Rui Song

5.4k citations
60 papers · 773 indexed · 1 hit paper · h-index 15
Topics
SARS-CoV-2 and COVID-19 Research (14 papers)COVID-19 Clinical Research Studies (14 papers)SARS-CoV-2 detection and testing (5 papers)
Journals
The LancetNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Rui Song

54 papers receiving 760 citations

Hit Papers

Ultrasensitive single-step CRISPR detection of monkeypox ...20242026202520241020304050

Peers

Rui Song
Comparison fields: 5 of 101
  • Infectious Diseases 260
  • Immunology 208
  • Molecular Biology 188
  • Epidemiology 121
  • Neurology 102
Replace Palaniappan Ramanathan with:
Palaniappan Ramanathan United States
Suzanne M. Scheaffer United States
Andreas Walker Germany
Liina Tserel Estonia
Philip A. Mudd United States
Longding Liu China
Patrick Younan United States
Christoph Josef Hemmer Germany
Subhasis Mohanty United States
Zilton Vasconcelos Brazil
Rui Song relative to Palaniappan Ramanathan United States Palaniappan Ramanathan's profile →
Citations per field
00.5×
Palaniappan Ramanathan · 1×
Citations per year

Countries citing papers authored by Rui Song

Since Specialization
Citations

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

Fields of papers citing papers by Rui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Song

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Song. A scholar is included among the top collaborators of Rui Song 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 Rui Song. Rui Song 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
#WorkIndexed citations
1 0
2 22
3 3
4
Ultrasensitive single-step CRISPR detection of monkeypox virus in minutes with a vest-pocket diagnostic devicebreakdown →
57
5 1
6 0
7 1
8 4
9 12
10 0
11 1
12 0
13 1
14 9
15 6
16 1
17 19
18 68
19 47
20 10

About Rui Song

Rui Song is a scholar working on Infectious Diseases, Virology and Neurology, having authored 60 papers that have together received 773 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), COVID-19 Clinical Research Studies (14 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Infectious Diseases (260 citations), Virology (59 citations) and Modeling and Simulation (47 citations). Rui Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhihai Chen, Yaxian Kong, Hui Zeng, Fujie Zhang, Yangzi Song, Beibei Wang, Yu Jiang, Yaluan Ma, Hao Yu and Ling Xu. Their work appears in journals such as The Lancet, Nature Communications 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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