Ruiying Liang

1.3k total citations · 1 hit paper
53 papers, 927 citations indexed

About

Ruiying Liang is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Ruiying Liang has authored 53 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 14 papers in Immunology and 13 papers in Molecular Biology. Recurrent topics in Ruiying Liang's work include Animal Virus Infections Studies (9 papers), interferon and immune responses (6 papers) and vaccines and immunoinformatics approaches (5 papers). Ruiying Liang is often cited by papers focused on Animal Virus Infections Studies (9 papers), interferon and immune responses (6 papers) and vaccines and immunoinformatics approaches (5 papers). Ruiying Liang collaborates with scholars based in China, United States and Germany. Ruiying Liang's co-authors include Fei Yu, Shibo Jiang, Xiaoqian Deng, Meng Su, Naru Zhang, Lili Wang, Jing Ren, Lanying Du, Tianlei Ying and Rong Xiang and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Ruiying Liang

48 papers receiving 903 citations

Hit Papers

Recent advances in the detection of respiratory virus inf... 2020 2026 2022 2024 2020 100 200 300

Peers

Ruiying Liang
Comparison fields: 5 of 120
  • Infectious Diseases 449
  • Molecular Biology 272
  • Epidemiology 174
  • Immunology 148
  • Radiology, Nuclear Medicine and Imaging 120
Replace Naru Zhang with:
Naru Zhang China
Changfa Fan China
Cynthia Sau-Wai Leung Hong Kong
Jakob Trimpert Germany
Kun Wen China
Wan-Mui Chan Hong Kong
Ray T. Y. So Hong Kong
Huan Ma China
Wenling Wang China
Shan Su China
Naru Zhang China View profile →
Citations per field, relative to Ruiying Liang
Ruiying Liang · 1×
Citations per year, relative to Ruiying Liang
Ruiying Liang · 1×

Countries citing papers authored by Ruiying Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ruiying Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiying Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiying Liang. A scholar is included among the top collaborators of Ruiying Liang 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 Ruiying Liang. Ruiying Liang 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 0
2 0
3 7
4 3
5 4
6 15
7 3
8 13
9 8
10 57
11 6
12 13
13 77
14 10
15 5
16 16
17 3
18 7
19 14
20 2

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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