Beiyun C. Liu

9 total papers · 1.3k total citations
8 papers, 974 citations indexed

About

Beiyun C. Liu is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Beiyun C. Liu has authored 8 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Beiyun C. Liu's work include interferon and immune responses (6 papers), Inflammasome and immune disorders (4 papers) and Viral Infections and Vectors (2 papers). Beiyun C. Liu is often cited by papers focused on interferon and immune responses (6 papers), Inflammasome and immune disorders (4 papers) and Viral Infections and Vectors (2 papers). Beiyun C. Liu collaborates with scholars based in United States, Russia and Canada. Beiyun C. Liu's co-authors include Alexander Poltorak, Joseph Sarhan, Hayley I. Muendlein, Amy Y. Tang, Stephen C. Bunnell, Douglas R. Green, Anthony Rongvaux, Peng Li, Feng Shao and Vladimir Ilyukha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Beiyun C. Liu

8 papers receiving 963 citations

Hit Papers

Caspase-8 induces cleavag... 2018 2026 2020 2023 2018 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Beiyun C. Liu 809 502 144 97 90 8 974
Joseph Sarhan 793 1.0× 463 0.9× 143 1.0× 89 0.9× 93 1.0× 7 917
Amy Y. Tang 815 1.0× 420 0.8× 139 1.0× 85 0.9× 85 0.9× 11 974
Dmitry Ratner 855 1.1× 410 0.8× 159 1.1× 119 1.2× 108 1.2× 8 1.1k
Hayley I. Muendlein 1.0k 1.2× 606 1.2× 167 1.2× 104 1.1× 118 1.3× 16 1.2k
Xiwen Lou 905 1.1× 373 0.7× 185 1.3× 95 1.0× 115 1.3× 7 1.1k
Kateryna Shkarina 1.0k 1.3× 472 0.9× 167 1.2× 121 1.2× 106 1.2× 14 1.2k
Setu M. Vora 830 1.0× 337 0.7× 126 0.9× 91 0.9× 89 1.0× 12 1.1k
Joseph Chavarría‐Smith 936 1.2× 538 1.1× 98 0.7× 120 1.2× 112 1.2× 8 1.2k
Natália Ketelut-Carneiro 778 1.0× 383 0.8× 129 0.9× 77 0.8× 169 1.9× 14 1.1k
Stephen B. Kovacs 930 1.1× 407 0.8× 198 1.4× 112 1.2× 138 1.5× 9 1.2k

Countries citing papers authored by Beiyun C. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Beiyun C. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beiyun C. Liu. 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 Beiyun C. Liu. The network helps show where Beiyun C. Liu may publish in the future.

Co-authorship network of co-authors of Beiyun C. Liu

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

All Works

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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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