijia Sun is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 12 papers that have together received 620 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (6 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (217 citations), Infectious Diseases (446 citations) and Health (98 citations). Ruijia Sun has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hongjie Yu, Xinhua Chen, Juan Yang, Zeyao Zhao, Wanying Lu, Xiaowei Deng, Andrew S. Azman, Daniel T. Leung, Zhiyuan Chen and Marco Ajelli. Their work appears in journals such as Nature Medicine, Nature Genetics and SHILAP Revista de lepidopterología.

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.

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