Ruiyun Li

7.9k total citations · 2 hit papers
96 papers, 4.6k citations indexed

About

Ruiyun Li is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ruiyun Li has authored 96 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Infectious Diseases and 22 papers in Epidemiology. Recurrent topics in Ruiyun Li's work include Influenza Virus Research Studies (15 papers), COVID-19 epidemiological studies (15 papers) and Animal Disease Management and Epidemiology (13 papers). Ruiyun Li is often cited by papers focused on Influenza Virus Research Studies (15 papers), COVID-19 epidemiological studies (15 papers) and Animal Disease Management and Epidemiology (13 papers). Ruiyun Li collaborates with scholars based in China, United States and United Kingdom. Ruiyun Li's co-authors include Jeffrey Shaman, Бин Чэн, Sen Pei, Yimeng Song, Wan Yang, Feng Jiang, Jun Shen, Jipei Liao, Lei Yu and Maria Guarnera and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ruiyun Li

89 papers receiving 4.5k citations

Hit Papers

Substantial undocumented infection facilitates the rapid ... 2020 2026 2022 2024 2020 2021 500 1000 1.5k 2.0k

Peers

Ruiyun Li
Comparison fields: 5 of 180
  • Infectious Diseases 1.7k
  • Modeling and Simulation 1.5k
  • Molecular Biology 939
  • Epidemiology 656
  • Neurology 544
Replace Tao Wei with:
Tao Wei China
Yonatan H. Grad United States
Harapan Harapan Indonesia
Jamie Lopez Bernal United Kingdom
Kai Sen Tan Singapore
Yu Chen China
Yingxia Liu China
Chorh Chuan Tan Singapore
Peng Wu Hong Kong
Zhao Su China
Tao Wei China View profile →
Citations per field, relative to Ruiyun Li
Ruiyun Li · 1×
Citations per year, relative to Ruiyun Li
Ruiyun Li · 1×

Countries citing papers authored by Ruiyun Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruiyun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyun Li. A scholar is included among the top collaborators of Ruiyun Li 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 Ruiyun Li. Ruiyun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 4
4 3
5 0
6 2
7 1
8 5
9 9
10 7
11 3
12 8
13 4
14
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) breakdown →
2260
15 41
16 12
17 1
18
Bakuchiol inhibits cell proliferation and induces apoptosis and cell cycle arrest in SGC-7901 human gastric cancer cells.
6
19 2
20 12

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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