Liu Beiqing

511 total citations
12 papers, 415 citations indexed

About

Liu Beiqing is a scholar working on Immunology, Molecular Biology and Toxicology. According to data from OpenAlex, Liu Beiqing has authored 12 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Toxicology. Recurrent topics in Liu Beiqing's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Bioactive Compounds and Antitumor Agents (4 papers). Liu Beiqing is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Bioactive Compounds and Antitumor Agents (4 papers). Liu Beiqing collaborates with scholars based in United States. Liu Beiqing's co-authors include Ronald L. Whisler, Ming Chen, Yvonne G. Newhouse, Charity C. Fox, Lai‐Chu Wu, Kevin V. Hackshaw, Iveta Grants and Asad Haider and has published in prestigious journals such as The Journal of Immunology, Mechanisms of Ageing and Development and Cellular Immunology.

In The Last Decade

Liu Beiqing

12 papers receiving 405 citations

Peers

Liu Beiqing
Comparison fields: 5 of 67
  • Immunology 239
  • Molecular Biology 122
  • Neurology 67
  • Physiology 51
  • Oncology 40
Replace D. Lloyds with:
D. Lloyds United Kingdom
Himanshu P. Raikwar United States
Silvia Seubert Germany
Lisa Neumeier United States
Zhanfeng Liang China
Angelina F. Madden United Kingdom
Jillian Bradley United States
Ivana Glocova Germany
Sze Men Choi Belgium
P. De Togni Italy
D. Lloyds United Kingdom View profile →
Citations per field, relative to Liu Beiqing
Liu Beiqing · 1×
Citations per year, relative to Liu Beiqing
Liu Beiqing · 1×

Countries citing papers authored by Liu Beiqing

Since Specialization
Citations

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

Fields of papers citing papers by Liu Beiqing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Beiqing

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Beiqing. A scholar is included among the top collaborators of Liu Beiqing 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 Liu Beiqing. Liu Beiqing 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
# Work Indexed citations
1 7
2 26
3 46
4 17
5 37
6 36
7 16
8 100
9 52
10
Regulation of protein kinase enzymatic activity in Jurkat T cells during oxidative stress uncoupled from protein tyrosine kinases: role of oxidative changes in protein kinase activation requirements and generation of second messengers.
23
11 40
12 15

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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